Instructions to use neuralvfx/LibreFlux-IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuralvfx/LibreFlux-IP-Adapter 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-IP-Adapter", 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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---
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license:
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- apache-2.0
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library_name: diffusers
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pipeline_tag: text-to-image
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datasets:
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- SA1B
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base_model:
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- jimmycarter/LibreFLUX
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- InstantX/FLUX.1-dev-IP-Adapter
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---
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license:
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- apache-2.0
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- other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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library_name: diffusers
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pipeline_tag: text-to-image
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datasets:
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- SA1B
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- opendiffusionai/laion2b-squareish-1024px
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base_model:
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- jimmycarter/LibreFLUX
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- InstantX/FLUX.1-dev-IP-Adapter
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