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Videowan2.7wan2.7-text-to-video

Wan2.7 Text To Video

Alibaba WAN 2.7 Text-to-Video turns plain prompts into coherent, cinematic clips.

Open in Video Lab Browse all models~37 credits per run
Wan guideVerified

Alibaba's open-source video model line (Wan 2.1 → 2.7). Strong prompt adherence; the open-source pedigree means heavy community use and well-documented prompting patterns.

Strengths
  • Best-in-class prompt adherence — does what you ask, not what it thinks you want.
  • Wide variant family covers most needs (T2V, I2V, reference, motion control, lipsync).
  • Wan 2.5 and 2.6 catch up to closed-source quality at lower cost.
  • Wan 2.2 Spicy variants for adult creative work.
Weaknesses
  • Older versions (2.1, 2.2) look dated next to current flagship.
  • Stylization quality lags behind Kling and Hailuo.
Best for
  • Precise prompt-driven scene construction
  • Hybrid pipelines where Wan does the heavy lifting and another model polishes
Prompting tips
  • Treat Wan like a brief — itemize what's in frame, the action, the camera.
  • Wan does NOT need flowery language; plain descriptive prose works better.
Parameters
  • negative_prompt
    string
    Content to avoid in the video. Max 500 characters.
  • duration
    int
    Output video duration in seconds (2-15).
    23456789101112131415
    default: 5
  • resolution
    string
    Output video resolution tier.
    720p1080p
    default: 1080p
  • enable_prompt_expansion
    boolean
    Enable intelligent prompt rewriting.
    default: true
  • seed
    int
    Random seed for reproducibility (0-2147483647).
  • audio_url
    string
    URL of driving audio. Supports WAV and MP3. Duration: 3-30s. Max 15 MB. If not provided, the model auto-generates matching background music.
  • aspect_ratio
    string
    Aspect ratio of the generated video.
    16:99:161:14:33:4
    default: 16:9
  • enable_safety_checker
    boolean
    No description.
    default: true
You'll need
  • A text prompt
  • Reference audio
Try now

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