lllyasviel / lllyasviel/sd-forge-layerdiffuse
no transparency even with sanity check values
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- Dominant language
- Python
- Stars
- 4.1k
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Description
woman, messy hair, high quality
Negative prompt: bad, ugly
Steps: 20, Sampler: DPM++ 2M SDE Karras, CFG scale: 5, Seed: 12345, Size: 1024x1024, Model hash: 1fe6c7ec54, Model: juggernautXL_version6Rundiffusion, Token merging ratio: 0.2, layerdiffusion_enabled: True, layerdiffusion_method: (SDXL) Only Generate Transparent Image (Attention Injection), layerdiffusion_weight: 1, layerdiffusion_ending_step: 1, layerdiffusion_fg_image: False, layerdiffusion_bg_image: False, layerdiffusion_blend_image: False, layerdiffusion_resize_mode: Crop and Resize, layerdiffusion_fg_additional_prompt: , layerdiffusion_bg_additional_prompt: , layerdiffusion_blend_additional_prompt: , Version: f0.0.12-latest-150-g3cdae096
no transparency whatsoever
the girl looks the same but with a slightly different smily. I wonder why, I copies the generation data and using the juggernautXL checkpoint!
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
Reproduce the report using the supplied prompt, negative prompt, checkpoint, sampler, seed, and LayerDiffuse settings, including “Only Generate Transparent Image.” Compare the result with the expected transparent output and inspect the relevant LayerDiffuse integration point in the Forge WebUI; done means the same settings produce an image with transparency.
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
- Mostly clear
- Newbie friendliness
- 35/100