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
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<img src="images/alibaba.png" alt="alibaba" style="width: 20%; height: auto; margin-right: 5%;">
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<img src="images/alimama.png" alt="alimama" style="width: 20%; height: auto;">
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This repository provides a Inpainting ControlNet checkpoint for [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) model released by researchers from AlimamaCreative Team.
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## Model Cards
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<img src="images/alibaba.png" alt="alibaba" style="width: 20%; height: auto; margin-right: 5%;">
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<img src="images/alimama.png" alt="alimama" style="width: 20%; height: auto;">
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</div>
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This repository provides a Inpainting ControlNet checkpoint for [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) model released by researchers from AlimamaCreative Team.
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## Model Cards
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