Model reference · open weights

SANA-Video_2.0_5B_720p_4step

SANA-Video_2.0_5B_720p_4step is an open-weight video model from Efficient-Large-Model, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.

NEW · released this week Video Efficient-Large-Model 1 variants 2k downloads/mo
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About

What SANA-Video_2.0_5B_720p_4step is

SANA-Video 2.0 5B 720p — 4-Step Preview Research preview: This distilled checkpoint is an early T2V-only preview. For the original 50-step T2V + TI2V release, use SANA-Video2.05B720p. Project page · Online demo · Documentation · GitHub · Paper SANA-Video 2.0 is an efficient diffusion transformer for high-resolution video generation. This preview provides a full-model EMA checkpoint distilled for four-stage text-to-video generation at 720p. It combines gated bidirectional linear-attention layers with periodic dense softmax-attention anchors and shared Attention Residual aggregation. Model details Checkpoint lineage and format The selected checkpoint is the global-step-1000 DMD EMA export initialized from the SANA-Video 2.0 SFT model after merging the ReFL step-500 adapter. DMD then updates the full transformer; this release is therefore a full model, not a LoRA adapter. The checkpoint contains a statedictema tensor mapping only. It does not contain optimizer, learning-rate scheduler, gradient-scaler, or training-loop state. The inference entry point unwraps statedictema, removes an optional model. key prefix, and casts the transformer to BF16. Files - checkpoints/SANAVideo2.05B720p4step.pth: distilled EMA transformer - config.yaml: clean 5B source-tower config with the preview frame/FPS defaults - demo/: verified seed-4 MP4 and poster generated from this checkpoint - LICENSE: Apache License 2.0 Verified 4-step example This 1280 × 736, 81-frame, 16 FPS sample was generated from the released checkpoint with seed 4 and the exact command shown below. Prompt: In a cozy, vintage room adorned with floral wallpaper, a cartoon rooster sits comfortably in a floral-patterned armchair, sipping from a bottle of beer. The rooster, with its vibrant red comb and wattle, displays a range of expressions—smiling, nodding, and opening its beak wide in a cheerful manner. The setting includes wooden furniture and another beer bottle on the table, adding to the relaxed atmosphere. The camera captures the rooster from a close-up angle, emphasizing its animated movements and lively demeanor. Four-stage sampling contract This model does not use a truncated DPM-Solver trajectory. At each f

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

MakerEfficient-Large-Model
TypeVideo models
Variants1
Runs withsana
Based onEfficient-Large-Model/SANA-Video_2.0_5B_720p
Released2026-08-27
Popularity2k downloads / month
Likes1
LicenceOpen weights

How it works

How video models work

Prompt / imagestart pointTemporal diffusionframes over timeVideoMP4 clipA video model generates a sequence of coherent frames from your prompt or a starting image.

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

VariantParamsPrecisionVRAMFits 16 GBWeights
SANA-Video_2.0_5B_720p_4stepBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys sana-video-2-0-5b-720p-4step for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (sana-video-2-0-5b-720p-4step below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/videos/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"sana-video-2-0-5b-720p-4step","prompt":"a drone shot over a forest"}'

Details

Languages, data & research

Languages

en zh

Tags

sana text-to-video SANA SANA-Video SANA-Video-2.0 720p diffusion DMD few-step LTX-2.3 en zh

Papers

Licence

Open weights

Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗

Sources

Weights & code

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