Instructions to use wavespeed/FLUX.1-dev-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavespeed/FLUX.1-dev-mixed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavespeed/FLUX.1-dev-mixed", 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:
- 506606e2c30d06a398c4d778ed662d8f148f246b1f8bdc59fe4da71bf5c86d97
- Size of remote file:
- 168 MB
- SHA256:
- f58ad0fbb7e0621871b778bf36a6faeb2c46a79adb32b898b60acd1f9560f890
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