Instructions to use karoldobiczek/sam-controlnet-fresh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karoldobiczek/sam-controlnet-fresh with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("karoldobiczek/sam-controlnet-fresh") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.bin from karoldobiczek/sam-controlnet-fresh: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/karoldobiczek/sam-controlnet-fresh/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://karoldobiczek/sam-controlnet-fresh/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/karoldobiczek/sam-controlnet-fresh/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- b25509fc08b0b1112b739b34f01f5ce09fa1d317513fb72f6d4cc28ed371b814
- Size of remote file:
- 1.45 GB
- SHA256:
- 3483e20278a1edcfa8345f02a39a577a97d31c7e080c61c48f37f62efaf94380
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