Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use karol-skorulski/controlnet_sd_tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use karol-skorulski/controlnet_sd_tutorial with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("karol-skorulski/controlnet_sd_tutorial") 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.safetensors from karol-skorulski/controlnet_sd_tutorial: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/karol-skorulski/controlnet_sd_tutorial/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://karol-skorulski/controlnet_sd_tutorial/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/karol-skorulski/controlnet_sd_tutorial/resolve/main/diffusion_pytorch_model.safetensors
1.45 GB
- Xet hash:
- ffe8158d9fc9729a0e7fdc6b934040534852a91a0b15115b31c1d2bef951511a
- Size of remote file:
- 1.45 GB
- SHA256:
- a4759f0bd99e91dc4adcb149fd4d1755ed1df693ac12d537a466e276537b516a
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