update changelog

This commit is contained in:
Vladimir Mandic
2023-09-29 14:24:57 -04:00
parent 965e5a95f1
commit 01325ad557
+7 -4
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@@ -2,9 +2,11 @@
## Update for 2023-09-29
**TBD**: Planned before release:
**TBD**: Candidates before release:
- Integrate LoRA/Lyco for *backend:original*
- Add FreeU for *backend:diffusers*
- Add HAT upscaler
- Switch Diffusers prompt parser
This is a big one, with some major changes and new functionality...
And probably the biggest release since introduction of **Diffusers**
@@ -44,9 +46,7 @@ Upgrades are still possible and supported, but above is recommended for best exp
- refactored subfolder handling
*note*: this will trigger model hash recaclulation on first model use
- **Diffusers**:
- better pipeline auto-detect when loading from safetensors
also, new setting: *settings -> diffusers -> force inpaint*
as some models behave better when in *inpaint* mode even for normal *img2img* tasks
- better pipeline **auto-detect** when loading from safetensors
- **SDXL Inpaint**
- Although any model can be used for inpainiting, there is a case to be made for
dedicated inpainting models as they are tuned to inpaint and not generate
@@ -64,12 +64,15 @@ Upgrades are still possible and supported, but above is recommended for best exp
To download go to *Models -> Huggingface*:
- `stabilityai/sd-x2-latent-upscaler` *(2.2GB)*
- `stabilityai/stable-diffusion-x4-upscaler` *(1.7GB)*
- better **Hires** support for SD and SDXL
- better **TI embeddings** support for SD and SDXL
faster loading, wider compatibility and support for embeddings with multiple vectors
information about used embedding is now also added to image metadata
thanks @AI-Casanova
- better **Lora** handling
thanks @AI-Casanova
- new setting: *settings -> diffusers -> force inpaint*
as some models behave better when in *inpaint* mode even for normal *img2img* tasks
- **Upscalers**:
- fix long outstanding memory leak in legacy code, amazing this went undetected for so long
- more high quality upscalers available by default