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:
- 3aab91b35833b3660e5dfde50e9af1c95f78bda3cd940b3d524eda037bb44df5
- Size of remote file:
- 2.89 GB
- SHA256:
- 105ef9695b65d303be081748c8f0a35ddd8f1794b75f7c820614cc2f1f7cec2e
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