video-to-video
WAN 2.1 V2V (video-to-video) converts source clips into unlimited AI-generated 480p videos for scalable content creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
Your request will cost $0.2 per run.
For $10 you can run this model approximately 50 times.
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ExamplesView all
README
Wan 2.1 V2V 480p — wavespeed-ai/wan-2.1/v2v-480p
Wan 2.1 V2V 480p is a video-to-video model for prompt-guided transformations while preserving the original motion and timing of an input clip. Upload a source video, describe the desired changes (style, lighting, atmosphere, details), and tune strength to control how closely the output follows the original footage. This 480p variant is ideal for fast, low-cost iteration before upgrading to 720p or LoRA workflows.
Key capabilities
- Video-to-video transformation anchored to an input video (480p output)
- Preserves motion continuity and pacing from the original clip
- Prompt-guided edits for style, lighting, mood, and scene details
- Strength control to balance “keep original” vs. “transform”
- Motion behavior tuning via flow_shift for smoother motion
Use cases
- Low-cost V2V restyling for rapid iteration and ideation
- Mood/lighting changes (cinematic grade, warm indoor, neon night) without retiming
- Social clip variations from the same base footage
- Draft previews before running higher resolution versions
- Generating multiple takes quickly by changing prompt or seed
Pricing
| Duration | Price per video |
|---|---|
| 5s | $0.20 |
| 10s | $0.30 |
Inputs
- video (required): source video to transform
- prompt (required): what to change and how the result should look
- negative_prompt (optional): what to avoid (artifacts, jitter, unwanted elements)
Parameters
- num_inference_steps: sampling steps
- duration: output duration (seconds)
- strength: how strongly to transform the input video (lower = preserve more; higher = change more)
- guidance_scale: prompt adherence strength
- flow_shift: motion/flow behavior tuning
- seed: random seed (-1 for random; fixed for reproducible results)
Prompting guide (V2V)
Template: Keep the original motion and timing. Change [style/lighting/environment/details]. Keep faces stable and natural. Avoid flicker, warping, and jitter.
Example prompts
- Keep the original motion and timing. Apply a warm cinematic color grade, soft bloom, subtle film grain, and natural shadows.
- Preserve composition and camera movement. Restyle into a clean anime look with stable shading and no flicker.
- Keep the same scene and movement. Add light rain and wet reflections while maintaining realistic skin tones.