lllyasviel / lllyasviel/stable-diffusion-webui-forge
img2img saturation loss
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- Dominant language
- Python
- Stars
- 13k
- Forks
- 1.7k
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Description
After install of Forge UI (Forge with CUDA 12.1 + Pytorch 2.3.1, I did an update and then a full reinstall), I'm experiencing a loss of saturation in generated images every time I use inpainting or img2img upscale (SD Upscale).
I'm using photo-realistic SDXL models (but a quick test with FLux gave the same result of desaturated image): I tried to assign a VAE or leaving it in auto, and also set the "Apply color correction to img2img results to match original colors" but without changes, the images saved are always a desaturated version of the orignal. This does not happen if using HiRes Fix.
OS: Windows
Browser: Firefox
Graphic: RTX2060 super 8GB
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Reproduce the saturation loss with inpainting and img2img upscale using the reported Forge, CUDA, PyTorch, model, and Windows setup, then compare the saved output with HiRes Fix. Trace the paths responsible for img2img color handling, VAE selection, and the color-correction option; done means these workflows preserve the original image's saturation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100