Instructions to use Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8", 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 Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8: direct link, hf CLI and curl.
- Browser
- Download file 3.3 GB
-
https://huggingface.co/Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Atxous/FLUX.1-dev-ControlNet-Union-Pro-fp8/resolve/main/diffusion_pytorch_model.safetensors
3.3 GB
- Xet hash:
- 1e76031746da6495cbc4719bd0599719087466fba405fb9bafb1e0f29161ab56
- Size of remote file:
- 3.3 GB
- SHA256:
- 9535c82da8b4abb26eaf827e60cc3da401ed676ea85787f17b168a671b27e491
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