Text-to-Image
Diffusers
Safetensors
English
Text-to-Image
ControlNet
Diffusers
Flux.1-dev
image-generation
Stable Diffusion
Instructions to use Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0", 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
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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@@ -147,8 +147,8 @@ If you find this project useful in your research, please cite us via
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```
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@misc{flux-cn-union-pro-2,
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author = {Shakker-Labs},
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title = {
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year = {2025},
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}
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}
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```
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```
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@misc{flux-cn-union-pro-2,
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author = {Shakker-Labs},
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title = {ControlNet-Union},
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year = {2025},
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howpublished={\url{https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0}},
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}
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```
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