SANA WM Chunk Causal
This repository contains the chunk-causal Stage-1 teacher DiT checkpoint for SANA-WM. It is intended to be used with the public SANA-WM code and reuses the VAE and refiner from Efficient-Large-Model/SANA-WMbidirectional.
Model source
- Kind
- Other
- File size
- 9.92 GB
- Base model
- Efficient-Large-Model/SANA-WM_bidirectional
- Version
- v1600m 720p
- Updated
- Sep 14, 2026
- Source
- Hugging Face
Source description
SANA-WM Chunk-Causal Stage-1 Teacher
This repository contains the chunk-causal Stage-1 teacher DiT checkpoint for SANA-WM.
It is intended to be used with the public SANA-WM code and reuses the VAE and refiner from Efficient-Large-Model/SANA-WM_bidirectional.
Files
config.yaml: inference config withscheduler.vis_sampler: chunk_flow_euler.dit/sana_wm_chunk_causal_1600m_720p.safetensors: chunk-causal Stage-1 teacher checkpoint.
Inference
python inference_video_scripts/wm/inference_sana_wm.py \
--config hf://Efficient-Large-Model/SANA-WM_chunk_causal/config.yaml \
--model_path hf://Efficient-Large-Model/SANA-WM_chunk_causal/dit/sana_wm_chunk_causal_1600m_720p.safetensors \
--image asset/sana_wm/demo_0.png \
--prompt asset/sana_wm/demo_0.txt \
--action "w-80,jw-40,w-40,lw-60,w-100" \
--num_frames 961 \
--output_dir results/sana_wm_chunk_causal
The sampler uses interval_k = 1 / num_chunks by default.
Sources
1 source
Sources
1 sourceVerified Aug 8
Model artifacts
1 artifact
Model artifacts
1 artifactdit/sana_wm_chunk_causal_1600m_720p.safetensors
safetensors · 9.92 GB · SHA-256 00699330c5e8…1553 · Hugging Face
DownloadSource excerpts
2 excerpts
Source excerpts
2 excerpts--- license: apache-2.0 base_model: - Efficient-Large-Model/SANA-WM_bidirectional pipeline_tag: text-to-video --- # SANA-WM Chunk-Causal Stage-1 Teacher This repository contains the chunk-causal Stage-1 teacher DiT checkpoint for SANA-WM. It is intended to be used with the public SANA-WM code and reuses the VAE and refiner from `Efficient-Large-Model/SANA-WM_bidirectional`. ## Files - `config.yaml`: inference config with `scheduler.vis_sampler: chunk_flow_euler`. - `dit/sana_wm_chunk_causal_1600m_720p.safetensors`: chunk-causal Stage-1 teacher checkpoint. ## Inference ```bash python inference_video_scripts/wm/inference_sana_wm.py \ --config hf://Efficient-Large-Model/SANA-WM_chunk_causal/config.yaml \ --model_path hf://Efficient-Large-Model/SANA-WM_chunk_causal/dit/sana_wm_chunk_causal_1600m_720p.safetensors \ --image asset/sana_wm/demo_0.png \ --prompt asset/sana_wm/demo_0.txt \ --action "w-80,jw-40,w-40,lw-60,w-100" \ --num_frames 961 \ --output_dir results/sana_wm_chunk_causal ``` The sampler uses `interval_k = 1 / num_chunks` by default.
Source context: 49 downloads · 0 likes · Pipeline text-to-video · Repo Efficient-Large-Model/SANA-WM_chunk_causal
