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:
- e70533553549be4e030a50dbcce2cb872c6cc0f5c516d73a846e71fa123c8cdb
- Size of remote file:
- 2.7 MB
- SHA256:
- b849fcb3f63ff5135cfb6abd1d3f19bf4703ebf6708b5a603de81d2d72204860
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