Instructions to use alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha", 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 images/comfy_out_4.png from alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha: direct link, hf CLI and curl.
- Browser
- Download file 1.21 MB
-
https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/resolve/main/images/comfy_out_4.png
- Command line
-
hf download hf://alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/images/comfy_out_4.png
-
curl -L -o comfy_out_4.png https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/resolve/main/images/comfy_out_4.png
1.21 MB

- Xet hash:
- bb7c4e26916a92968e999c5e1d8c020b1b98e29884f5dc45ad0ac94084eca780
- Size of remote file:
- 1.21 MB
- SHA256:
- 8d2ba921802a69c16ca735af80ee84fe637a7269c38b407bf1a832ed023546e7
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