Instructions to use frankjoshua/FLUX.1-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frankjoshua/FLUX.1-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("frankjoshua/FLUX.1-dev", 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
Commit History
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Add diffusers format weights (#3)
Verified signature- Add diffusers format weights (5d4717a3dc82fa40a286f48bb71f1ead5c517800) - update readme with diffusers goodies (97a16425ff5c88f218d76851f32820e703ea813d) - Update README.md (9ae394376d269f108989e648378f3ee54cfe7d7b) - Upload folder using huggingface_hub (f2a94b28d7167624c443a40aaa0334351bd62c02) - update scheduler (fe1bfe0b434c9a621a4d4ddad4f57204dcf55d23) Co-authored-by: Dhruv Nair <dn6@users.noreply.huggingface.co> Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>01aa605