Text-to-Video
Diffusers
Safetensors
WanPipeline
video-generation
wan2.1
dmd
quantization-aware-training
nvfp4
sparse-attention
Instructions to use memset0/vsqa-preview-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use memset0/vsqa-preview-1.3b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("memset0/vsqa-preview-1.3b", 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
19 days ago
-
Add VSQA preview 1.3B: E0029/V0354 DMD step 1000 student export
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