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
Add pipeline tag
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by osanseviero - opened
README.md
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- Diffusers
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- Stable Diffusion
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base_model: black-forest-labs/FLUX.1-dev
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# Acknowledgements
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Thank you, [zzzzzero](https://github.com/zzzzzero), for pointing out the bug in the model.
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- Diffusers
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- Stable Diffusion
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base_model: black-forest-labs/FLUX.1-dev
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pipeline_tag: text-to-image
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---
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# Acknowledgements
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Thank you, [zzzzzero](https://github.com/zzzzzero), for pointing out the bug in the model.
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