huggingface / huggingface/diffusers

OMI Format Compatibility

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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.

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.

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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

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