Modified the list_models function to dynamically construct the model URL
by using an environment variable for the HuggingFace domain. This allows
for greater flexibility in specifying the domain and ensures that the
modification is also compatible with the Hub client library. By
supporting different environments or requirements without hardcoding the
domain name, this change facilitates the use of custom HuggingFace
domains not only within our code but also when interacting with the Hub
client library.
This adds the model description to the searchable terms.
This is particularly useful since the description can be used to store
arbitrary tags, independently from the filename, which is imposed by the
model publisher.
When input images (palette mode) have transparency (bytes) in info,
the output images (RGB mode) will inherit it,
causing ValueError in Pillow:PIL/PngImagePlugin.py#1364
when trying to unpack this bytes.
This commit check the PNG mode and transparency info,
removing transparency if it's RGB mode and transparency is bytes
LyCORIS will support save oft_blocks instead of oft_diag in the near future (for both OFT and BOFT)
But this means we need to store the rescale if user enable it.
The webui.sh installs ROCm5.4.2 as default. The webui run failed with AMD
Radeon Pro W7900 with **Segmentation Fault** at Ubuntu22.04 maybe the ABI
compatibility issue.
ROCm5.7 is the latest version supported by PyTorch (https://pytorch.org/)
at now. I test it with AMD Radeon Pro W7900 by PyTorch+ROCm5.7 with PASS.
Signed-off-by: Alex He <heye_dev@163.com>
change identifying a script from using Scripts class name to Scripts internal name an
as not all Script have unique names
raise RuntimeError when there's issue
--styles-file change to append str
--styles-file is [] then defaults to [styles.csv]
--styles-file accepts paths or paths with wildcard "*"
the first `--styles-file` entry is use as the default styles file path
if filename a wildcard then the first matching file is used
if no match is found, create a new "styles.csv" in the same dir as the first path
when saving a new style it will be save in the default styles file
when saving a existing style, it will be saved to file it belongs to
order of the styles files in the styles dropdown can be controlled to a certain degree by the order of --styles-file
* Only use `tqdm.write()` if `tqdm` is active, defer to stderr
* Correct log formatter for TqdmLoggingHandler
* If `rich` is installed and `SD_WEBUI_RICH_LOG` is set, use `rich`'s formatter
utli.truncate_path(target_path, base_path)
return the target_path relative to base_path if target_path is a sub path of base_path else return the absolute path
Cast `torch.bmm` args into same `dtype`.
Fixes the following error when using Text Inversion embedding (#14224):
```
RuntimeError: could not create a primitive descriptor for a matmul
primitive
```
Problem: The memory will slowly increase with the drawing until restarting.
Observation: GC analysis shows that no occupation has occurred, so it is suspected to be a problem with the underlying allocator.
Reason: Under Linux, glibc is used to allocate memory. glibc uses brk and mmap to allocate memory, and the memory allocated by brk cannot be released until the high-address memory is released. That is to say, if you apply for two pieces of memory A and B through brk, it is impossible to release A before B is released, and it is still occupied by the process. Check the suspected "memory leak" through TOP.
So I replaced TCMalloc, but found that libtcmalloc_minimal could not find ptthread_Key_Create. After analysis, it was found that pthread was not entered during compilation.
Fixes failing dependency checks for extensions having a different package name and import name (for example ffmpeg-python / ffmpeg), which currently is causing the unneeded reinstall of packages at runtime.
In fact with current code, the same string is used when installing a package and when checking for its presence, as you can see in the following example:
> launch_utils.run_pip("install ffmpeg-python", "required package")
[ Installing required package: "ffmpeg-python" ... ]
[ Installed ]
> launch_utils.is_installed("ffmpeg-python")
False
... which would actually return true with:
> launch_utils.is_installed("ffmpeg")
True
This tries to execute interpolate with FP32 if it failed.
Background is that
on some environment such as Mx chip MacOS devices, we get error as follows:
```
"torch/nn/functional.py", line 3931, in interpolate
return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: "upsample_nearest2d_channels_last" not implemented for 'Half'
```
In this case, ```--no-half``` doesn't help to solve. Therefore this commits add the FP32 fallback execution to solve it.
Note that the ```upsample_nearest2d``` is called from ```torch.nn.functional.interpolate```.
And the fallback for torch.nn.functional.interpolate is necessary at
```modules/sd_vae_approx.py``` 's ```VAEApprox.forward```
```repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py``` 's ```Upsample.forward```
autocrop.download_and_cache_models
in opencv >= 4.8 the face detection model was updated
download the base on opencv version
returns the model path or raise exception
fixes issue where "--use-cpu" all properly makes SD run on CPU but leaves ControlNet (and other extensions, I presume) pointed at GPU, causing a crash in ControlNet caused by a mismatch between devices between SD and CN
https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/14097
This tries to execute interpolate with FP32 if it failed.
Background is that
on some environment such as Mx chip MacOS devices, we get error as follows:
```
"torch/nn/functional.py", line 3931, in interpolate
return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: "upsample_nearest2d_channels_last" not implemented for 'Half'
```
In this case, ```--no-half``` doesn't help to solve. Therefore this commits add the FP32 fallback execution to solve it.
Note that the submodule may require additional modifications. The following is the example modification on the other submodule.
```repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py
class Upsample(nn.Module):
..snip..
def forward(self, x):
assert x.shape[1] == self.channels
if self.dims == 3:
x = F.interpolate(
x, (x.shape[2], x.shape[3] * 2, x.shape[4] * 2), mode="nearest"
)
else:
try:
x = F.interpolate(x, scale_factor=2, mode="nearest")
except:
x = F.interpolate(x.to(th.float32), scale_factor=2, mode="nearest").to(x.dtype)
if self.use_conv:
x = self.conv(x)
return x
..snip..
```
You can see the FP32 fallback execution as same as sd_vae_approx.py.
shared.opts.img2img_batch_show_results_limit
limit the number of images return to the UI for batch img2img
default limit 32
0 no images are shown
-1 unlimited, all images are shown
Since norm layer need fp32, I only convert the linear operation layer(conv2d/linear)
And TE have some pytorch function not support bf16 amp in CPU. I add a condition to indicate if the autocast is for unet.
With the release candidates being out for both torch and vision,
webui should default to these over nightly for a more stable experience.
Stable release isn't excpected until October 4th:
https://dev-discuss.pytorch.org/c/release-announcements/27
If a image / batch result image is higher or wider than the current viewport, and is zoomed (left corner zoom icon) it is cutted off on the top and also to the left. This new rule seems to be the culprit.
-custom_statics works to do mass replace strings, intended for copy-pasting gen info from internet generations and replacing unsavory prompts with safer prompts for my own sanity
-tried to implement this into generation_parameters_copypaste but it didn't work out this iteration, presumably because we return a string and the calling method is looking for an object type
-updated webui-user.bat to set a custom temp directory (for disk space concerns) and to apply xformers (for generation speed)
I probably won't be merging any of this work into the main repo since I don't want to mess with anyone else's prompts, this is just intended to keep my workspace safe from anything I don't want to see. Eventually this should be done in an extension which I could then publish, but I need to learn a lot more about the extension and callback systems in the main repo first. just uploading this to my fork for now so i don't lose the current progress.
fix blinking for live previews
fix a clientside live previews exception that happens when you kill serverside during sampling
match the size of live preview image to gallery image
Navi 3 needs at least 5.5 which is only on the nightly chain, previous versions are no longer online (torch==2.1.0.dev-20230614+rocm5.5 torchvision==0.16.0.dev-20230614+rocm5.5 torchaudio==2.1.0.dev-20230614+rocm5.5).
so switch to nightly rocm5.6 without explicit versions this time
For MPS, using a tensor created with `torch.empty()` can cause `torch.baddbmm()` to include NaNs in the tensor it returns, even though `beta=0`. However, with a tensor of shape [1,1,1], there should be a negligible performance difference between `torch.empty()` and `torch.zeros()` anyway, so it's better to just use `torch.zeros()` for this and avoid unnecessarily creating issues.
Even if this causes chunks to be much smaller, performance isn't significantly impacted. This will usually reduce memory usage but should also help with poor performance when free memory is low.
add VAE from main model into infotext, not from refiner model
option to make scripts UI without gr.Group
fix inconsistencies with refiner when usings samplers that do more denoising than steps
relative time range is [1..2]
absolute time range is [steps+1..steps+hire_steps], e.g. with 30 steps and 20 hires steps, '20' is 2/3rds through first pass, and 40 is halfway through hires pass
- correctly read values from pasted infotext
- setting for column count
- infotext paste: do not add a field to override settings if some other component is already handling it
- the setting for preferring opts.sd_vae has been inverted and reworded
- resolve_vae function made easier to read and now returns an object rather than a tuple
- if the checkbox for overriding per-model preferences is checked, opts.sd_vae overrides checkpoint user metadata
- changing VAE in user metadata for currently loaded model immediately applies the selection
you are the best, gradio
how I yearned for this day
i always believed in you
i knew you had it in you
this day marks a new beginning
thank you, everyone
thank you
When using BertSeriesModelWithTransformation as the cond_stage_model, the undo_hijack should be performed using the FrozenXLMREmbedderWithCustomWords type; otherwise, it will result in a failed model reload.
When passing `--novenv` flag to webui.sh it can skip venv.
Might be useful for installing in Docker since messing with venv in Docker might be a bit complicated.
Example usage:
`webui.sh --novenv`
Hope this gets approved and pushed into future versions of Web UI
Revert "Add github mirror for the download extension"
This reverts commit 9ec2ba2d28.
Revert "Update code style"
This reverts commit de022c4c80.
Revert "Update call method"
This reverts commit e9bd18c57b.
Revert "move github proxy to settings, System page."
This reverts commit 4981c7d370.
The code snippet print(interrogation_function(img), file=open(os.path.join(ii_output_dir, f"{left}.txt"), 'a')) raises a UnicodeEncodeError with the message "'charmap' codec can't encode character '\u016b' in position 129". This error occurs because the default encoding used by the open() function cannot handle certain Unicode characters.
To fix this issue, the encoding parameter needs to be explicitly specified when opening the file. By using an appropriate encoding, such as 'utf-8', we can ensure that Unicode characters are properly encoded and written to the file.
The updated code should be modified as follows:
python
Copy code
print(interrogation_function(img), file=open(os.path.join(ii_output_dir, f"{left}.txt"), 'a', encoding='utf-8'))
By making this change, the code will no longer raise the UnicodeEncodeError and will correctly handle Unicode characters during the file write operation.
Small QoL addition.
While there is the option to disable all extensions with the radio buttons at the top, that only acts as an added flag and doesn't really change the state of the extensions in the UI.
An use case for this checkbox is to disable all extensions except for a few, which is important for debugging extensions.
You could do that before, but you'd have to uncheck and recheck every extension one by one.
Navi 3 card now defaults to nightly torch to utilize rocm 5.5
for out-of-the-box support.
https://download.pytorch.org/whl/nightly/
While its not yet on the main pytorch "get started" site,
it still seems perfectly indexable via pip which is all we need.
With this I'm able to clone a fresh repo and immediately run ./webui.sh
on my 7900 XTX without any problems.
Without this fix, enabling the "Upcast cross attention layer to float32" option while also using `--opt-sdp-attention` breaks generation with an error:
```
File "/ext3/automatic1111/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 612, in sdp_attnblock_forward
out = torch.nn.functional.scaled_dot_product_attention(q, k, v, dropout_p=0.0, is_causal=False)
RuntimeError: Expected query, key, and value to have the same dtype, but got query.dtype: float key.dtype: float and value.dtype: c10::Half instead.
