Instructions to use HelloTestUser/FLUX.1-Krea-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloTestUser/FLUX.1-Krea-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("HelloTestUser/FLUX.1-Krea-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
- Draw Things
- DiffusionBee
- Xet hash:
- 864207ed9a8c142f633ee88c06b6e15cc8244a0b7ce46aaecb2523ab118eaf31
- Size of remote file:
- 12.6 MB
- SHA256:
- f9cda9cea9c752a970c8e9d44c07251f88d134ec3ff94538a511fc811b378918
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