FLUX LoRA Fine-Tuning: Border Outpainting and Pixel-Level Misalignment Issues in Image Editing
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Active
- Tech stack
- python
- Domain
- computer-vision, machine-learning
Research direction
No files, tests, or entry points are identified. Start by reproducing inference with flux.2-klein-base-9b, the LoRA fine-tuning setup, and pixel-aligned pre- and post-edited image pairs, then compare border geometry, pixel alignment, and detail preservation. Done would require identifying the cause of the artifacts and documenting a verified correction or limitation.
Written by the indexing model from the issue text.
Description
Why does the flux.2-klein-base-9b model, when fine-tuned via LoRA on pixel-aligned pre- and post-edited image pairs with prompts for an image editing task, exhibit slight border expansion (outpainting), a failure to preserve pixel-level structural consistency, and minor detail distortions during inference?
- Dominant language
- Python
- Stars
- 13.1k
- Forks
- 1.3k
- Avg merge
- 12h 53m
- Merged PRs (30d)
- 42
Contributor guide
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First steps
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- Open a pull request that references the issue number.
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