Efficient-Large-Model/SANA-Video_2.0_5B_720p

text-to-video model by Efficient-Large-Model

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SANA-Video 2.0 is an efficient diffusion transformer for high-resolution video generation. This release provides the 5B-class checkpoint jointly post-trained for text-to-video (T2V) and text-image-to-video (TI2V) generation at 720p for about eight seconds. The model combines gated bidirectional linear-attention layers with periodic dense softmax-attention anchors and shared Attention Residual aggregation. It uses Gemma 2 2B IT for text conditioning and the LTX 2.3 VAE contract with 128 latent channels and (8, 32, 32) temporal/spatial compression. The checkpoint is an inference artifact containing only the merged model statedict. It does not contain optimizer, scheduler, training-state, or standalone LoRA tensors. The EMA base weights and ReFL post-training adapter were merged before release. Stored tensors retain their merged source dtypes; the official inference entry point casts the transformer to BF16. This sample was generated from the public checkpoint with seed 4. The encoded result is 1280 × 736, 193 frames, 24 FPS, and 8.04…

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Model overview

Efficient-Large-Model/SANA-Video_2.0_5B_720p is a text-to-video model repository published by Efficient-Large-Model on Hugging Face. The source reports the sana library.

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Model facts

Task: text-to-video
Library: sana
Recent downloads (30 days): 3,423
Cumulative likes: 12
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-08-20T04:13:34.000Z
Last modified: 2026-08-27T07:24:49.000Z

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Reported languages: en, zh

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