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

- Xet hash:
- b5e1fdc334d678a595af57516ce20ecfb00aee9955ece78a6231909bb338ad02
- Size of remote file:
- 835 kB
- SHA256:
- 3d07c7e5d79dcfef64ed24897c25fc013d6ed2fc1e7a2ade2dc2b147b8f9ab92
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