mirror of
https://github.com/vladmandic/automatic
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dev release notes
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Main ToDo list can be found at [GitHub projects](https://github.com/users/vladmandic/projects)
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## Candidates for next release
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## Pending
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Requires `diffusers-0.28.0.dev0`:
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- PixArt-Σ
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- IP adapter masking
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- InstantStyle
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- Sampler timesteps
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## Dev Release Notes
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New [SD.Next](https://github.com/vladmandic/automatic) release has been baking in `dev` for a longer than usual, but changes are massive...
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Startiong with the new UI - yup, this version ships with a preview of the new [ModernUI](https://github.com/BinaryQuantumSoul/sdnext-modernui)
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For details on how to enable and use it, see [Home](https://github.com/BinaryQuantumSoul/sdnext-modernui) and [WiKi](https://github.com/vladmandic/automatic/wiki/Themes)
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**ModernUI** is still in early development and not all features are available yet, please report [issues and feedback](https://github.com/BinaryQuantumSoul/sdnext-modernui/issues)
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Thanks to @BinaryQuantumSoul for his hard work on this project!
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[!screenshot]()
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*What else?*
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### New built-in features
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- HiDiffusion allows generating very-high resolution images out-of-the-box using standard models
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- Perturbed-Attention Guidance (PAG) enhances sample quality in addition to standard CFG scale
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- IP adapter masking allows to use multiple input images for each segment of the input image
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- IP adapter InstantStyle implementation
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- Token Downsampling (ToDO) provides significant speedups with minimal-to-none quality loss
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- Samplers optimizations that allow normal samplers to complete work in 1/3 of the steps!
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Yup, even popular DPM++2M can now run in 10 steps with quality equaling 30 steps
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- Better outpainting
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### New models
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While still waiting for *Stable Diffusion 3.0*, there have been some significant models released in the meantime:
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- [PixArt-Σ](https://pixart-alpha.github.io/PixArt-sigma-project/), high end diffusion transformer model (DiT) capable of directly generating images at 4K resolution
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- [SDXS](https://github.com/IDKiro/sdxs), an extremely fast 1-step generation consistency model
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- [Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD), 1-step, 2-step, 4-step and 8-step optimized models
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*Note*
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[SD.Next](https://github.com/vladmandic/automatic) is no longer marked as a fork of [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui/) and github project has been fully detached
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Given huge number of changes with *+3443/-3342* commits diff (at the time of fork detach) over the past year,
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a completely different backend/engine and a change of focus, it is time to give credit to original [author](https://github.com/auTOMATIC1111), and move on!
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And best place to post questions is on our [Discord](https://discord.gg/VjvR2tabEX) server which now has over 2k active members!
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For more details see: [Changelog](https://github.com/vladmandic/automatic/blob/dev/CHANGELOG.md) | [ReadMe](https://github.com/vladmandic/automatic) | [Wiki](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.gg/VjvR2tabEX)
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## Future Candidates
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### Models & Pipelines
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@@ -21,46 +70,3 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
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### Missing
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- control api scripts compatibility
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## Future release notes
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### requires `diffusers-0.28.0.dev0`
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- PixArt-Σ
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- IP adapter masking
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- InstantStyle
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- Sampler timesteps
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## Note
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New release has been baking in `dev` for a longer than usual, but changes are massive...
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First, this version of [SD.Next](https://github.com/vladmandic/automatic) ships with a preview of the new [ModernUI](https://github.com/BinaryQuantumSoul/sdnext-modernui)
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For details on how to enable and use it, see [Home](https://github.com/BinaryQuantumSoul/sdnext-modernui) and [WiKi](https://github.com/vladmandic/automatic/wiki/Themes)
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**ModernUI** is still in early development and not all features are available yet, please report [issues and feedback](https://github.com/BinaryQuantumSoul/sdnext-modernui/issues)
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Thanks to @BinaryQuantumSoul for his hard work on this project!
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*What else?*
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### New built-in features
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||||
|
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- HiDiffusion allows generating very-high resolution images out-of-the-box using standard models
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- Perturbed-Attention Guidance (PAG) enhances sample quality in addition to standard CFG scale
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- IP adapter masking allows to use multiple input images for each segment of the input image
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- IP adapter InstantStyle implementation
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- Token Downsampling (ToDO) provides significant speedups with minimal-to-none quality loss
|
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- Samplers optimizations that allow normal samplers to complete work in 1/3 of the steps!
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Yup, even popular DPM++2M can now run in 10 steps with quality equaling 30 steps
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- Better outpainting
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|
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### New models
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|
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While still waiting for *Stable Diffusion 3.0*, there have been some significant models released in the meantime:
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- [PixArt-Σ](https://pixart-alpha.github.io/PixArt-sigma-project/), high end diffusion Transformer model (DiT) with a T5 encoder/decoder capable of directly generating images at 4K resolution
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- [SDXS](https://github.com/IDKiro/sdxs), an extremely fast 1-step generation consistency model that also uses TAESD as quick VAE out-of-the-box
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- [Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD), 1-step, 2-step, 4-step and 8-step optimized models
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*Note*
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[SD.Next](https://github.com/vladmandic/automatic) is no longer marked as a fork of [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui/) and github project has been fully detached
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Given huge number of changes with *+3443/-3342* commits diff (at the time of fork detach) over the past year,
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a completely different backend/engine and a change of focus, it is time to give credit to original [author](https://github.com/auTOMATIC1111), and move on!
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+1
-1
Submodule wiki updated: 1eb3aabd2c...6b939596ac
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