Instructions to use ModelsLab/Pixelwave-Flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/Pixelwave-Flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ModelsLab/Pixelwave-Flux", 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:
- f4e7650a71abbc7c8fd41dda884a92df088fec4ad0d48cfabe97672c00d5ca57
- Size of remote file:
- 1.15 MB
- SHA256:
- 98528aa694467fe390905537a4d98b7e69da27b9764ffdc25f693e3ac775c22a
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