huggingface / huggingface/diffusers
Difference between Controlnet inpainting for SD2 and SD3
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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.
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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