```
The fix is to make sure to upcast the value tensor too.
lspci detects VGA for main/integrated videocards and Display
for external videocards.
This commit should apply workarounds on computers with more than
one GPU. Useful for most laptops using weak iGPU and good dGPU.
Signed-off-by: Pablo Cholaky <waltercool@slash.cl>
usage of `shared.walk_files` breaks controlnet extension
images are processed in different order
which leads to unmatched img file used for img2img and img file used for controlnet
(if no folder is specified for control net
or the same as img2img input dir used for it)
split some code from ui.py into ui_settings.py ui_gradio_edxtensions.py
add before_process callback for scripts
add ability for alwayson scripts to specify section and let user reorder those sections
- /usr/sbin (where ldconfig is usually located) is not typically on users' PATHs by default, so we set that variable before trying to run ldconfig.
- The libtcmalloc library is called libtcmalloc_minimal on Debian/Ubuntu systems. We now check whether libtcmalloc_minimal exists when running prepare_tcmalloc.
* Instead of traversing tens of thousands of text nodes, only look at elements and their children
* Debounce the checks to happen only every one second
Improvements to handle VAE filenames in generated image filenames
Body:.
1) Added new line 24 to import sd_vae module.
2) Added new method get_vae_filename at lines 340-349 to obtain the VAE filename to be used for image generation and further process it to extract only the filename by splitting it with a dot symbol.
3) Added a new lambda function 'vae_filename' at line 373 to handle VAE filenames.
Reason:.
A function was needed to get the VAE filename and handle it in the program.
Test:.
We tested whether we could use this new functionality to get the expected file names.
The correct behaviour was confirmed for the following commonly distributed VAE files.
vae-ft-mse-840000-ema-pruned.safetensors -> vae-ft-mse-840000-ema-pruned
anything-v4.0.vae.pt -> anything-v4.0
ruff response:.
There were no problems with the code I added.
There was a minor configuration error in a line I did not modify, but I did not modify it as it was not relevant to this modification.
Logged.
images.py:426:56: F841 [*] Local variable `_` is assigned to but never used
images.py:432:43: F841 [*] Local variable `_` is assigned to but never used
Impact:.
This change makes it easier to retrieve the VAE filename used for image generation and use it in the programme.
add lora hashes to infotext
when pasting infotext, use infotext's lora hashes to find local loras for <lora:xxx:1> entries whose hashes match loras the user has
split out the visibility method for pasting and use a sort inside the paste handler to prioritize on-screen fields rather than targeting ONLY on screen fields
rewrite visibility checking to be more generic/cleaner as well as add functionality to check if the element is scrolled on screen for more intuitive paste-target selection
rework quoting for infotext items that have commas in them to use json (should be backwards compatible except for cases where it didn't work previously)
add some locals from processing function into the Processing class as fields
add slider for token merging for img2img
rework StableDiffusionProcessing to have the token_merging_ratio field
fix a bug with applying png optimizations for live previews when they shouldn't be applied
This doesn't enable any of ESLint's actual possible-issue linting,
but just style normalization based on the Prettier configuration (but without line length limits).
only download TAESD model when it's needed
return calculations in single_sample_to_image to just if/elif/elif blocks
keep taesd model in its own directory
Removing the max width for the model dropdown allows the user to see the full name of a model especially when it is long.
Model names are getting more complex and longer and the current width almost always cuts off model names.
If a user leverages folders than it pretty much always cuts off the name...
Searches sub directories and performs img2img batch processing, also limits inputs to jpg, webp, and png. Then saves to putput directory with relative paths.
Many users still use unverified versions of Python and file version-specific issues, often without mentioning version information, making troubleshooting difficult.
Allows web UI to (almost) be ran fully offline.
The web UI will hang on load if offline when
these fonts are not manually defined, as it will attempt (and fail)
to pull from Google Fonts.
1. Determine the number of query chunks.
2. Calculate the final shape of the res tensor.
3. Initialize the tensor with the calculated shape and dtype, (same dtype as the input tensors, usually)
Can initialize the tensor as a zero-filled tensor with the correct shape and dtype, then compute the attention scores for each query chunk and fill the corresponding slice of tensor.
allow setting defaults for elements in extensions' tabs
fix a problem with ESRGAN upscalers disappearing after UI reload
implicit change: HTML element id for train tab from tab_ti to tab_train (will this break things?)
Apparently the commit in the main branch of pytorch/pytorch that fixes this issue didn't make it into PyTorch 2.0.1, and since it is unclear exactly which release will have it we'll just always apply the workaround so a crash doesn't occur regardless.
create HTML for extra network pages only on demand
allow directories starting with . to still list their models for lora, checkpoints, etc
keep "search" filter for extra networks when user refreshes the page
Fix missing /docs endpoint in newer gradio versions
Newer versions of gradio (>=3.27.1) have removed the /docs endpoint by default. This commit adds it back to enable accessing the API documentation.
Removed context menu entry that used to be for rolling artists from the now removed artists.csv.
It was probably meant to be removed at commit 6d805b6.
When the user's home directory and username are inconsistent, an error message stating that the directory cannot be found will appear. Directly default the installation directory to the user's home directory
This change fixes an issue where an incorrect type was passed to the PIL.Image.open() function that caused the whole process to fail.
Scope of this change is limited to only batch image processing, and it shouldn't affect other functionality.
Sometimes tasks take longer than 5 seconds to start,
resulting in missing progress bar and livepreviews,
so we have to keep pulling for progress a bit longer (5s -> 20s).
This code (suggested by @abvgdeabvgde2 ) literally does the same thing and it does not break with Python 3.9, making it helpful for Google Colab users (me included).
fixes#8927
Also a partial fix for #8902 but it does not resolve the unresponsive UI problem faced by @Archon332
When user using model_name.png as a preview image, textural_inversion.py still treat it as an embeding, and didn't handle its error, just let python throw out an None type error like following:
```bash
File "D:\Work\Dev\AI\stable-diffusion-webui\modules\textual_inversion\textual_inversion.py", line 155, in load_from_file
name = data.get('name', name)
AttributeError: 'NoneType' object has no attribute 'get'
```
With just a simple `if data:` checking as following, there will be no error, breaks nothing, and now this module can works fine with user's preview images.
Old code:
```python
data = extract_image_data_embed(embed_image)
name = data.get('name', name)
```
New code:
```python
data = extract_image_data_embed(embed_image)
if data:
name = data.get('name', name)
else:
# if data is None, means this is not an embeding, just a preview image
return
```
Also, since there is no more errors on textual inversion module, from now on, extra network can set "model_name.png" as preview image for embedings.
On PyTorch 2.0, with MPS layer_norm only accepts float32 inputs. This was fixed shortly after 2.0 was finalized so the workaround can be applied with an exact version match.
The loopback script did not set masked content to original after first loop. So each loop would apply a fill, or latent mask. This would essentially reset progress each loop.
The desired behavior is to use the mask for the first loop, then continue to iterate on the results of the previous loop.
Why?
one of the internal calls of `load_file_from_url` import cv2, which locks the cv2 site-package, which extensions may (and in our case, is) breaking the installation of some libraries. The base project should be limiting its import of unnecessary libraries when possible during the installation phase.
- Improved user experience. You can now pick the denoising strength of the final loop and one of three curves. Previously you picked a multiplier such as 0.98 or 1.03 to define the change to the denoising strength for each loop. You had to do a ton of math in your head to visualize what was happening. The new UX makes it very easy to understand what's going on and tweak.
- For batch sizes over 1, intermediate images no longer returned. For a batch size of 1, intermediate images from each loop will continue to be returned. When more than 1 image is returned, a grid will also be generated. Previously for larger jobs, you'd get back a mess of many grids and potentially hundreds of images with no organization. To make large jobs usable, only final images are returned.
- Added support for skipping current image. Fixed interrupt to cleanly end and return images. Previously these would throw.
- Improved tooltip descriptions
- Fix some edge cases
Installation should not be assumed to be located within ~/home directory. User should be expected to install project anywhere and run the startup scripts while in stable-diffusion-webui directory.
See issue #8534
Installation should not be assumed to be located within ~/home directory. User should be expected to install project anywhere and run the startup scripts while in stable-diffusion-webui directory.
See issue #8534
Installation should not be assumed to be located within ~/home directory. User should expected to install project anywhere and run the startup scripts while in stable-diffusion-webui directory.
launch.py: using getcwd() instead curdir
launch.py: use absolute path for preparing
also remove chdir()
launch.py: use absolute path for test
launch.py: add default script_path and data_path
This may be helpful for
https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/7028,
because we won't change working directory to the repo now, instead,
we will use any working directory. If we set working directory to
a path contains repo and the custom --data-dir, the problem in this
issue should be solved.
Howewer, this may be treated as an incompatible change if some code
assume the working directory is always the repo.
Also, there may be another solution that always let --data-dir be the
subdirectory of the repo, but personally I think this may not be what
we actually need.
As this issue mainly influent on Docker and I am not familiar with
.bat files, updating webui.bat is skipped.
webui.sh: source env from repo instead $PWD
modify css
`.extra-network-thumbs .card:hover .additional a` 's value from `block` to `inline-block`.
So, extensions can add more buttons to extra network's thumbnail card.
When the massive one-liner was split into multiple lines, it lost the ability to handle newlines. This removes empty strings & newline characters from the logins. It also closes the file so it's more robust if the garbage collection function is ever changed.
Added 2 additional possible entries in the api request: alwayson_script_name, a string list, and, alwayson_script_args, a list of list containing the args of each script. This allows us to send args to always on script and keep backwards compatibility with old script_name and script_arg api params
this file last commit fixed common situation when using both prompts matrix and high-res。
but if we just open matrix option，but not use ‘|’，we will only get one pic，and `processed.images[0].width, processed.images[1].height` will cause a index out of bounds exception
Default choices added to settings in user interface section
Choices are editable by user
User selects from dropdown.
When you move one slider, the other adjusts according to the ratio
chosen.
Vice versa for the other slider.
Number fields for changes work as well.
For disabling ratio, an unlock pad "🔓" is available as a default.
This string can be changed to anything to serve as a disable,
as long as there is no colon ":".
Ratios are entered in this format, floats or ints with a colon "1:1".
The string is split at the colon, parses left and right as floats to
perform the math.
'absolute' and 'resolve' are equivalent, but 'resolve' resolves symlinks (which is an obscure specialty behavior usually not wanted) whereas 'absolute' treats symlinks as folders (which is the expected behavior). This commit allows you to symlink folders within your models/embeddings/etc. dirs and have preview images load as expected without issue.
os.path.getmtime(filename) throws exception later in codepath when meeting broken symlink. For now catch it here early but more checks could be added for robustness.
If image_cfg_scale is =1 then the original image is not used for the output. We can then use the original CFGDenoiser to get the same result to support AND functionality.
Maybe in the future AND can be supported with "Image CFG Scale"
Uses separate denoiser for edit (instruct-pix2pix) models
No impact to txt2img or regular img2img
"Image CFG Scale" will only apply to instruct-pix2pix models and metadata will only be added if using such model
- images.draw_prompt_matrix() should be called with the final width/height
of the generated images, after upscaling.
Otherwise, the number of rows/cols computed in images.draw_grid_annotations
will increase by the upscaling factor.
- Round the number of cols/rows in images.draw_grid_annotations, since
the final images width may be a bit less than the required
hr_upscale_to_x/y
When a set number of grid rows is specified in settings, then it leads
to situations where an entire row in the grid is empty.
