Instructions to use rkv1990/FLUX.1-Fill-dev-outpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rkv1990/FLUX.1-Fill-dev-outpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rkv1990/FLUX.1-Fill-dev-outpainting", torch_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 Settings
- Draw Things
- DiffusionBee
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README.md
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- outpainting
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- inpainting
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- flux
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---
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`FLUX.1 Fill [dev]` is a 12 billion parameter rectified flow transformer capable of filling areas in existing images based on a text description.
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```
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To learn more check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation
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language:
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: LICENSE.md
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tags:
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- image-generation
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- flux
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- inpainting
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- diffusion-single-file
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---
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- outpainting
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- inpainting
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- flux
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- diffusion
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---
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`FLUX.1 Fill [dev]` is a 12 billion parameter rectified flow transformer capable of filling areas in existing images based on a text description.
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```
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To learn more check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation
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