Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/FLUX.1-schnell-OrbitQuant-W2A3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/FLUX.1-schnell-OrbitQuant-W2A3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/FLUX.1-schnell-OrbitQuant-W2A3", 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

- Xet hash:
- e010571ae4bcec677b4fe0395d254ce68bc96cf25898a3745239f7b9700a4f45
- Size of remote file:
- 7.01 MB
- SHA256:
- 5b404888dacf6cca5a4e728d64f8dd5440b7eca7e8c2d3a4ffb128e3d868ec85
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