The most noticable example is the processing preview when the row count
is set to 2, where it shows the preview just fine but with a black
rectangle under it.
fixed a bug where if you update a selected checkpoint on disk and then restart the program, a different checkpoint loads, but the name is shown for the the old one.
Apparently the version of PyTorch macOS users are currently at doesn't always handle half precision VAEs correctly. We will probably want to update the default PyTorch version to 2.0 when it comes out which should fix that, and at this point nightly builds of PyTorch 2.0 are going to be recommended for most Mac users. Unfortunately someone has already reported that their M2 Mac doesn't work with the nightly PyTorch 2.0 build currently, so we can add --no-half-vae for now and give users that can install nightly PyTorch 2.0 builds a webui-user.sh configuration that overrides the default.
Usage: `--gradio-auth-path {PATH}`
It adds the credentials to the already existing `--gradio-auth` credentials. It can also handle line breaks.
The file should look like:
`{u1}:{p1},{u2}:{p2}`
or
```
{u1}:{p1},
{u2}:{p2}
```
Will gradio handle duplicate credentials if it happens?
previously module attributes like __file__ where not set correctly,
leading to scripts getting the directory of the stable-diffusion repo
location instead of their own script.
This causes problem when loading user data from an external location
using the --data-dir flag, as extensions would look for their own code
in the stable-diffusion repo location instead of the data dir location.
Using pythons importlib functions sets the modules specs correctly and
executes them. But this will break extensions if they build paths based
on the previously incorrect __file__ attribute.
Allows loading instruct-pix2pix models via same method as inpainting models in sd_models.py and sd_hijack_ip2p.py
Adds ddpm_edit.py necessary for instruct-pix2pix
Adds "Upcast cross attention layer to float32" option in Stable Diffusion settings. This allows for generating images using SD 2.1 models without --no-half or xFormers.
In order to make upcasting cross attention layer optimizations possible it is necessary to indent several sections of code in sd_hijack_optimizations.py so that a context manager can be used to disable autocast. Also, even though Stable Diffusion (and Diffusers) only upcast q and k, unfortunately my findings were that most of the cross attention layer optimizations could not function unless v is upcast also.
This also handles type casting so that ROCm and MPS torch devices work correctly without --no-half. One cast is required for deepbooru in deepbooru_model.py, some explicit casting is required for img2img and inpainting. depth_model can't be converted to float16 or it won't work correctly on some systems (it's known to have issues on MPS) so in sd_models.py model.depth_model is removed for model.half().
The loading of the model for approx nn live previews can change the internal state of PyTorch, resulting in a different image. This can be avoided by preloading the approx nn model in advance.
description:You think somethings is broken in the UI
description:You think something is broken in the UI
title:"[Bug]: "
labels:["bug-report"]
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label:Is there an existing issue for this?
description:Please search to see if an issue already exists for the bug you encountered, and that it hasn't been fixed in a recent build/commit.
options:
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value:|
*Please fill this form with as much information as possible, don't forget to fill "What OS..." and "What browsers" and *providescreenshots if possible**
> The title of the bug report should be short and descriptive.
> Use relevant keywords for searchability.
> Do not leave it blank, but also do not put an entire error log in it.
- type:checkboxes
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Please perform basic debugging to see if extensions or configuration is the cause of the issue.
Basic debug procedure
1. Disable all third-party extensions - check if extension is the cause
2. Update extensions and webui - sometimes things just need to be updated
3. Backup and remove your config.json and ui-config.json - check if the issue is caused by bad configuration
4. Delete venv with third-party extensions disabled - sometimes extensions might cause wrong libraries to be installed
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Before making a issue report please, check that the issue hasn't been reported recently.
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> Please fill this form with as much information as possible. Don't forget to "Upload Sysinfo" and "What browsers" and provide screenshots if possible
- type:textarea
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attributes:
label:What happened?
description:Tell us what happened in a very clear and simple way
placeholder:|
txt2img is not working as intended.
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label:Steps to reproduce the problem
description:Please provide us with precise step by step information on how to reproduce the bug
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1. Go to ...
2. Press ...
3. ...
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@@ -37,28 +57,11 @@ body:
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description:tell what you think the normal behavior should be
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WebUI should ...
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@@ -70,14 +73,33 @@ body:
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1. Go to WebUI Settings -> Sysinfo -> Download system info.
If WebUI fails to launch, use --dump-sysinfo commandline argument to generate the file
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Please provide us with any relevant additional info or context.
# Please read the [contributing wiki page](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing) before submitting a pull request!
## Description
If you have a large change, pay special attention to this paragraph:
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* a summary of changes in code
* which issues it fixes, if any
> Before making changes, if you think that your feature will result in more than 100 lines changing, find me and talk to me about the feature you are proposing. It pains me to reject the hard work someone else did, but I won't add everything to the repo, and it's better if the rejection happens before you have to waste time working on the feature.
## Screenshots/videos:
Otherwise, after making sure you're following the rules described in wiki page, remove this section and continue on.
**Describe what this pull request is trying to achieve.**
## Checklist:
A clear and concise description of what you're trying to accomplish with this, so your intent doesn't have to be extracted from your code.
**Additional notes and description of your changes**
More technical discussion about your changes go here, plus anything that a maintainer might have to specifically take a look at, or be wary of.
**Environment this was tested in**
List the environment you have developed / tested this on. As per the contributing page, changes should be able to work on Windows out of the box.
If applicable, screenshots or a video showing off your changes. If it edits an existing UI, it should ideally contain a comparison of what used to be there, before your changes were made.
This is **required** for anything that touches the user interface.
- [ ] I have read [contributing wiki page](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
- [ ] I have performed a self-review of my own code
- [ ] My code follows the [style guidelines](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing#code-style)
- [ ] My code passes [tests](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Tests)
# See https://github.com/actions/starter-workflows/blob/1067f16ad8a1eac328834e4b0ae24f7d206f810d/ci/pylint.yml for original reference file
name:Run Linting/Formatting on Pull Requests
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# See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#onpull_requestpull_request_targetbranchesbranches-ignore for syntax docs
# if you want to filter out branches, delete the `- pull_request` and uncomment these lines :
* Make refiner switchover based on model timesteps instead of sampling steps ([#14978](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14978))
* add an option to have old-style directory view instead of tree view; stylistic changes for extra network sorting/search controls
* add UI for reordering callbacks, support for specifying callback order in extension metadata ([#15205](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15205))
* Sgm uniform scheduler for SDXL-Lightning models ([#15325](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15325))
* Scheduler selection in main UI ([#15333](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15333), [#15361](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15361), [#15394](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15394))
### Minor:
* "open images directory" button now opens the actual dir ([#14947](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14947))
* Support inference with LyCORIS BOFT networks ([#14871](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14871), [#14973](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14973))
* make extra network card description plaintext by default, with an option to re-enable HTML as it was
* resize handle for extra networks ([#15041](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15041))
* cmd args: `--unix-filenames-sanitization` and `--filenames-max-length` ([#15031](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15031))
* show extra networks parameters in HTML table rather than raw JSON ([#15131](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15131))
* Add DoRA (weight-decompose) support for LoRA/LoHa/LoKr ([#15160](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15160), [#15283](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15283))
* Add '--no-prompt-history' cmd args for disable last generation prompt history ([#15189](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15189))
* update preview on Replace Preview ([#15201](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15201))
* only fetch updates for extensions' active git branches ([#15233](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15233))
* put upscale postprocessing UI into an accordion ([#15223](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15223))
* Support dragdrop for URLs to read infotext ([#15262](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15262))
* use diskcache library for caching ([#15287](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15287), [#15299](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15299))
* Allow PNG-RGBA for Extras Tab ([#15334](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15334))
* Support cover images embedded in safetensors metadata ([#15319](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15319))
* faster interrupt when using NN upscale ([#15380](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15380))
* Extras upscaler: an input field to limit maximul side length for the output image ([#15293](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15293), [#15415](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15415), [#15417](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15417), [#15425](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15425))
* add an option to hide postprocessing options in Extras tab
* call script_callbacks.ui_settings_callback earlier; fix extra-options-section built-in extension killing the ui if using a setting that doesn't exist
* make it possible to use zoom.js outside webui context ([#15286](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15286), [#15288](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15288))
* allow variants for extension name in metadata.ini ([#15290](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15290))
* make reloading UI scripts optional when doing Reload UI, and off by default
* put request: gr.Request at start of img2img function similar to txt2img
* open_folder as util ([#15442](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15442))
* make it possible to import extensions' script files as `import scripts.<filename>` ([#15423](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15423))
### Performance:
* performance optimization for extra networks HTML pages
* optimization for extra networks filtering
* optimization for extra networks sorting
### Bug Fixes:
* prevent escape button causing an interrupt when no generation has been made yet
* [bug] avoid doble upscaling in inpaint ([#14966](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14966))
* possible fix for reload button not appearing in some cases for extra networks.
* fix: the `split_threshold` parameter does not work when running Split oversized images ([#15006](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15006))
* Fix resize-handle visability for vertical layout (mobile) ([#15010](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15010))
* register_tmp_file also for mtime ([#15012](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15012))
* Protect alphas_cumprod during refiner switchover ([#14979](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14979))
* Fix EXIF orientation in API image loading ([#15062](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15062))
* Only override emphasis if actually used in prompt ([#15141](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15141))
* Fix emphasis infotext missing from `params.txt` ([#15142](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15142))
* chore: fix font not loaded ([#15183](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15183))
* use natural sort in extra networks when ordering by path
* Fix built-in lora system bugs caused by torch.nn.MultiheadAttention ([#15190](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15190))
* Avoid error from None in get_learned_conditioning ([#15191](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15191))
* Add entry to MassFileLister after writing metadata ([#15199](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15199))
* fix issue with Styles when Hires prompt is used ([#15269](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15269), [#15276](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15276))
* Strip comments from hires fix prompt ([#15263](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15263))
* Make imageviewer event listeners browser consistent ([#15261](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15261))
* Fix AttributeError in OFT when trying to get MultiheadAttention weight ([#15260](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15260))
* Add missing .mean() back ([#15239](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15239))
* [alternative fix] can't load webui if selected wrong extra option in ui ([#15121](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15121))
* Error handling for unsupported transparency ([#14958](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14958))
* Add model description to searched terms ([#15198](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15198))
* bump action version ([#15272](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15272))
* PEP 604 annotations ([#15259](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15259))
* Automatically Set the Scale by value when user selects an Upscale Model ([#15244](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15244))
* move postprocessing-for-training into builtin extensions ([#15222](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15222))
* type hinting in shared.py ([#15211](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15211))
* FP8 support ([#14031](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14031), [#14327](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14327))
* Support for SDXL-Inpaint Model ([#14390](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14390))
* Use Spandrel for upscaling and face restoration architectures ([#14425](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14425), [#14467](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14467), [#14473](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14473), [#14474](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14474), [#14477](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14477), [#14476](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14476), [#14484](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14484), [#14500](https://github.com/AUTOMATIC1111/stable-difusion-webui/pull/14500), [#14501](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14501), [#14504](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14504), [#14524](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14524), [#14809](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14809))
* Automatic backwards version compatibility (when loading infotexts from old images with program version specified, will add compatibility settings)
* Add a [✨] button to run hires fix on selected image in the gallery (with help from [#14598](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14598), [#14626](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14626), [#14728](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14728))
* [Separate assets repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui-assets); serve fonts locally rather than from google's servers
* Official LCM Sampler Support ([#14583](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14583))
* Add support for DAT upscaler models ([#14690](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14690), [#15039](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15039))
* Extra Networks Tree View ([#14588](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14588), [#14900](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14900))
* NPU Support ([#14801](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14801))
* Prompt comments support
### Minor:
* Allow pasting in WIDTHxHEIGHT strings into the width/height fields ([#14296](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14296))
* add option: Live preview in full page image viewer ([#14230](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14230), [#14307](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14307))
* Add keyboard shortcuts for generate/skip/interrupt ([#14269](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14269))
* Better TCMALLOC support on different platforms ([#14227](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14227), [#14883](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14883), [#14910](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14910))
* Lora not found warning ([#14464](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14464))
* Adding negative prompts to Loras in extra networks ([#14475](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14475))
* xyz_grid: allow varying the seed along an axis separate from axis options ([#12180](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12180))
* option to convert VAE to bfloat16 (implementation of [#9295](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9295))
* Better IPEX support ([#14229](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14229), [#14353](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14353), [#14559](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14559), [#14562](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14562), [#14597](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14597))
* Option to interrupt after current generation rather than immediately ([#13653](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13653), [#14659](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14659))
* Fullscreen Preview control fading/disable ([#14291](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14291))
* Finer settings freezing control ([#13789](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13789))
* Adjust brush size with hotkeys ([#14638](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14638))
* Add checkpoint info to csv log file when saving images ([#14663](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14663))
* Make more columns resizable ([#14740](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14740), [#14884](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14884))
* Add an option to not overlay original image for inpainting for #14727
* Add Pad conds v0 option to support same generation with DDIM as before 1.6.0
* Add "Interrupting..." placeholder.
