Diffusers
Safetensors
OrbitQuantComponentArtifact
orbitquant
quantized
diffusion-transformer
8-bit precision
Instructions to use WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6 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/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6", 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/video_generation_comparison_matrix.webp from WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6: direct link, hf CLI and curl.
- Browser
- Download file 477 kB
-
https://huggingface.co/WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6/resolve/main/assets/video_generation_comparison_matrix.webp
- Command line
-
hf download hf://WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6/assets/video_generation_comparison_matrix.webp
-
curl -L -o video_generation_comparison_matrix.webp https://huggingface.co/WaveCut/Wan2.1-T2V-1.3B-Diffusers-OrbitQuant-W4A6/resolve/main/assets/video_generation_comparison_matrix.webp
477 kB

- Xet hash:
- 573a095a955c930b2f6903e5d45ceec50c1693465fe934d0dfb967c68322112c
- Size of remote file:
- 477 kB
- SHA256:
- 284e691276f245646e8ed2b21a49e5c8677fcf1e9391401dfebd79c476aa3ada
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