Instructions to use InstantX/FLUX.1-dev-Controlnet-Union with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/FLUX.1-dev-Controlnet-Union with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/FLUX.1-dev-Controlnet-Union", 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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README.md
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## Release
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- [2024/08/26] 🔥 Release [FLUX.1-dev-ControlNet-Union-Pro](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro). Please install from [the source](https://github.com/huggingface/diffusers) before the next release. We have supported CN-Union and Multi-ControlNets via [this PR](https://github.com/huggingface/diffusers/pull/9175).
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- [2024/08/20] Release the beta version.
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- [2024/08/14] Release the alpha version.
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## Checkpoint
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## Release
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## Checkpoint
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