* Button for refresh extensions list ([#14857](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14857))
* Add an option to disable normalization after calculating emphasis. ([#14874](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14874))
* When counting tokens, also include enabled styles (can be disabled in settings to revert to previous behavior)
* Configuration for the [📂] button for image gallery ([#14947](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14947))
* Support inference with LyCORIS BOFT networks ([#14871](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14871), [#14973](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14973))
* support resizable columns for touch (tablets) ([#15002](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15002))
### Extensions and API:
* Removed packages from requirements: basicsr, gfpgan, realesrgan; as well as their dependencies: absl-py, addict, beautifulsoup4, future, gdown, grpcio, importlib-metadata, lmdb, lpips, Markdown, platformdirs, PySocks, soupsieve, tb-nightly, tensorboard-data-server, tomli, Werkzeug, yapf, zipp, soupsieve
* Enable task ids for API ([#14314](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14314))
* add override_settings support for infotext API
* rename generation_parameters_copypaste module to infotext_utils
* prevent crash due to Script __init__ exception ([#14407](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14407))
* Bump numpy to 1.26.2 ([#14471](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14471))
* Add utility to inspect a model's dtype/device ([#14478](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14478))
* Implement general forward method for all method in built-in lora ext ([#14547](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14547))
* Execute model_loaded_callback after moving to target device ([#14563](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14563))
* Add self to CFGDenoiserParams ([#14573](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14573))
* Allow TLS with API only mode (--nowebui) ([#14593](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14593))
* New callback: postprocess_image_after_composite ([#14657](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14657))
* modules/api/api.py: add api endpoint to refresh embeddings list ([#14715](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14715))
* Massive performance improvement for extra networks directories with a huge number of files in them in an attempt to tackle #14507 ([#14528](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14528))
* Reduce unnecessary re-indexing extra networks directory ([#14512](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14512))
* fix multiple bugs related to styles multi-file support ([#14203](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14203), [#14276](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14276), [#14707](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14707))
* include infotext into saved init image for img2img ([#14452](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14452))
* xyz grid handle axis_type is None ([#14394](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14394))
* Update Added (Fixed) IPV6 Functionality When there is No Webui Argument Passed webui.py ([#14354](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14354))
* fix API thread safe issues of txt2img and img2img ([#14421](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14421))
* handle selectable script_index is None ([#14487](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14487))
* handle config.json failed to load ([#14525](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14525), [#14767](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14767))
* paste infotext cast int as float ([#14523](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14523))
* Ensure GRADIO_ANALYTICS_ENABLED is set early enough ([#14537](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14537))
* Fix logging configuration again ([#14538](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14538))
* Handle CondFunc exception when resolving attributes ([#14560](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14560))
* Fix extras big batch crashes ([#14699](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14699))
* Fix using wrong model caused by alias ([#14655](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14655))
* Add # to the invalid_filename_chars list ([#14640](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14640))
* Fix extension check for requirements ([#14639](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14639))
* Fix tab indexes are reset after restart UI ([#14637](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14637))
* Keep postprocessing upscale selected tab after restart ([#14702](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14702))
* XYZ grid: filter out blank vals when axis is int or float type (like int axis seed) ([#14754](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14754))
* fix extra networks metadata failing to work properly when you create the .json file with metadata for the first time.
* util.walk_files extensions case insensitive ([#14879](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14879))
* if extensions page not loaded, prevent apply ([#14873](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14873))
* call the right function for token counter in img2img
* Fix the bugs that search/reload will disappear when using other ExtraNetworks extensions ([#14939](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14939))
* Gracefully handle mtime read exception from cache ([#14933](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14933))
* Only trigger interrupt on `Esc` when interrupt button visible ([#14932](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14932))
* Disable prompt token counters option actually disables token counting rather than just hiding results.
* avoid double upscaling in inpaint ([#14966](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14966))
* Fix #14591 using translated content to do categories mapping ([#14995](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14995))
* fix: the `split_threshold` parameter does not work when running Split oversized images ([#15006](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15006))
* Fix resize-handle for mobile ([#15010](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15010), [#15065](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/15065))
### Other:
* Assign id for "extra_options". Replace numeric field with slider. ([#14270](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14270))
* change state dict comparison to ref compare ([#14216](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14216))
* Bump torch-rocm to 5.6/5.7 ([#14293](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14293))
* Base output path off data path ([#14446](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14446))
* reorder training preprocessing modules in extras tab ([#14367](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14367))
* Logging: set formatter correctly for fallback logger too ([#14618](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14618))
* Read generation info from infotexts rather than json for internal needs (save, extract seed from generated pic) ([#14645](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14645))
* read infotext from gif images ([#13068](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13068))
* allow configuring the initial state of InputAccordion in ui-config.json ([#13189](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13189))
* allow editing whitespace delimiters for ctrl+up/ctrl+down prompt editing ([#13444](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13444))
* added option to play notification sound or not ([#13631](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13631))
* show the preview image in the full screen image viewer if available ([#13459](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13459))
* support for webui.settings.bat ([#13638](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13638))
* add an option to not print stack traces on ctrl+c
* start/restart generation by Ctrl (Alt) + Enter ([#13644](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13644))
* update prompts_from_file script to allow concatenating entries with the general prompt ([#13733](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13733))
* added a visible checkbox to input accordion
* added an option to hide all txt2img/img2img parameters in an accordion ([#13826](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13826))
* added 'Path' sorting option for Extra network cards ([#13968](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13968))
* enable prompt hotkeys in style editor ([#13931](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13931))
* option to show batch img2img results in UI ([#14009](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14009))
* infotext updates: add option to disregard certain infotext fields, add option to not include VAE in infotext, add explanation to infotext settings page, move some options to infotext settings page
* add FP32 fallback support on sd_vae_approx ([#14046](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14046))
* support XYZ scripts / split hires path from unet ([#14126](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14126))
* allow use of multiple styles csv files ([#14125](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14125))
* make extra network card description plaintext by default, with an option (Treat card description as HTML) to re-enable HTML as it was (originally by [#13241](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13241))
### Extensions and API:
* update gradio to 3.41.2
* support installed extensions list api ([#12774](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12774))
* update pnginfo API to return dict with parsed values
* add noisy latent to `ExtraNoiseParams` for callback ([#12856](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12856))
* show extension datetime in UTC ([#12864](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12864), [#12865](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12865), [#13281](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13281))
* add an option to choose how to combine hires fix and refiner
* include program version in info response. ([#13135](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13135))
* sd_unet support for SDXL
* patch DDPM.register_betas so that users can put given_betas in model yaml ([#13276](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13276))
* allow multiple localization files with same language in extensions ([#13077](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13077))
* add onEdit function for js and rework token-counter.js to use it
* fix the key error exception when processing override_settings keys ([#13567](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13567))
* ability for extensions to return custom data via api in response.images ([#13463](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13463))
* call state.jobnext() before postproces*() ([#13762](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13762))
* add option to set notification sound volume ([#13884](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13884))
* update Ruff to 0.1.6 ([#14059](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14059))
* catch uncaught exception with ui creation scripts ([#14120](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14120))
* use extension name for determining an extension is installed in the index ([#14063](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14063))
* update is_installed() from launch_utils.py to fix reinstalling already installed packages ([#14192](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14192))
### Bug Fixes:
* fix pix2pix producing bad results
* fix defaults settings page breaking when any of main UI tabs are hidden
* fix error that causes some extra networks to be disabled if both <lora:> and <lyco:> are present in the prompt
* fix for Reload UI function: if you reload UI on one tab, other opened tabs will no longer stop working
* update card on correct tab when editing metadata ([#13411](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13411))
* fix viewing/editing metadata when filename contains an apostrophe ([#13395](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13395))
* fix: --sd_model in "Prompts from file or textbox" script is not working ([#13302](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13302))
* better Support for Portable Git ([#13231](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13231))
* fix issues when webui_dir is not work_dir ([#13210](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13210))
* account for customizable extra network separators whyen removing extra network text from the prompt ([#12877](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12877))
* re fix batch img2img output dir with script ([#13170](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13170))
* fix `--ckpt-dir` path separator and option use `short name` for checkpoint dropdown ([#13139](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13139))
* consolidated allowed preview formats, Fix extra network `.gif` not woking as preview ([#13121](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13121))
* fix venv_dir=- environment variable not working as expected on linux ([#13469](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13469))
* fix bug when using --gfpgan-models-path ([#13718](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13718))
* properly apply sort order for extra network cards when selected from dropdown
* fixes generation restart not working for some users when 'Ctrl+Enter' is pressed ([#13962](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13962))
* thread safe extra network list_items ([#13014](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13014))
* fix not able to exit metadata popup when pop up is too big ([#14156](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14156))
* fix auto focal point crop for opencv >= 4.8 ([#14121](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14121))
* make 'use-cpu all' actually apply to 'all' ([#14131](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14131))
* extras tab batch: actually use original filename
* make webui not crash when running with --disable-all-extensions option
* revert SGM noise multiplier change for img2img because it breaks hires fix
* do not change quicksettings dropdown option when value returned is `None` ([#12854](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12854))
* fix: checkpoints_loaded:{checkpoint:state_dict}, model.load_state_dict issue in dict value empty ([#13535](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13535))
* dir buttons start with / so only the correct dir will be shown and no… ([#13957](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13957))
* alternate implementation for unet forward replacement that does not depend on hijack being applied
* re-add `keyedit_delimiters_whitespace` setting lost as part of commit e294e46 ([#14178](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14178))
* fix `save_samples` being checked early when saving masked composite ([#14177](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14177))
* slight optimization for mask and mask_composite ([#14181](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14181))
* add import_hook hack to work around basicsr/torchvision incompatibility ([#14186](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14186))
## 1.6.1
### Bug Fixes:
* fix an error causing the webui to fail to start ([#13839](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/13839))
