lllyasviel / lllyasviel/LayerDiffuse_DiffusersCLI
Multi-layer Data generation pipeline
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- Dominant language
- Python
- Stars
- 425
- Forks
- 40
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
I hope to know more details about the multi-layer dataset generation pipeline. Specifically, after you generate the foreground layer, how do you generate the background with SD inpaint? SD inpaint may not do well in generating the background of transparent objects like glass bottle or textures like shadow/fire. How do you resolve this issue? Thanks.
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 reviewing the repository's multi-layer dataset generation pipeline and the SD inpaint path used after foreground generation. Document how backgrounds are produced and how transparent objects, shadows, and fire textures are handled. No file or test is named, so first identify the relevant entry point; the issue provides no concrete completion test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100