video-to-video
Wan2.1-DITTO is a unified video-to-video model for realistic style transfer and reenactment, replicating holistic movement and expressions across frames. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Input
Idle
Permintaan Anda akan membutuhkan $0.2 per run.
Untuk $10 Anda dapat menjalankan model ini sekitar 50 kali.
Satu lagi hal::
ContohLihat semua
README
Wan2.1-DITTO
Wan2.1-DITTO is an optimized video-to-video generation model that transforms existing footage into new visual styles guided by text or style prompts. With unified diffusion tuning, it delivers cinematic motion, smooth temporal consistency, and vivid artistic expression across multiple resolutions.
Why it looks great
- Unified Diffusion Core – Enhances motion smoothness and temporal consistency across frames.
- Style-flexible generation – Switch seamlessly between realism, anime, sketch, or cinematic tones.
- Precision color mapping – Retains natural tones and contrast even in stylized conversions.
- Resolution scalability – Available in both 480p and 720p, optimized for balance between speed and clarity.
- Consistent motion fidelity – Avoids flicker and deformation during high-action sequences.
Pricing
| Output Resolution | Price per 5 seconds | Max Length |
|---|---|---|
| 480p (Standard) | $0.20 | 120 s |
| 720p (HD) | $0.40 | 120 s |
How to Use
- Enter prompt — Describe or select the desired style for your video.
- Choose resolution — 480p or 720p.
- Run generation — Wait for AI rendering and preview results.
- Review & iterate — Fix
seedfor reproducibility, changeseedfor variation.
Pro tips for best quality
-
Keep your source video stable and clear for best transformation results.
-
Higher resolution (720p) is ideal for professional output, while 480p suits faster drafts.
Note
-
Actual render time varies with resolution and server load.
-
Videos longer than 120 s should be split into multiple segments and merged after processing.