## 1.6.0
### Features:
* refiner support [#12371](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12371)
* add NV option for Random number generator source setting, which allows to generate same pictures on CPU/AMD/Mac as on NVidia videocards
* add style editor dialog
* hires fix: add an option to use a different checkpoint for second pass ([#12181](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12181))
* option to keep multiple loaded models in memory ([#12227](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12227))
* rework DDIM, PLMS, UniPC to use CFG denoiser same as in k-diffusion samplers:
* makes all of them work with img2img
* makes prompt composition possible (AND)
* makes them available for SDXL
* always show extra networks tabs in the UI ([#11808](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/11808))
* use less RAM when creating models ([#11958](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/11958), [#12599](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12599))
* textual inversion inference support for SDXL
* extra networks UI: show metadata for SD checkpoints
* checkpoint merger: add metadata support
* prompt editing and attention: add support for whitespace after the number ([ red : green : 0.5 ]) (seed breaking change) ([#12177](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12177))
* VAE: allow selecting own VAE for each checkpoint (in user metadata editor)
* VAE: add selected VAE to infotext
* options in main UI: add own separate setting for txt2img and img2img, correctly read values from pasted infotext, add setting for column count ([#12551](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12551))
* add resize handle to txt2img and img2img tabs, allowing to change the amount of horizontable space given to generation parameters and resulting image gallery ([#12687](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12687), [#12723](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12723))
* change default behavior for batching cond/uncond -- now it's on by default, and is disabled by an UI setting (Optimizatios -> Batch cond/uncond) - if you are on lowvram/medvram and are getting OOM exceptions, you will need to enable it
* show current position in queue and make it so that requests are processed in the order of arrival ([#12707](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12707))
* add `--medvram-sdxl` flag that only enables `--medvram` for SDXL models
* prompt editing timeline has separate range for first pass and hires-fix pass (seed breaking change) ([#12457](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12457))
* XYZ: in the axis labels, remove pathnames from model filenames
* XYZ: support hires sampler ([#12298](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12298))
* XYZ: new option: use text inputs instead of dropdowns ([#12491](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12491))
* add gradio version warning
* sort list of VAE checkpoints ([#12297](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12297))
* use transparent white for mask in inpainting, along with an option to select the color ([#12326](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12326))
* move some settings to their own section: img2img, VAE
* add checkbox to show/hide dirs for extra networks
* Add TAESD(or more) options for all the VAE encode/decode operation ([#12311](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12311))
* gradio theme cache, new gradio themes, along with explanation that the user can input his own values ([#12346](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12346), [#12355](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12355))
* update README.md with correct instructions for Linux installation ([#12352](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12352))
* option to not save incomplete images, on by default ([#12338](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12338))
* enable cond cache by default
* git autofix for repos that are corrupted ([#12230](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12230))
* allow to open images in new browser tab by middle mouse button ([#12379](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12379))
* automatically open webui in browser when running "locally" ([#12254](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12254))
* put commonly used samplers on top, make DPM++ 2M Karras the default choice
* zoom and pan: option to auto-expand a wide image, improved integration ([#12413](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12413), [#12727](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12727))
* option to cache Lora networks in memory
* rework hires fix UI to use accordion
* face restoration and tiling moved to settings - use "Options in main UI" setting if you want them back
* change quicksettings items to have variable width
* Lora: add Norm module, add support for bias ([#12503](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12503))
* Lora: output warnings in UI rather than fail for unfitting loras; switch to logging for error output in console
* support search and display of hashes for all extra network items ([#12510](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12510))
* add extra noise param for img2img operations ([#12564](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12564))
* support for Lora with bias ([#12584](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12584))
* make interrupt quicker ([#12634](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12634))
* make results column sticky ([#12645](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12645))
* more hash filename patterns ([#12639](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12639))
* make image viewer actually fit the whole page ([#12635](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12635))
* make progress bar work independently from live preview display which results in it being updated a lot more often
* forbid Full live preview method for medvram and add a setting to undo the forbidding
* make it possible to localize tooltips and placeholders
* add option to align with sgm repo's sampling implementation ([#12818](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12818))
* Restore faces and Tiling generation parameters have been moved to settings out of main UI
* if you want to put them back into main UI, use `Options in main UI` setting on the UI page.
### Extensions and API:
* gradio 3.41.2
* also bump versions for packages: transformers, GitPython, accelerate, scikit-image, timm, tomesd
* support tooltip kwarg for gradio elements: gr.Textbox(label='hello', tooltip='world')
* properly clear the total console progressbar when using txt2img and img2img from API
* add cmd_arg --disable-extra-extensions and --disable-all-extensions ([#12294](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12294))
* shared.py and webui.py split into many files
* add --loglevel commandline argument for logging
* add a custom UI element that combines accordion and checkbox
* avoid importing gradio in tests because it spams warnings
* put infotext label for setting into OptionInfo definition rather than in a separate list
* make `StableDiffusionProcessingImg2Img.mask_blur` a property, make more inline with PIL `GaussianBlur` ([#12470](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12470))
* option to make scripts UI without gr.Group
* add a way for scripts to register a callback for before/after just a single component's creation
* use dataclass for StableDiffusionProcessing
* store patches for Lora in a specialized module instead of inside torch
* support http/https URLs in API ([#12663](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12663), [#12698](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12698))
* add extra noise callback ([#12616](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12616))
* dump current stack traces when exiting with SIGINT
* add type annotations for extra fields of shared.sd_model
### Bug Fixes:
* Don't crash if out of local storage quota for javascriot localStorage
* XYZ plot do not fail if an exception occurs
* fix missing TI hash in infotext if generation uses both negative and positive TI ([#12269](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12269))
* fix sdxl model invalid configuration after the hijack
* correctly toggle extras checkbox for infotext paste ([#12304](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12304))
* open raw sysinfo link in new page ([#12318](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12318))
* prompt parser: Account for empty field in alternating words syntax ([#12319](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12319))
* add tab and carriage return to invalid filename chars ([#12327](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12327))
* fix api only Lora not working ([#12387](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12387))
* fix options in main UI misbehaving when there's just one element
* make it possible to use a sampler from infotext even if it's hidden in the dropdown
* fix styles missing from the prompt in infotext when making a grid of batch of multiplie images
* prevent bogus progress output in console when calculating hires fix dimensions
* fix --use-textbox-seed
* fix broken `Lora/Networks: use old method` option ([#12466](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12466))
* properly return `None` for VAE hash when using `--no-hashing` ([#12463](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12463))
* MPS/macOS fixes and optimizations ([#12526](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12526))
* add second_order to samplers that mistakenly didn't have it
* when refreshing cards in extra networks UI, do not discard user's custom resolution
* fix processing error that happens if batch_size is not a multiple of how many prompts/negative prompts there are ([#12509](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12509))
* fix inpaint upload for alpha masks ([#12588](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12588))
* fix exception when image sizes are not integers ([#12586](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12586))
* auto add data-dir to gradio-allowed-path ([#12603](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12603))
* fix exception if extensuions dir is missing ([#12607](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12607))
* fix issues with api model-refresh and vae-refresh ([#12638](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12638))
* fix img2img background color for transparent images option not being used ([#12633](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12633))
* attempt to resolve NaN issue with unstable VAEs in fp32 mk2 ([#12630](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12630))
* fix errors in backup/restore tab if any of config files are broken ([#12689](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12689))
* fix SD VAE switch error after model reuse ([#12685](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12685))
* fix trying to create images too large for the chosen format ([#12667](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12667))
* create Gradio temp directory if necessary ([#12717](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12717))
* prevent possible cache loss if exiting as it's being written by using an atomic operation to replace the cache with the new version
* set devices.dtype_unet correctly
* run RealESRGAN on GPU for non-CUDA devices ([#12737](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12737))
* prevent extra network buttons being obscured by description for very small card sizes ([#12745](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12745))
* fix error that causes some extra networks to be disabled if both <lora:> and <lyco:> are present in the prompt
* fix defaults settings page breaking when any of main UI tabs are hidden
* fix incorrect save/display of new values in Defaults page in settings
* fix for Reload UI function: if you reload UI on one tab, other opened tabs will no longer stop working
* fix an error that prevents VAE being reloaded after an option change if a VAE near the checkpoint exists ([#12797](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12737))
* don't show hidden samplers in dropdown for XYZ script ([#12780](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12737))
* fix style editing dialog breaking if it's opened in both img2img and txt2img tabs
* fix a bug allowing users to bypass gradio and API authentication (reported by vysecurity)
* fix notification not playing when built-in webui tab is inactive ([#12834](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12834))
* honor `--skip-install` for extension installers ([#12832](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12832))
* don't print blank stdout in extension installers ([#12833](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12832), [#12855](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12855))
* do not change quicksettings dropdown option when value returned is `None` ([#12854](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/12854))
* get progressbar to display correctly in extensions tab
## 1.5.2
### Bug Fixes:
* fix memory leak when generation fails
* update doggettx cross attention optimization to not use an unreasonable amount of memory in some edge cases -- suggestion by MorkTheOrk
## 1.5.1
### Minor:
* support parsing text encoder blocks in some new LoRAs
* delete scale checker script due to user demand
### Extensions and API:
* add postprocess_batch_list script callback
### Bug Fixes:
* fix TI training for SD1
* fix reload altclip model error
* prepend the pythonpath instead of overriding it
* fix typo in SD_WEBUI_RESTARTING
* if txt2img/img2img raises an exception, finally call state.end()
* fix composable diffusion weight parsing
* restyle Startup profile for black users
* fix webui not launching with --nowebui
* catch exception for non git extensions
* fix some options missing from /sdapi/v1/options
* fix for extension update status always saying "unknown"
* fix display of extra network cards that have `<>` in the name
* update lora extension to work with python 3.8
## 1.5.0
### Features:
* SD XL support
* user metadata system for custom networks
* extended Lora metadata editor: set activation text, default weight, view tags, training info
* Lora extension rework to include other types of networks (all that were previously handled by LyCORIS extension)
* show github stars for extensions
* img2img batch mode can read extra stuff from png info
* img2img batch works with subdirectories
* hotkeys to move prompt elements: alt+left/right
* restyle time taken/VRAM display
* add textual inversion hashes to infotext
* optimization: cache git extension repo information
* move generate button next to the generated picture for mobile clients
* hide cards for networks of incompatible Stable Diffusion version in Lora extra networks interface
* skip installing packages with pip if they all are already installed - startup speedup of about 2 seconds
### Minor:
* checkbox to check/uncheck all extensions in the Installed tab
* add gradio user to infotext and to filename patterns
* allow gif for extra network previews
* add options to change colors in grid
* use natural sort for items in extra networks
* Mac: use empty_cache() from torch 2 to clear VRAM
* added automatic support for installing the right libraries for Navi3 (AMD)
* add option SWIN_torch_compile to accelerate SwinIR upscale
* suppress printing TI embedding info at start to console by default
* speedup extra networks listing
* added `[none]` filename token.
* removed thumbs extra networks view mode (use settings tab to change width/height/scale to get thumbs)
* add always_discard_next_to_last_sigma option to XYZ plot
* automatically switch to 32-bit float VAE if the generated picture has NaNs without the need for `--no-half-vae` commandline flag.
