Text-to-Video
Sana
English
Chinese
SANA
SANA-Video
SANA-Video-2.0
720p
diffusion
DMD
few-step
LTX-2.3
Instructions to use Efficient-Large-Model/SANA-Video_2.0_5B_720p_4step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use Efficient-Large-Model/SANA-Video_2.0_5B_720p_4step with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://Efficient-Large-Model/SANA-Video_2.0_5B_720p_4step") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Notebooks
- Google Colab
- Kaggle
Commit History
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Document duration controls and scale 0.7 default
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Update four-step preview weights and add RL LoRA control
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Link the upstream four-step preview PR
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initial commit
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