mirror of
https://github.com/vladmandic/automatic
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update todo
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-1
@@ -10,7 +10,8 @@ Mostly a service release
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- find previews for already downloaded models or loras
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- **hires** enable non-latent upscale modes (standard upscalers)
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for both *original* and *diffusers* backend
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note: when using refiner, latent upscale works before refiner pass, but non-latent upscale works after refiner pass
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- when using non-latent upscalers, hires is now skipped - hires is only used for latent upscale
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- when using refiner, latent upscale works before refiner pass, but non-latent upscale works after refiner pass
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- new option **inference mode**
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- default is standard `torch.no_grad`
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new option is `torch.inference_only` which is slightly faster and uses less vram, but only works on some gpus
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@@ -22,7 +22,6 @@ Stuff to be added, in no particular order...
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- Port **A1111** stuff
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- Port `p.all_hr_prompts`
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- Import core repos to reduce dependencies
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- Parse StabilityAI `modelspec` metadata
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- Non-technical:
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- Update Wiki
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- Get more high-quality upscalers
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@@ -34,11 +33,12 @@ Stuff to be added, in no particular order...
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- XYZ grid upscalers
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- Built-in `motd`-style notifications
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- Docker PR
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- Add force hires
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- New Major
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- Style editor (use json format instead of csv)
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- Profile manager (for config.json and ui-config.json)
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- Style editor
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- Profile manager (for `config.json` and `ui-config.json`)
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- Multi-user support
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- Add [SAG](https://huggingface.co/docs/diffusers/v0.19.3/en/api/pipelines/self_attention_guidance),(https://github.com/ashen-sensored/sd_webui_SAG)
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- Add [SAG](https://huggingface.co/docs/diffusers/v0.19.3/en/api/pipelines/self_attention_guidance), [SAG](https://github.com/ashen-sensored/sd_webui_SAG)
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- Image phash and hdash using `imagehash`
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- Model merge using `git-rebasin`
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- Enable refiner-style workflow for `ldm` backend
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@@ -50,11 +50,9 @@ Stuff to be added, in no particular order...
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- Templates for SD-XL training
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- Lora train UI
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- Redesign
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- Extensions reporting framework
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- New UI
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- New inpainting canvas controls (move from backend to purely frontend)
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- New image browser (move from backend to purely frontend)
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- New extra networks (move from backend to purely frontend)
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- Change workflows from static/legacy to steps-based
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## Investigate
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