### Extensions and API:
* api endpoints: /sdapi/v1/server-kill, /sdapi/v1/server-restart, /sdapi/v1/server-stop
* allow Script to have custom metaclass
* add model exists status check /sdapi/v1/options
* rename --add-stop-route to --api-server-stop
* add `before_hr` script callback
* add callback `after_extra_networks_activate`
* disable rich exception output in console for API by default, use WEBUI_RICH_EXCEPTIONS env var to enable
* return http 404 when thumb file not found
* allow replacing extensions index with environment variable
### Bug Fixes:
* fix for catch errors when retrieving extension index #11290
* fix very slow loading speed of .safetensors files when reading from network drives
* API cache cleanup
* fix UnicodeEncodeError when writing to file CLIP Interrogator batch mode
* fix warning of 'has_mps' deprecated from PyTorch
* fix problem with extra network saving images as previews losing generation info
* fix throwing exception when trying to resize image with I;16 mode
* fix for #11534: canvas zoom and pan extension hijacking shortcut keys
* fixed launch script to be runnable from any directory
* don't add "Seed Resize: -1x-1" to API image metadata
* correctly remove end parenthesis with ctrl+up/down
* fixing --subpath on newer gradio version
* fix: check fill size none zero when resize (fixes #11425)
* use submit and blur for quick settings textbox
* save img2img batch with images.save_image()
* prevent running preload.py for disabled extensions
* fix: previously, model name was added together with directory name to infotext and to [model_name] filename pattern; directory name is now not included
## 1.4.1
### Bug Fixes:
* add queue lock for refresh-checkpoints
## 1.4.0
### Features:
* zoom controls for inpainting
* run basic torch calculation at startup in parallel to reduce the performance impact of first generation
* option to pad prompt/neg prompt to be same length
* remove taming_transformers dependency
* custom k-diffusion scheduler settings
* add an option to show selected settings in main txt2img/img2img UI
* sysinfo tab in settings
* infer styles from prompts when pasting params into the UI
* an option to control the behavior of the above
### Minor:
* bump Gradio to 3.32.0
* bump xformers to 0.0.20
* Add option to disable token counters
* tooltip fixes & optimizations
* make it possible to configure filename for the zip download
*`[vae_filename]` pattern for filenames
* Revert discarding penultimate sigma for DPM-Solver++(2M) SDE
* change UI reorder setting to multiselect
* read version info form CHANGELOG.md if git version info is not available
* link footer API to Wiki when API is not active
* persistent conds cache (opt-in optimization)
### Extensions:
* After installing extensions, webui properly restarts the process rather than reloads the UI
* Added VAE listing to web API. Via: /sdapi/v1/sd-vae
* custom unet support
* Add onAfterUiUpdate callback
* refactor EmbeddingDatabase.register_embedding() to allow unregistering
* add before_process callback for scripts
* add ability for alwayson scripts to specify section and let user reorder those sections
### Bug Fixes:
* Fix dragging text to prompt
* fix incorrect quoting for infotext values with colon in them
* fix "hires. fix" prompt sharing same labels with txt2img_prompt
* Fix s_min_uncond default type int
* Fix for #10643 (Inpainting mask sometimes not working)
* fix bad styling for thumbs view in extra networks #10639
* fix for empty list of optimizations #10605
* small fixes to prepare_tcmalloc for Debian/Ubuntu compatibility
* fix --ui-debug-mode exit
* patch GitPython to not use leaky persistent processes
* fix duplicate Cross attention optimization after UI reload
* torch.cuda.is_available() check for SdOptimizationXformers
* fix hires fix using wrong conds in second pass if using Loras.
* handle exception when parsing generation parameters from png info
* fix upcast attention dtype error
* forcing Torch Version to 1.13.1 for RX 5000 series GPUs
* split mask blur into X and Y components, patch Outpainting MK2 accordingly
* don't die when a LoRA is a broken symlink
* allow activation of Generate Forever during generation
## 1.3.2
### Bug Fixes:
* fix files served out of tmp directory even if they are saved to disk
* fix postprocessing overwriting parameters
## 1.3.1
### Features:
* revert default cross attention optimization to Doggettx
### Bug Fixes:
* fix bug: LoRA don't apply on dropdown list sd_lora
* fix png info always added even if setting is not enabled
* fix some fields not applying in xyz plot
* fix "hires. fix" prompt sharing same labels with txt2img_prompt
* fix lora hashes not being added properly to infotex if there is only one lora
* fix --use-cpu failing to work properly at startup
* make --disable-opt-split-attention command line option work again
## 1.3.0
### Features:
* add UI to edit defaults
* token merging (via dbolya/tomesd)
* settings tab rework: add a lot of additional explanations and links
* load extensions' Git metadata in parallel to loading the main program to save a ton of time during startup
* update extensions table: show branch, show date in separate column, and show version from tags if available
* TAESD - another option for cheap live previews
* allow choosing sampler and prompts for second pass of hires fix - hidden by default, enabled in settings
* calculate hashes for Lora
* add lora hashes to infotext
* when pasting infotext, use infotext's lora hashes to find local loras for `<lora:xxx:1>` entries whose hashes match loras the user has
* select cross attention optimization from UI
### Minor:
* bump Gradio to 3.31.0
* bump PyTorch to 2.0.1 for macOS and Linux AMD
* allow setting defaults for elements in extensions' tabs
* allow selecting file type for live previews
* show "Loading..." for extra networks when displaying for the first time
* suppress ENSD infotext for samplers that don't use it
* clientside optimizations
* add options to show/hide hidden files and dirs in extra networks, and to not list models/files in hidden directories
* allow whitespace in styles.csv
* add option to reorder tabs
* move some functionality (swap resolution and set seed to -1) to client
* option to specify editor height for img2img
* button to copy image resolution into img2img width/height sliders
* switch from pyngrok to ngrok-py
* lazy-load images in extra networks UI
* set "Navigate image viewer with gamepad" option to false by default, by request
* change upscalers to download models into user-specified directory (from commandline args) rather than the default models/<...>
* allow hiding buttons in ui-config.json
### Extensions:
* add /sdapi/v1/script-info api
* use Ruff to lint Python code
* use ESlint to lint Javascript code
* add/modify CFG callbacks for Self-Attention Guidance extension
* add command and endpoint for graceful server stopping
* add some locals (prompts/seeds/etc) from processing function into the Processing class as fields
* rework quoting for infotext items that have commas in them to use JSON (should be backwards compatible except for cases where it didn't work previously)
* add /sdapi/v1/refresh-loras api checkpoint post request
* tests overhaul
### Bug Fixes:
* fix an issue preventing the program from starting if the user specifies a bad Gradio theme
* fix broken prompts from file script
* fix symlink scanning for extra networks
* fix --data-dir ignored when launching via webui-user.bat COMMANDLINE_ARGS
* allow web UI to be ran fully offline
* fix inability to run with --freeze-settings
* fix inability to merge checkpoint without adding metadata
* fix extra networks' save preview image not adding infotext for jpeg/webm
* remove blinking effect from text in hires fix and scale resolution preview
* make links to `http://<...>.git` extensions work in the extension tab
* fix bug with webui hanging at startup due to hanging git process
## 1.2.1
### Features:
* add an option to always refer to LoRA by filenames
### Bug Fixes:
* never refer to LoRA by an alias if multiple LoRAs have same alias or the alias is called none
* fix upscalers disappearing after the user reloads UI
* allow bf16 in safe unpickler (resolves problems with loading some LoRAs)
* allow web UI to be ran fully offline
* fix localizations not working
* fix error for LoRAs: `'LatentDiffusion' object has no attribute 'lora_layer_mapping'`
## 1.2.0
### Features:
* do not wait for Stable Diffusion model to load at startup
* add filename patterns: `[denoising]`
* directory hiding for extra networks: dirs starting with `.` will hide their cards on extra network tabs unless specifically searched for
* LoRA: for the `<...>` text in prompt, use name of LoRA that is in the metadata of the file, if present, instead of filename (both can be used to activate LoRA)
* LoRA: read infotext params from kohya-ss's extension parameters if they are present and if his extension is not active
* LoRA: fix some LoRAs not working (ones that have 3x3 convolution layer)
* LoRA: add an option to use old method of applying LoRAs (producing same results as with kohya-ss)
* add version to infotext, footer and console output when starting
* add links to wiki for filename pattern settings
* add extended info for quicksettings setting and use multiselect input instead of a text field
### Minor:
* bump Gradio to 3.29.0
* bump PyTorch to 2.0.1
*`--subpath` option for gradio for use with reverse proxy
* Linux/macOS: use existing virtualenv if already active (the VIRTUAL_ENV environment variable)
* do not apply localizations if there are none (possible frontend optimization)
* add extra `None` option for VAE in XYZ plot
* print error to console when batch processing in img2img fails
* create HTML for extra network pages only on demand
* allow directories starting with `.` to still list their models for LoRA, checkpoints, etc
* put infotext options into their own category in settings tab
* do not show licenses page when user selects Show all pages in settings
### Extensions:
* tooltip localization support
* add API method to get LoRA models with prompt
### Bug Fixes:
* re-add `/docs` endpoint
* fix gamepad navigation
* make the lightbox fullscreen image function properly
* fix squished thumbnails in extras tab
* keep "search" filter for extra networks when user refreshes the tab (previously it showed everything after you refreshed)
* fix webui showing the same image if you configure the generation to always save results into same file
* fix bug with upscalers not working properly
* fix MPS on PyTorch 2.0.1, Intel Macs
* make it so that custom context menu from contextMenu.js only disappears after user's click, ignoring non-user click events
* prevent Reload UI button/link from reloading the page when it's not yet ready
* fix prompts from file script failing to read contents from a drag/drop file
## 1.1.1
### Bug Fixes:
* fix an error that prevents running webui on PyTorch<2.0 without --disable-safe-unpickle
* add support for saving init images in img2img, and record their hashes in infotext for reproducibility
* automatically select current word when adjusting weight with ctrl+up/down
* add dropdowns for X/Y/Z plot
* add setting: Stable Diffusion/Random number generator source: makes it possible to make images generated from a given manual seed consistent across different GPUs
* support Gradio's theme API
* use TCMalloc on Linux by default; possible fix for memory leaks
* add optimization option to remove negative conditioning at low sigma values #9177
* embed model merge metadata in .safetensors file
* extension settings backup/restore feature #9169
* add "resize by" and "resize to" tabs to img2img
* add option "keep original size" to textual inversion images preprocess
* image viewer scrolling via analog stick
* button to restore the progress from session lost / tab reload
### Minor:
* bump Gradio to 3.28.1
* change "scale to" to sliders in Extras tab
* add labels to tool buttons to make it possible to hide them
* add tiled inference support for ScuNET
* add branch support for extension installation
* change Linux installation script to install into current directory rather than `/home/username`
* sort textual inversion embeddings by name (case-insensitive)
* allow styles.csv to be symlinked or mounted in docker
* remove the "do not add watermark to images" option
* make selected tab configurable with UI config
* make the extra networks UI fixed height and scrollable
* add `disable_tls_verify` arg for use with self-signed certs
### Extensions:
* add reload callback
* add `is_hr_pass` field for processing
### Bug Fixes:
* fix broken batch image processing on 'Extras/Batch Process' tab
* add "None" option to extra networks dropdowns
* fix FileExistsError for CLIP Interrogator
* fix /sdapi/v1/txt2img endpoint not working on Linux #9319
* fix disappearing live previews and progressbar during slow tasks
* fix fullscreen image view not working properly in some cases
* prevent alwayson_scripts args param resizing script_arg list when they are inserted in it
* fix prompt schedule for second order samplers
* fix image mask/composite for weird resolutions #9628
* use correct images for previews when using AND (see #9491)
* one broken image in img2img batch won't stop all processing
* fix image orientation bug in train/preprocess
* fix Ngrok recreating tunnels every reload
* fix `--realesrgan-models-path` and `--ldsr-models-path` not working
* fix `--skip-install` not working
* use SAMPLE file format in Outpainting Mk2 & Poorman
* do not fail all LoRAs if some have failed to load when making a picture
A browser interface based on Gradio library for Stable Diffusion.
