lllyasviel / lllyasviel/stable-diffusion-webui-forge
FLUX Inpainting Not Working With Latest Update? Since Feb 2025
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Description
Hi I found this thread and this is exactly the issue I am having as well,
Mine started on the 2nd Of Feb 2025, again after an update. everytime I use image2image the output has a tan/brown tint.
If i use inpaint every mouse click on the image makes it darker and darker and goes through the Brown/ Yellow gradient untill the picture is washed out. Whate strange is if i clear the inpainted area it resets the colour.
actual inpaint and image2image output is washed out and desaturated espically in the Blue range.
I have uninstalled python, Git, and SD Forge and reinstalled everything fresh on a different directory and even a different hard drive but still get the same results.
This happens in forge weather i use the SD1.5, SDXL, and SD FLUX. I have evenreinstalled fresh FLUX Model (FLUX -DEV) and VAE
Just to add if I do a Batch image 2image to enlarge pictures the colour stays the same and dont have the brown desaturated tint.
Any help would be much appreciated.
### Discussed in https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1985
Originally posted by **mistermcluvin** October 5, 2024
I updated Forge this AM and I noticed that FLUX Inpainting no longer works correctly for me. I get this dark, burnt, over saturated output? I swear it was working fine 2 days ago but I didn't use it after yesterdays update so I am not sure when the change occurred.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the reported tint and progressive darkening in image2image and inpaint with SD1.5, SDXL, and FLUX after the update described. Compare those results with batch image2image enlargement, and use the linked Discussion #1985 for the prior report. Done means identifying a reproducible cause and confirming corrected color output across the affected modes.
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
- 25/100