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
- Draw Things
- DiffusionBee
- Xet hash:
- 1afc89f35375e7bdc84e5fefd106cdf0406e5507e012b442c1294ba952339bb9
- Size of remote file:
- 2.89 GB
- SHA256:
- 62e49603b5854a40853bda080383faae5b58eec09918516578b55ecdb94bfd52
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