A web interface for Stable Diffusion, implemented using Gradio library.
@@ -13,11 +13,11 @@ A browser interface based on Gradio library for Stable Diffusion.
- Prompt Matrix
- Stable Diffusion Upscale
- Attention, specify parts of text that the model should pay more attention to
- a man in a ((tuxedo)) - will pay more attention to tuxedo
- a man in a (tuxedo:1.21) - alternative syntax
- select text and press ctrl+up or ctrl+down to automatically adjust attention to selected text (code contributed by anonymous user)
- a man in a `((tuxedo))` - will pay more attention to tuxedo
- a man in a `(tuxedo:1.21)` - alternative syntax
- select text and press `Ctrl+Up` or `Ctrl+Down` (or `Command+Up` or `Command+Down` if you're on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user)
- Loopback, run img2img processing multiple times
- X/Y plot, a way to draw a 2 dimensional plot of images with different parameters
- X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters
- Textual Inversion
- have as many embeddings as you want and use any names you like for them
- use multiple embeddings with different numbers of vectors per token
@@ -28,7 +28,7 @@ A browser interface based on Gradio library for Stable Diffusion.
- CodeFormer, face restoration tool as an alternative to GFPGAN
- RealESRGAN, neural network upscaler
- ESRGAN, neural network upscaler with a lot of third party models
- SwinIR and Swin2SR([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
- SwinIR and Swin2SR([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
- LDSR, Latent diffusion super resolution upscaling
- Resizing aspect ratio options
- Sampling method selection
@@ -46,7 +46,7 @@ A browser interface based on Gradio library for Stable Diffusion.
- drag and drop an image/text-parameters to promptbox
- Read Generation Parameters Button, loads parameters in promptbox to UI
- Settings page
- Running arbitrary python code from UI (must run with --allow-code to enable)
- Running arbitrary python code from UI (must run with `--allow-code` to enable)
- Mouseover hints for most UI elements
- Possible to change defaults/mix/max/step values for UI elements via text config
- Tiling support, a checkbox to create images that can be tiled like textures
@@ -69,7 +69,7 @@ A browser interface based on Gradio library for Stable Diffusion.
- also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
- DeepDanbooru integration, creates danbooru style tags for anime prompts
- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)
- [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
- Generate forever option
- Training tab
@@ -78,50 +78,62 @@ A browser interface based on Gradio library for Stable Diffusion.
- Clip skip
- Hypernetworks
- Loras (same as Hypernetworks but more pretty)
- A sparate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt.
- A separate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt
- Can select to load a different VAE from settings screen
- Estimated completion time in progress bar
- API
- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML.
- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
- [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
- Now without any bad letters!
- Load checkpoints in safetensors format
- Eased resolution restriction: generated image's domension must be a multiple of 8 rather than 64
- Eased resolution restriction: generated image's dimensions must be a multiple of 8 rather than 64
- Now with a license!
- Reorder elements in the UI from settings screen
-
- [Segmind Stable Diffusion](https://huggingface.co/segmind/SSD-1B) support
## Installation and Running
Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for:
- [Intel CPUs, Intel GPUs (both integrated and discrete)](https://github.com/openvinotoolkit/stable-diffusion-webui/wiki/Installation-on-Intel-Silicon) (external wiki page)
- [Ascend NPUs](https://github.com/wangshuai09/stable-diffusion-webui/wiki/Install-and-run-on-Ascend-NPUs) (external wiki page)
Alternatively, use online services (like Google Colab):
- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
### Installation on Windows 10/11 with NVidia-GPUs using release package
1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract its contents.
2. Run `update.bat`.
3. Run `run.bat`.
> For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
### Automatic Installation on Windows
1. Install [Python 3.10.6](https://www.python.org/downloads/windows/), checking "Add Python to PATH"
1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
4.Place stable diffusion checkpoint (`model.ckpt`) in the `models/Stable-diffusion` directory (see [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) for where to get it).
5. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
4.Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
@@ -130,18 +142,22 @@ Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-w
Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
## Documentation
The documentation was moved from this README over to the project's [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
## Credits
Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
- DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
# Vendored from https://raw.githubusercontent.com/CompVis/taming-transformers/24268930bf1dce879235a7fddd0b2355b84d7ea6/taming/modules/vqvae/quantize.py,
# where the license is as follows:
#
# Copyright (c) 2020 Patrick Esser and Robin Rombach and Björn Ommer
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
raiseAssertionError(f"Could not find a module type (out of {', '.join([x.__class__.__name__forxinmodule_types])}) that would accept those keys: {', '.join(weights.w)}")
parser.add_argument("--lora-dir",type=str,help="Path to directory with Lora networks.",default=os.path.join(paths.models_path,'Lora'))
parser.add_argument("--lora-dir",type=normalized_filepath,help="Path to directory with Lora networks.",default=os.path.join(paths.models_path,'Lora'))
parser.add_argument("--lyco-dir-backcompat",type=normalized_filepath,help="Path to directory with LyCORIS networks (for backawards compatibility; can also use --lyco-dir).",default=os.path.join(paths.models_path,'LyCORIS'))
"sd_lora":shared.OptionInfo("None","Add network to prompt",gr.Dropdown,lambda:{"choices":["None",*networks.available_networks]},refresh=networks.list_available_networks),
"lora_preferred_name":shared.OptionInfo("Alias from file","When adding to prompt, refer to Lora by",gr.Radio,{"choices":["Alias from file","Filename"]}),
"lora_add_hashes_to_infotext":shared.OptionInfo(True,"Add Lora hashes to infotext"),
"lora_show_all":shared.OptionInfo(False,"Always show all networks on the Lora page").info("otherwise, those detected as for incompatible version of Stable Diffusion will be hidden"),
"lora_hide_unknown_for_versions":shared.OptionInfo([],"Hide networks of unknown versions for model versions",gr.CheckboxGroup,{"choices":["SD1","SD2","SDXL"]}),
"lora_in_memory_limit":shared.OptionInfo(0,"Number of Lora networks to keep cached in memory",gr.Number,{"precision":0}),
"lora_not_found_warning_console":shared.OptionInfo(False,"Lora not found warning in console"),
"lora_not_found_gradio_warning":shared.OptionInfo(False,"Lora not found warning popup in webui"),
"lora_functional":shared.OptionInfo(False,"Lora/Networks: use old method that takes longer when you have multiple Loras active and produces same results as kohya-ss/sd-webui-additional-networks extension"),
shared.opts.add_option("SCUNET_tile",shared.OptionInfo(256,"Tile size for SCUNET upscalers.",gr.Slider,{"minimum":0,"maximum":512,"step":16},section=('upscaling',"Upscaling")).info("0 = no tiling"))
shared.opts.add_option("SCUNET_tile_overlap",shared.OptionInfo(8,"Tile overlap for SCUNET upscalers.",gr.Slider,{"minimum":0,"maximum":64,"step":1},section=('upscaling',"Upscaling")).info("Low values = visible seam"))
shared.opts.add_option("SWIN_tile",shared.OptionInfo(192,"Tile size for all SwinIR.",gr.Slider,{"minimum":16,"maximum":512,"step":16},section=('upscaling',"Upscaling")))
shared.opts.add_option("SWIN_tile_overlap",shared.OptionInfo(8,"Tile overlap, in pixels for SwinIR. Low values = visible seam.",gr.Slider,{"minimum":0,"maximum":48,"step":1},section=('upscaling',"Upscaling")))
shared.opts.add_option("SWIN_torch_compile",shared.OptionInfo(False,"Use torch.compile to accelerate SwinIR.",gr.Checkbox,{"interactive":True},section=('upscaling',"Upscaling")).info("Takes longer on first run"))
// Add information and content elements to the tooltip element
tooltip.appendChild(info);
tooltip.appendChild(tooltipContent);
// Add a hint element to the target element
toolTipElement.appendChild(tooltip);
}
//Show tool tip if setting enable
if(hotkeysConfig.canvas_show_tooltip){
createTooltip();
}
// In the course of research, it was found that the tag img is very harmful when zooming and creates white canvases. This hack allows you to almost never think about this problem, it has no effect on webui.
window.applyZoomAndPan=applyZoomAndPan;// Only 1 elements, argument elementID, for example applyZoomAndPan("#txt2img_controlnet_ControlNet_input_image")
window.applyZoomAndPanIntegration=applyZoomAndPanIntegration;// for any extension
/*
The function `applyZoomAndPanIntegration` takes two arguments:
1. `id`: A string identifier for the element to which zoom and pan functionality will be applied on click.
If the `id` value is "none", the functionality will be applied to all elements specified in the second argument without a click event.
2. `elementIDs`: An array of string identifiers for elements. Zoom and pan functionality will be applied to each of these elements on click of the element specified by the first argument.
If "none" is specified in the first argument, the functionality will be applied to each of these elements without a click event.
In this example, zoom and pan functionality will be applied to the element with the identifier "txt2img_controlnet_ControlNet_input_image" upon clicking the element with the identifier "txt2img_controlnet".
*/
// More examples
// Add integration with ControlNet txt2img One TAB
"canvas_hotkey_zoom":shared.OptionInfo("Alt","Zoom canvas",gr.Radio,{"choices":["Shift","Ctrl","Alt"]}).info("If you choose 'Shift' you cannot scroll horizontally, 'Alt' can cause a little trouble in firefox"),
"canvas_hotkey_adjust":shared.OptionInfo("Ctrl","Adjust brush size",gr.Radio,{"choices":["Shift","Ctrl","Alt"]}).info("If you choose 'Shift' you cannot scroll horizontally, 'Alt' can cause a little trouble in firefox"),
"canvas_hotkey_shrink_brush":shared.OptionInfo("Q","Shrink the brush size"),
"canvas_hotkey_grow_brush":shared.OptionInfo("W","Enlarge the brush size"),
"canvas_hotkey_move":shared.OptionInfo("F","Moving the canvas").info("To work correctly in firefox, turn off 'Automatically search the page text when typing' in the browser settings"),
"canvas_hotkey_fullscreen":shared.OptionInfo("S","Fullscreen Mode, maximizes the picture so that it fits into the screen and stretches it to its full width "),
"canvas_hotkey_reset":shared.OptionInfo("R","Reset zoom and canvas position"),
"canvas_hotkey_overlap":shared.OptionInfo("O","Toggle overlap").info("Technical button, needed for testing"),
"canvas_show_tooltip":shared.OptionInfo(True,"Enable tooltip on the canvas"),
"canvas_auto_expand":shared.OptionInfo(True,"Automatically expands an image that does not fit completely in the canvas area, similar to manually pressing the S and R buttons"),
"canvas_blur_prompt":shared.OptionInfo(False,"Take the focus off the prompt when working with a canvas"),
"canvas_disabled_functions":shared.OptionInfo(["Overlap"],"Disable function that you don't use",gr.CheckboxGroup,{"choices":["Zoom","Adjust brush size","Hotkey enlarge brush","Hotkey shrink brush","Moving canvas","Fullscreen","Reset Zoom","Overlap"]}),
shared.options_templates.update(shared.options_section(('settings_in_ui',"Settings in UI","ui"),{
"settings_in_ui":shared.OptionHTML("""
This page allows you to add some settings to the main interface of txt2img and img2img tabs.
