dev release notes

This commit is contained in:
Vladimir Mandic
2024-05-11 14:51:33 -04:00
parent a0cf708b33
commit 7c79b5bab3
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Main ToDo list can be found at [GitHub projects](https://github.com/users/vladmandic/projects)
## Candidates for next release
## Pending
Requires `diffusers-0.28.0.dev0`:
- PixArt-Σ
- IP adapter masking
- InstantStyle
- Sampler timesteps
## Dev Release Notes
New [SD.Next](https://github.com/vladmandic/automatic) release has been baking in `dev` for a longer than usual, but changes are massive...
Startiong with the new UI - yup, this version ships with a preview of the new [ModernUI](https://github.com/BinaryQuantumSoul/sdnext-modernui)
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)
**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)
Thanks to @BinaryQuantumSoul for his hard work on this project!
[!screenshot]()
*What else?*
### New built-in features
- HiDiffusion allows generating very-high resolution images out-of-the-box using standard models
- Perturbed-Attention Guidance (PAG) enhances sample quality in addition to standard CFG scale
- IP adapter masking allows to use multiple input images for each segment of the input image
- IP adapter InstantStyle implementation
- Token Downsampling (ToDO) provides significant speedups with minimal-to-none quality loss
- Samplers optimizations that allow normal samplers to complete work in 1/3 of the steps!
Yup, even popular DPM++2M can now run in 10 steps with quality equaling 30 steps
- Better outpainting
### New models
While still waiting for *Stable Diffusion 3.0*, there have been some significant models released in the meantime:
- [PixArt-Σ](https://pixart-alpha.github.io/PixArt-sigma-project/), high end diffusion transformer model (DiT) capable of directly generating images at 4K resolution
- [SDXS](https://github.com/IDKiro/sdxs), an extremely fast 1-step generation consistency model
- [Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD), 1-step, 2-step, 4-step and 8-step optimized models
*Note*
[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
Given huge number of changes with *+3443/-3342* commits diff (at the time of fork detach) over the past year,
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!
And best place to post questions is on our [Discord](https://discord.gg/VjvR2tabEX) server which now has over 2k active members!
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)
## Future Candidates
### Models & Pipelines
@@ -21,46 +70,3 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
### Missing
- control api scripts compatibility
## Future release notes
### requires `diffusers-0.28.0.dev0`
- PixArt-Σ
- IP adapter masking
- InstantStyle
- Sampler timesteps
## Note
New release has been baking in `dev` for a longer than usual, but changes are massive...
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)
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)
**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)
Thanks to @BinaryQuantumSoul for his hard work on this project!
*What else?*
### New built-in features
- HiDiffusion allows generating very-high resolution images out-of-the-box using standard models
- Perturbed-Attention Guidance (PAG) enhances sample quality in addition to standard CFG scale
- IP adapter masking allows to use multiple input images for each segment of the input image
- IP adapter InstantStyle implementation
- Token Downsampling (ToDO) provides significant speedups with minimal-to-none quality loss
- Samplers optimizations that allow normal samplers to complete work in 1/3 of the steps!
Yup, even popular DPM++2M can now run in 10 steps with quality equaling 30 steps
- Better outpainting
### New models
While still waiting for *Stable Diffusion 3.0*, there have been some significant models released in the meantime:
- [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
- [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
- [Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD), 1-step, 2-step, 4-step and 8-step optimized models
*Note*
[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
Given huge number of changes with *+3443/-3342* commits diff (at the time of fork detach) over the past year,
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!
+1 -1
Submodule wiki updated: 1eb3aabd2c...6b939596ac