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:
- a020aef9d133aaaeb2a039c847c4a0fdddc55fa9df72bba6c8de92d62ebd26ff
- Size of remote file:
- 1.47 kB
- SHA256:
- 4e11591c19caeaeb81fdc7a88545af55598323dea1d2351d2dcf02df1e6f8e3e
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