"""),
"extra_options_txt2img":shared.OptionInfo([],"Settings for txt2img",ui_components.DropdownMulti,lambda:{"choices":list(shared.opts.data_labels.keys())}).js("info","settingsHintsShowQuicksettings").info("setting entries that also appear in txt2img interfaces").needs_reload_ui(),
"extra_options_img2img":shared.OptionInfo([],"Settings for img2img",ui_components.DropdownMulti,lambda:{"choices":list(shared.opts.data_labels.keys())}).js("info","settingsHintsShowQuicksettings").info("setting entries that also appear in img2img interfaces").needs_reload_ui(),
"extra_options_cols":shared.OptionInfo(1,"Number of columns for added settings",gr.Slider,{"step":1,"minimum":1,"maximum":20}).info("displayed amount will depend on the actual browser window width").needs_reload_ui(),
"extra_options_accordion":shared.OptionInfo(False,"Place added settings into an accordion").needs_reload_ui()
"hypertile_enable_unet":shared.OptionInfo(False,"Enable Hypertile U-Net",infotext="Hypertile U-Net").info("enables hypertile for all modes, including hires fix second pass; noticeable change in details of the generated picture"),
"hypertile_enable_unet_secondpass":shared.OptionInfo(False,"Enable Hypertile U-Net for hires fix second pass",infotext="Hypertile U-Net second pass").info("enables hypertile just for hires fix second pass - regardless of whether the above setting is enabled"),
"hypertile_max_depth_unet":shared.OptionInfo(3,"Hypertile U-Net max depth",gr.Slider,{"minimum":0,"maximum":3,"step":1},infotext="Hypertile U-Net max depth").info("larger = more neural network layers affected; minor effect on performance"),
"hypertile_max_tile_unet":shared.OptionInfo(256,"Hypertile U-Net max tile size",gr.Slider,{"minimum":0,"maximum":512,"step":16},infotext="Hypertile U-Net max tile size").info("larger = worse performance"),
"hypertile_enable_vae":shared.OptionInfo(False,"Enable Hypertile VAE",infotext="Hypertile VAE").info("minimal change in the generated picture"),
"hypertile_max_depth_vae":shared.OptionInfo(3,"Hypertile VAE max depth",gr.Slider,{"minimum":0,"maximum":3,"step":1},infotext="Hypertile VAE max depth"),
"hypertile_max_tile_vae":shared.OptionInfo(128,"Hypertile VAE max tile size",gr.Slider,{"minimum":0,"maximum":512,"step":16},infotext="Hypertile VAE max tile size"),
assertvalue.lower()in["true","false"],f"Value {value} for {value_name} must be either true or false"
defapply_bool(p,x,xs):
validate(value_name,x)
value_boolean=x.lower()=="true"
opts.data[value_name]=value_boolean
returnapply_bool
defadd_axis_options():
extra_axis_options=[
xyz_grid.AxisOption("[Hypertile] Unet First pass Enabled",str,bool_applier("hypertile_enable_unet"),choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Second pass Enabled",str,bool_applier("hypertile_enable_unet_secondpass"),choices=xyz_grid.boolean_choice(reverse=True)),
xyz_grid.AxisOption("[Hypertile] Unet Max Depth",int,int_applier("hypertile_max_depth_unet",0,3),choices=lambda:[str(x)forxinrange(4)]),
xyz_grid.AxisOption("[Hypertile] Unet Max Tile Size",int,int_applier("hypertile_max_tile_unet",0,512)),
withui_components.InputAccordion(False,label="Auto focal point crop")asenable:
face_weight=gr.Slider(label='Focal point face weight',value=0.9,minimum=0.0,maximum=1.0,step=0.05,elem_id="postprocess_focal_crop_face_weight")
entropy_weight=gr.Slider(label='Focal point entropy weight',value=0.15,minimum=0.0,maximum=1.0,step=0.05,elem_id="postprocess_focal_crop_entropy_weight")
edges_weight=gr.Slider(label='Focal point edges weight',value=0.5,minimum=0.0,maximum=1.0,step=0.05,elem_id="postprocess_focal_crop_edges_weight")
<small>The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package that Alex Birch optimized for 3D tensors. This license is updated to reflect that.</small>
<pre>
MIT License
Copyright (c) 2023 Alex Birch
Copyright (c) 2023 Amin Rezaei
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
<small>The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package that Alex Birch optimized for 3D tensors. This license is updated to reflect that.</small>
<small>The MPS workaround for nn.Linear on macOS 13.2.X is based on the MPS workaround for nn.Linear created by danieldk for Curated transformers</small>
<pre>
The MIT License (MIT)
Copyright (C) 2021 ExplosionAI GmbH
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
"Sampling steps":"How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results",
"Sampling method":"Which algorithm to use to produce the image",
"GFPGAN":"Restore low quality faces using GFPGAN neural network",
"Euler a":"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps higher than 30-40 does not help",
"DDIM":"Denoising Diffusion Implicit Models - best at inpainting",
"DPM adaptive":"Ignores step count - uses a number of steps determined by the CFG and resolution",
"GFPGAN":"Restore low quality faces using GFPGAN neural network",
"Euler a":"Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps higher than 30-40 does not help",
"DDIM":"Denoising Diffusion Implicit Models - best at inpainting",
"UniPC":"Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models",
"DPM adaptive":"Ignores step count - uses a number of steps determined by the CFG and resolution",
"Batch count":"How many batches of images to create",
"Batch size":"How many image to create in a single batch",
"\u{1F4D0}":"Auto detect size from img2img",
"Batch count":"How many batches of images to create (has no impact on generation performance or VRAM usage)",
"Batch size":"How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)",
"CFG Scale":"Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
"Seed":"A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
"\u{1f3b2}\ufe0f":"Set seed to -1, which will cause a new random number to be used every time",
"\u267b\ufe0f":"Reuse seed from last generation, mostly useful if it was randomed",
"\u267b\ufe0f":"Reuse seed from last generation, mostly useful if it was randomized",
"\u2199\ufe0f":"Read generation parameters from prompt or last generation if prompt is empty into user interface.",
"\u{1f4c2}":"Open images output directory",
"\u{1f4be}":"Save style",
"\U0001F5D1":"Clear prompt",
"\u{1f5d1}\ufe0f":"Clear prompt",
"\u{1f4cb}":"Apply selected styles to current prompt",
"\u{1f4d2}":"Paste available values into the field",
"\u{1f3b4}":"Show extra networks",
"\u{1f3b4}":"Show/hide extra networks",
"\u{1f300}":"Restore progress",
"Inpaint a part of image":"Draw a mask over an image, and the script will regenerate the masked area with content according to prompt",
"SD upscale":"Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back",
@@ -39,7 +41,6 @@ titles = {
"Inpaint at full resolution":"Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
"Denoising strength":"Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
"Denoising strength change factor":"In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
"Skip":"Stop processing current image and continue processing.",
"Interrupt":"Stop processing images and return any results accumulated so far.",
@@ -50,7 +51,7 @@ titles = {
"None":"Do not do anything special",
"Prompt matrix":"Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)",
"X/Y plot":"Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows",
"X/Y/Z plot":"Create grid(s) where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows",
"Custom code":"Run Python code. Advanced user only. Must run program with --allow-code for this to work",
"Prompt S/R":"Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others",
@@ -66,12 +67,14 @@ titles = {
"Interrogate":"Reconstruct prompt from existing image and put it into the prompt field.",
"Images filename pattern":"Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
"Directory name pattern":"Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
"Images filename pattern":"Use tags like [seed] and [date] to define how filenames for images are chosen. Leave empty for default.",
"Directory name pattern":"Use tags like [seed] and [date] to define how subdirectories for images and grids are chosen. Leave empty for default.",
"Max prompt words":"Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",
"Loopback":"Process an image, use it as an input, repeat.",
"Loops":"How many times to repeat processing an image and using it as input for the next iteration",
"Loopback":"Performs img2img processing multiple times. Output images are used as input for the next loop.",
"Loops":"How many times to process an image. Each output is used as the input of the next loop. If set to 1, behavior will be as if this script were not used.",
"Final denoising strength":"The denoising strength for the final loop of each image in the batch.",
"Denoising strength curve":"The denoising curve controls the rate of denoising strength change each loop. Aggressive: Most of the change will happen towards the start of the loops. Linear: Change will be constant through all loops. Lazy: Most of the change will happen towards the end of the loops.",
"Style 1":"Style to apply; styles have components for both positive and negative prompts and apply to both",
"Style 2":"Style to apply; styles have components for both positive and negative prompts and apply to both",
@@ -81,10 +84,7 @@ titles = {
"Checkpoint name":"Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.",
"Inpainting conditioning mask strength":"Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.",
"vram":"Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).",
"Eta noise seed delta":"If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
"Do not add watermark to images":"If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
"Filename word regex":"This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
"Filename join string":"This string will be used to join split words into a single line if the option above is enabled.",
@@ -95,7 +95,7 @@ titles = {
"Add difference":"Result = A + (B - C) * M",
"No interpolation":"Result = A",
"Initialization text":"If the number of tokens is more than the number of vectors, some may be skipped.\nLeave the textbox empty to start with zeroed out vectors",
"Initialization text":"If the number of tokens is more than the number of vectors, some may be skipped.\nLeave the textbox empty to start with zeroed out vectors",
"Learning rate":"How fast should training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
"Clip skip":"Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc.",
@@ -108,39 +108,96 @@ titles = {
"Upscale by":"Adjusts the size of the image by multiplying the original width and height by the selected value. Ignored if either Resize width to or Resize height to are non-zero.",
"Resize width to":"Resizes image to this width. If 0, width is inferred from either of two nearby sliders.",
"Resize height to":"Resizes image to this height. If 0, height is inferred from either of two nearby sliders.",
"Multiplier for extra networks":"When adding extra network such as Hypernetwork or Lora to prompt, use this multiplier for it.",
"Discard weights with matching name":"Regular expression; if weights's name matches it, the weights is not written to the resulting checkpoint. Use ^model_ema to discard EMA weights.",
"Extra networks tab order":"Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order lsited."
"Extra networks tab order":"Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order listed.",
"Negative Guidance minimum sigma":"Skip negative prompt for steps where image is already mostly denoised; the higher this value, the more skips there will be; provides increased performance in exchange for minor quality reduction."
// As it is currently, txt2img and img2img send back the previous output args (txt2img_gallery, generation_info, html_info) whenever you generate a new image.
// This can lead to uploading a huge gallery of previously generated images, which leads to an unnecessary delay between submitting and beginning to generate.
// I don't know why gradio is sending outputs along with inputs, but we can prevent sending the image gallery here, which seems to be an issue for some.
// If gradio at some point stops sending outputs, this may break something
run(f'"{git}" -C "{dir}" fetch',f"Fetching updates for {name}...",f"Couldn't fetch {name}")
run(f'"{git}" -C "{dir}" checkout {commithash}',f"Checking out commit for {name} with hash: {commithash}...",f"Couldn't checkout commit {commithash} for {name}")
return
run(f'"{git}" clone "{url}""{dir}"',f"Cloning {name} into {dir}...",f"Couldn't clone {name}")
run(f'"{python}" -m {torch_command}',"Installing torch and torchvision","Couldn't install torch",live=True)
ifnotskip_torch_cuda_test:
run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")
print("Installation of xformers is not supported in this version of Python.")
print("You can also check this and build manually: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers#building-xformers-on-windows-by-duckness")
print(f"Stopping Web UI process with id {proc.pid}")
proc.kill()
returnexitcode
defstart():
print(f"Launching {'API server'if'--nowebui'insys.argvelse'Web UI'} with arguments: {''.join(sys.argv[1:])}")
importwebui
if'--nowebui'insys.argv:
webui.api_only()
else:
webui.webui()
start()
if__name__=="__main__":
prepare_environment()
start()
main()
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AUTOMATIC1111
