wan-video/wan-2.1-1.3b 🔢📝❓ → 🖼️

⭐ Official ▶️ 43.5K runs 📅 Feb 2025 ⚙️ Cog 0.14.0-alpha1 🔗 GitHub 📄 Paper ⚖️ License

text-to-video

About

Generate 5s 480p videos. Wan is an advanced and powerful visual generation model developed by Tongyi Lab of Alibaba Group

Example Output

Prompt:

"a dog is riding on a skateboard down a hill"

Output

Performance Metrics

18.97s Prediction Time

18.98s Total Time

All Input Parameters

{
  "prompt": "a dog is riding on a skateboard down a hill",
  "frame_num": 81,
  "resolution": "480p",
  "aspect_ratio": "16:9",
  "sample_shift": 8,
  "sample_steps": 30,
  "sample_guide_scale": 6
}

Input Parameters

seed Type: integer: Random seed for reproducible results (leave blank for random)
prompt (required) Type: string: Text prompt describing what you want to generate
frame_num Default: 81: Video duration in frames (based on standard 16fps playback)
resolution Default: 480p: Video resolution
aspect_ratio Default: 16:9: Video aspect ratio
sample_shift Type: numberDefault: 8Range: 0 - 20: Sampling shift factor for flow matching (recommended range: 8-12)
sample_steps Type: integerDefault: 30Range: 10 - 50: Number of sampling steps (higher = better quality but slower)
sample_guide_scale Type: numberDefault: 6Range: 0 - 20: Classifier free guidance scale (higher values strengthen prompt adherence)

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

[INFO] Using text-to-video mode with 1.3B model at 16:9 aspect ratio, 480p resolution
[INFO] Generating 81 frames (approximately 5.1 seconds at 16fps)
[INFO] Using 4 GPUs for distributed inference
[INFO] Distribution strategy: ring_size=4
[INFO] Starting video generation directly using distributed model...
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[INFO] Video generation completed in 18.33 seconds
[INFO] Generated output saved to: t2v-1.3B_832x480_a_dog_is_riding_on_a_skateboar_20250226_171756.mp4

Version Details

Version ID: 121bbb762bf449889f090d36e3598c72c50c7a8cc2ce250433bc521a562aae61
Version Created: February 27, 2025

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