Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("chaeyeonl33/controlnet_inpainting_shuffle_processedpromp_changemask_condition_random_mask") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 84fe3ef840cb715e5889e1da40a5809d9d1669c5e43fb56ffdd017e40dd4af9f
- Size of remote file:
- 2.89 GB
- SHA256:
- af7b6a8e3b55d592c0aac79454ca9029b5cc93d20aefe0ed064cc0b2cf19d4cb
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