video-to-video
Ultra-fast Wan 2.1 V2V generates unlimited 720P video-to-video conversions and supports custom LoRAs for personalized styles. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
Your request will cost $0.225 per run.
For $10 you can run this model approximately 44 times.
One more thing::
ExamplesView all
README
Wan 2.1 V2V 720p Ultra Fast — wavespeed-ai/wan-2.1/v2v-720p-ultra-fast
Wan 2.1 V2V 720p Ultra Fast is a speed-optimized video-to-video model that transforms an input video using a text prompt while preserving the original motion and timing. Upload a source video, describe the desired changes (style, lighting, environment, details), and tune strength to control how closely the output follows the original footage. This variant is the non-LoRA version, built for fast, clean V2V iteration at 720p.
Key capabilities
- Ultra-fast video-to-video transformation anchored to an input video (720p output)
- Prompt-guided edits while keeping motion continuity and pacing
- Strength control to balance preservation vs. transformation
- Fine motion behavior tuning via flow_shift for smoother motion
- Efficient for rapid A/B testing with different prompts and seeds
Use cases
- Rapid 720p V2V restyling for social, ads, and creative iteration
- Mood and lighting changes (cinematic grade, warm window light, neon, noir)
- Brand-safe refresh: keep composition and timing, update textures/colors/details
- Consistent motion preservation when you only need prompt-driven changes
- Fast iteration before upgrading to higher resolution or LoRA workflows
Pricing
| Duration | Price per video |
|---|---|
| 5s | $0.225 |
| 10s | $0.3375 |
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)
A clean structure is “preserve + edit + constraints”:
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 composition. Apply a candid, cinematic look with warm sunlight, soft depth of field, and gentle film grain.
- Preserve timing and camera movement. Restyle the scene into a clean anime look with stable shading and no flicker.
- Keep the same scene and people. Shift the color grade to golden hour and add subtle bloom while maintaining realistic shadows.