Instructions to use lllyasviel/control_v11p_sd15_canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lllyasviel/control_v11p_sd15_canny with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("lllyasviel/control_v11p_sd15_canny") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.fp16.bin from lllyasviel/control_v11p_sd15_canny: direct link, hf CLI and curl.
- Browser
- Download file 723 MB
-
https://huggingface.co/lllyasviel/control_v11p_sd15_canny/resolve/main/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://lllyasviel/control_v11p_sd15_canny/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/lllyasviel/control_v11p_sd15_canny/resolve/main/diffusion_pytorch_model.fp16.bin
723 MB
- Xet hash:
- c6eca3a99f71ff870669572d90533efb6c8aab05410fa270baca2166a452cdbe
- Size of remote file:
- 723 MB
- SHA256:
- 6b80be83ccaf52d8d0c136323e88befe73994d7d416e534f410e46e3ed2cab9b
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