huggingface / huggingface/diffusers
OMI Format Compatibility
- Langage dominant
- Python
- Étoiles
- 34.5k
- Forks
- 7.3k
- Merge moyen
- 3 j 3 h
- PR mergées (30 j)
- 91
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.
Guide de contribution
Ouvrir le guide de contribution
Piste de recherche
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.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- python
- Domaine
- machine-learning
- Type d'issue
- Fonctionnalité
- Difficulté
- 5/5
- Temps estimé
- Plus d'une semaine
- Activité
- À l'abandon
- Clarté
- À clarifier
- Accessibilité débutants
- 25/100