| Commit message (Collapse) | Author | Age | Files | Lines |
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- 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
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Fixes xyz extra_generation_params not being saved (previously worked)
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fixed typo in prompt-bracket-checker.js which leads to js error
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into the main page
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Fix None type error for TI module
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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.
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Add PyTorch 2.0 support for macOS, fix image generation on macOS 13.2.X
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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.
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Credit to danieldk (https://github.com/explosion/curated-transformers/pull/124) for the workaround this is based on.
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--upcast-sampling support for CUDA
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fix broken image dragging
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more stylistic changes
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more stylistic changes
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fix dropdown obscured by live preview
stylistic changes
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fix broken image dragging
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more stylistic changes
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more stylistic changes
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fix dropdown obscured by live preview
stylistic changes
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Prevent bubbling the same way "replace preview" does
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Add correction file filename length limits on *nix systems
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so eg if a two-letter or empty extension is used, `.txt` would break, this `max` call protects that.
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add progressbar to unipc sampler
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