Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/FLUX.1-schnell-OrbitQuant-W2A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/FLUX.1-schnell-OrbitQuant-W2A4 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-W2A4", 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
Download assets/image_generation_comparison_matrix.webp from WaveCut/FLUX.1-schnell-OrbitQuant-W2A4: direct link, hf CLI and curl.
- Browser
- Download file 7.04 MB
-
https://huggingface.co/WaveCut/FLUX.1-schnell-OrbitQuant-W2A4/resolve/main/assets/image_generation_comparison_matrix.webp
- Command line
-
hf download hf://WaveCut/FLUX.1-schnell-OrbitQuant-W2A4/assets/image_generation_comparison_matrix.webp
-
curl -L -o image_generation_comparison_matrix.webp https://huggingface.co/WaveCut/FLUX.1-schnell-OrbitQuant-W2A4/resolve/main/assets/image_generation_comparison_matrix.webp
7.04 MB

- Xet hash:
- b9583eca8f11b386a046a34a5a3a418951476c31854c17b8931e6d1193dfe4d8
- Size of remote file:
- 7.04 MB
- SHA256:
- 78874dc9f078f703a9f64a9f5551a1c34912b3f573a92c4aa9312357c338589b
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