Wan 2.1 V2V 720p Ultra Fast

Wan 2.1 V2V 720p Ultra Fast

Playground

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.

Features

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

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.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/v2v-720p-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "num_inference_steps": 30,
    "duration": 5,
    "strength": 0.9,
    "guidance_scale": 5,
    "flow_shift": 3,
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"