Instructions to use 4spaces/controlnet-union-sdxl-1.0-promax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 4spaces/controlnet-union-sdxl-1.0-promax with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("4spaces/controlnet-union-sdxl-1.0-promax", 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.fp16.safetensors from 4spaces/controlnet-union-sdxl-1.0-promax: direct link, hf CLI and curl.
- Browser
- Download file 2.5 GB
-
https://huggingface.co/4spaces/controlnet-union-sdxl-1.0-promax/resolve/main/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://4spaces/controlnet-union-sdxl-1.0-promax/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/4spaces/controlnet-union-sdxl-1.0-promax/resolve/main/diffusion_pytorch_model.fp16.safetensors
2.5 GB
- Xet hash:
- 28d4c1ac58dedca8e8684011fbcda8892e2e4e8e3ee99a6419b86ce4b3c79b33
- Size of remote file:
- 2.5 GB
- SHA256:
- 3b23694cdb76616993a17dcf16b79cf3e99e057887745dc8707097e658fc82e7
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