huggingface / huggingface/diffusers

Difference between Controlnet inpainting for SD2 and SD3

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#10,559 1 commento 0 reazioni 0 assegnatari Vedi su GitHub
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Descrizione

Firstly great work with adding SD3 support on diffusers!

I was trying to run the SD3 controlnet inpainting script : [https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet_inpainting.py](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet_inpainting.py) and realized that its doesn't have the concept of an init_image like [https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py).

I want to inpaint part of an image using a canny edge image (as my control). How would I do this in SD3?

Thanks in advance!

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Direzione di ricerca

Compare src/diffusers/pipelines/controlnet_sd3/pipeline_stable_diffusion_3_controlnet_inpainting.py with src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py, focusing on how init_image is handled. Determine the expected SD3 workflow for combining inpainting with a canny control image, then define the implementation and validation needed for that behavior.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
python, pytorch
Ambito
computer-vision, machine-learning
Tipo di issue
Funzionalità
Difficoltà
5/5
Tempo stimato
Più di una settimana
Stato di attività
Ferma
Chiarezza
Da chiarire
Idoneità per principianti
25/100

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