mirror of
https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-06-21 21:14:23 +08:00
69 lines
4.7 KiB
Markdown
69 lines
4.7 KiB
Markdown
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## Fork of forge to use Chroma!
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This is a fork with the patch from https://github.com/croquelois/forgeChroma preinstalled thanks Thanks to [@croquelois](https://github.com/croquelois) && [@lllyasviel](https://github.com/lllyasviel)!
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I am going to keep updating it with new features. Suggestions are welcome.
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To use:
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git clone https://github.com/maybleMyers/chromaforge
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Download one of the t5xxl text encoders from https://huggingface.co/silveroxides/t5xxl_flan_enc and place in models/text_encoder.
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Download the vae from https://huggingface.co/lodestones/Chroma/tree/main ae.safetenstors and put it in models/vae.
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Download a checkpoint from https://huggingface.co/lodestones/Chroma/tree/main ie chroma-unlocked-v29.5.safetensors and place in models/Stable-diffusion.
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You will need python3.10 installed.
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Run webui-user.bat for windows installation. Run webui.sh for linux installation (./webui.sh) from the chromaforge root directory.
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After you first run webui-user.bat it might error, if so, close it and re run it.
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To update to the latest version navigate to your root directory in a terminal and type "git pull"
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in Forge, on the top left select all and not flux
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select the checkpoint and then in the next field select the text encoder and vae.
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Use euler simple scheduler.
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set the distilled config scale to 1, and the normal config scale to something like 3.5-7
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use a very long positive prompt and a very long negative prompt.
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forge doesn't seem to work with all quantized model, Q4_K_S fail, but Q4_1 work
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refer to screenshot for working settings.
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To update to torch 2.7.0 with cuda 12.8 on windows and install sage attention, navigate to your root directory after initial installation ie c:/chromaforge/ and run these commands:
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venv/scripts/activate
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pip install torch==2.7.0+cu128 torchvision==0.22.0+cu128 --index-url https://download.pytorch.org/whl/cu128
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pip install -U "triton-windows<3.4"
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pip install .\sageattention-2.1.1+cu128torch2.7.0-cp310-cp310-win_amd64.whl
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there's a bunch of extra samplers/schedulers at these places:
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https://github.com/DenOfEquity/webUI_ExtraSchedulers
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https://github.com/MisterChief95/sd-forge-extra-samplers
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Here are experimental high resolution checkpoints for chroma:
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https://huggingface.co/lodestones/chroma-debug-development-only/tree/main/staging_large_3
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https://huggingface.co/lodestones/chroma-debug-development-only/tree/main/staging_large_4
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They can be converted to safetensors with convertpth.py
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for example modify the source.pth and output.safetensors on the last line in the script: convert_pth_to_safetensors("source.pth", "output.safetensors") to what you want them to be, then run the script with python convertpth.py.
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## Radiance Model
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Download a checkpoint from here https://huggingface.co/lodestones/chroma-debug-development-only/tree/main/radiance then convert it with convertpth.py. Put it in your stable diffusion subfolder. Use the radiance model in the chroma tab of the gui without a vae. It will be automatically detected. Use the same T5 you normally use.
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The memory management is currently derped. It will run fast with a 24GB card when setting the gpu weights to about 19,200, but if you need to offload expect 4x slowdown.
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Training: https://github.com/lodestone-rock/flow/ https://github.com/kohya-ss/sd-scripts/tree/sd3
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Donate to Lodestone (training is bookoo expensive and crowdfunded): https://ko-fi.com/lodestonerock
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Discord: http://discord.gg/SQVcWVbqKx
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## Changlog
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9/2/2025
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Add res 2s, res 6s and res 16s samplers to main. Seems to work with beta good. Thanks to ClownsharkBatwing https://github.com/ClownsharkBatwing/RES4LYF
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8/29/2025
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Fixed previews w/ radiance chroma models, fixed memory management and offloading mechanisms for radiance somewhat, the memory management deffinately needs some more work.
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8/28/2025
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Added initial support for the radiance model class.
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7/13/2025
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Increase max res for chroma to 3072, add dedicated chroma button.
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6/11/2025
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Add links, Sigmoid Offset scheduler (thanks to croq and silveroxides https://github.com/silveroxides/ComfyUI_SigmoidOffsetScheduler), fix euler a simple sampler via croq's PR in forge https://github.com/lllyasviel/stable-diffusion-webui-forge/pull/2915.
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5/27/2025
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Fixed the sage attention implementation to work with chroma.
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5/25/2025
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Add support for sage and flash attention from this pr: https://github.com/lllyasviel/stable-diffusion-webui-forge/pull/2881 from @spawner1145
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use the methods by adding --use-sage-attention or --use-flash-attention ... upon testing by a few people does not seem to have an increase on speed at all.
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5/18/2025
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Update to latest version of forge. Fix broken queuing. |