huggingface / huggingface/diffusers
OMI Format Compatibility
- Dominant language
- Python
- Stars
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- Avg merge
- 3d 3h
- Merged PRs (30d)
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Description
Opening up this thread to raise the conversation on compatibility with the Open Model Initiative standardized key format. We'd engaged w/ Marc Sun a while back on this topic, but wanted to centralize the discussion w/ respect to diffusers here.
@Nerogar has consolidated the OMI formats for models in this repo:
https://huggingface.co/Nerogar/omi_lora/tree/main
Before Onetrainer begins defaulting to the OMI format, we wanted to evaluate whether there was interest in getting support included in diffusers. I believe that Kohya will be introducing a converter for these, rather than setting as the default.
Contributor guide
Research direction
Start with the OMI formats consolidated at https://huggingface.co/Nerogar/omi_lora/tree/main and review the existing discussion about adding OMI compatibility to diffusers. Clarify whether support should be included and whether it should be a converter or a default format; done requires an agreed scope and implementation plan.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100