Instructions to use neuralvfx/LibreFlux-SAM-ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuralvfx/LibreFlux-SAM-ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neuralvfx/LibreFlux-SAM-ControlNet", 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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pipeline_tag: text-to-image
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datasets:
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- opendiffusionai/laion2b-squareish-1536px
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base_model: jimmycarter/LibreFLUX
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# LibreFLUX-ControlNet
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pipeline_tag: text-to-image
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datasets:
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- opendiffusionai/laion2b-squareish-1536px
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thumbnail: https://huggingface.co/neuralvfx/Z-Image-SAM-ControlNet/resolve/main/examples/side_by_side_b.png
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base_model: jimmycarter/LibreFLUX
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# LibreFLUX-ControlNet
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