Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/FLUX.1-schnell-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/FLUX.1-schnell-OrbitQuant-W4A4 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-W4A4", 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-W4A4: direct link, hf CLI and curl.
- Browser
- Download file 27.5 MB
-
https://huggingface.co/WaveCut/FLUX.1-schnell-OrbitQuant-W4A4/resolve/main/assets/image_generation_comparison_matrix.webp
- Command line
-
hf download hf://WaveCut/FLUX.1-schnell-OrbitQuant-W4A4/assets/image_generation_comparison_matrix.webp
-
curl -L -o image_generation_comparison_matrix.webp https://huggingface.co/WaveCut/FLUX.1-schnell-OrbitQuant-W4A4/resolve/main/assets/image_generation_comparison_matrix.webp
27.5 MB
- Xet hash:
- b27e0af91d0363d644035f8ec0e37d484e994a543299f9bca7283e9f3dd411c1
- Size of remote file:
- 27.5 MB
- SHA256:
- ee75ca98e802cfe227acd5bf8b9b73e2fa531fbaca040c0980ad7af9bfbe3935
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