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/6_1.png from alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha: direct link, hf CLI and curl.
- Browser
- Download file 2.26 MB
-
https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/resolve/main/images/6_1.png
- Command line
-
hf download hf://alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/images/6_1.png
-
curl -L -o 6_1.png https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Alpha/resolve/main/images/6_1.png
2.26 MB

- Xet hash:
- 97576ce183efdd61a5c6ca92ae7fb1530692c441ab6ad3739d0d1af3a35738b5
- Size of remote file:
- 2.26 MB
- SHA256:
- dd332178bb8d70351908b5598ac6733043fb10f77ffb13bd2ed4f39b55ec86bf
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