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Download README.md from SJTU-DENG-Lab/WaveForcing-1.3B: direct link, hf CLI and curl.
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https://huggingface.co/SJTU-DENG-Lab/WaveForcing-1.3B/resolve/main/README.md
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curl -L -o README.md https://huggingface.co/SJTU-DENG-Lab/WaveForcing-1.3B/resolve/main/README.md
1.13 kB
metadata
license: apache-2.0
tags:
- video-generation
- streaming
- WaveForcing
- 1.3B
WaveForcing-1.3B
Inference weights of the WaveForcing 1.3B text-to-video model, as native-Wan model.safetensors. Two variants: 5step/ (5 denoising steps) and 4step/ (4 denoising steps).
Text encoder, tokenizer and VAE are not included; load them from Wan2.1-T2V-1.3B.
Download
hf download SJTU-DENG-Lab/WaveForcing-1.3B --local-dir ckpts/WaveForcing-1.3B
Run (WaveRT)
5-step:
python -m wave_rt \
--model-path ckpts/Wan2.1-T2V-1.3B-Diffusers \
--gen-ckpt ckpts/WaveForcing-1.3B/5step/model.safetensors \
--rf-step 5 --wp-size 6 \
--denoising-step-list 1000,800,600,400,200 \
--vae-stages 2 --vae-partition time \
--kv-context causal --exchange-mode paged \
--attention-backend torch_sdpa
4-step: point --gen-ckpt to 4step/model.safetensors and use --rf-step 4 --wp-size 5 --denoising-step-list 1000,750,500,250 --vae-stages 3.