huggingface / huggingface/diffusers
[Community Support] Integrating visual generative foundation models in diffusers
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
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Description
Model/Pipeline/Scheduler description
Source code: https://github.com/Bili-Sakura/Visual-Generative-Foundation-Model-Collection
Open source status
- The model implementation is available.
- The model weights are available (Only relevant if addition is not a scheduler).
Provide useful links for the implementation
Diffusers style ckpt: https://huggingface.co/collections/BiliSakura/visual-generation-models
It goes on a long list, I fail to mention all the original authors. You can find the source repo with their author at https://github.com/Bili-Sakura/Visual-Generative-Foundation-Model-Collection#imagenet-256.
@sayakpaul @yiyixuxu
Contributor guide
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 with the linked Visual-Generative-Foundation-Model-Collection source repository and the Hugging Face Diffusers-style checkpoint collection. The issue does not identify a specific model or pipeline to integrate; done would require first defining the target and then adding and validating that integration in diffusers.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100