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
Commit History
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Replace artifact with paper-correct codebook v2 and native proof
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Publish compact OrbitQuant artifact metadata
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Clean OrbitQuant artifact assets
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Keep OrbitQuant model repos focused on final artifacts
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Upload Wan2.1 OrbitQuant W4A6 native artifact
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Add native Wan W4A6 simple-motion samples
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Add Wan2.1 T2V 1.3B OrbitQuant W4A6 artifact
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