Instructions to use UmerHA/Testing-ConrolNetXS-SD2.1-canny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmerHA/Testing-ConrolNetXS-SD2.1-canny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UmerHA/Testing-ConrolNetXS-SD2.1-canny", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.safetensors from UmerHA/Testing-ConrolNetXS-SD2.1-canny: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/UmerHA/Testing-ConrolNetXS-SD2.1-canny/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://UmerHA/Testing-ConrolNetXS-SD2.1-canny/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/UmerHA/Testing-ConrolNetXS-SD2.1-canny/resolve/main/diffusion_pytorch_model.safetensors
28.4 MB
- Xet hash:
- e663689571bcd99993b24714dbeee9243a9d8b05462acf32a6a82e9573daf987
- Size of remote file:
- 28.4 MB
- SHA256:
- 801b1ca5ec3bba8c9069b9172397ac960fc04082c20732ef88d2161d06b612c4
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