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Wan 2.1 V2V 480P Ultra Fast

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Ultra-fast Wan 2.1 Video-to-Video (v2v) model for generating unlimited AI videos at 480p from existing video inputs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

video-to-video
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Ожидание

$0.125за запуск·~80 / $10

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README

Wan 2.1 Video-to-Video 480p Ultra Fast

Wan 2.1 Video-to-Video 480p Ultra Fast is a lightning-fast video transformation model optimized for speed and efficiency. Convert existing videos into new styles and visual treatments in seconds — perfect for rapid iteration, previews, and high-volume processing.

Why It Stands Out

  • Ultra-fast processing: Optimized for speed without sacrificing quality.
  • Video-to-video transformation: Convert videos into different styles while preserving motion.
  • Prompt-guided transformation: Describe the visual style you want to achieve.
  • Prompt Enhancer: Built-in AI-powered prompt optimization for better results.
  • Negative prompt support: Exclude unwanted elements for cleaner outputs.
  • Fine-tuned control: Adjust strength, guidance scale, and flow shift for precise results.
  • Affordable pricing: Cost-effective option for prototyping and batch processing.
  • Reproducibility: Use the seed parameter to recreate exact results.

Parameters

ParameterRequiredDescription
videoYesSource video to transform (upload or public URL).
promptYesText description of the desired visual style.
negative_promptNoElements to avoid in the output.
num_inference_stepsNoQuality/speed trade-off (default: 30).
durationNoOutput video length: 5 or 10 seconds (default: 5).
strengthNoTransformation intensity (0.0–1.0, default: 0.9).
guidance_scaleNoPrompt adherence strength (default: 5).
flow_shiftNoMotion flow control (default: 3).
seedNoSet for reproducibility; -1 for random.

How to Use

  1. Upload your source video — drag and drop a file or paste a public URL.
  2. Write a prompt describing the visual style you want. Use the Prompt Enhancer for AI-assisted optimization.
  3. Add a negative prompt (optional) — specify elements to exclude.
  4. Adjust parameters — set strength, guidance scale, and other settings as needed.
  5. Click Run and wait for your video to generate.
  6. Preview and download the result.

Best Use Cases

  • Rapid Prototyping — Quickly test style transformations before committing to higher resolutions.
  • Batch Processing — Transform multiple videos affordably at scale.
  • Style Exploration — Experiment with different visual treatments efficiently.
  • Content Previews — Generate quick previews for client approval.
  • Social Media Content — Create stylized videos for platforms where 480p is sufficient.

Pricing

DurationPrice
5 seconds$0.125
10 seconds$0.1875

Pro Tips for Best Quality

  • Use lower strength (0.5–0.7) to preserve more of the original video.
  • Use higher strength (0.8–0.95) for more dramatic style transformations.
  • Use negative prompts to reduce artifacts like blur, distortion, or unwanted elements.
  • Start with 480p Ultra Fast for testing, then upgrade to 720p for final delivery.
  • Fix the seed when iterating to compare different parameter settings.

Notes

  • Ensure uploaded video URLs are publicly accessible.
  • Processing time is optimized for speed — expect quick turnaround.
  • For higher resolution output, consider Wan 2.1 V2V 720p.
  • Please ensure your content complies with usage guidelines.
Доступность:Этот сайт использует модели ИИ, предоставляемые третьими лицами.

Wan 2.1 v2v 480p Ultra Fast API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/v2v-480p-ultra-fast with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Wan 2.1 v2v 480p Ultra Fast below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/v2v-480p-ultra-fast" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "negative_prompt": "blurry, low quality, distorted",
    "num_inference_steps": 30,
    "duration": 5,
    "strength": 0.9,
    "guidance_scale": 5,
    "flow_shift": 3,
    "seed": -1
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].
Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/wan-2.1/v2v-480p-ultra-fast", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "negative_prompt": "blurry, low quality, distorted",
        "num_inference_steps": 30,
        "duration": 5,
        "strength": 0.9,
        "guidance_scale": 5,
        "flow_shift": 3,
        "seed": -1
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/wan-2.1/v2v-480p-ultra-fast",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "negative_prompt": "blurry, low quality, distorted",
    "num_inference_steps": 30,
    "duration": 5,
    "strength": 0.9,
    "guidance_scale": 5,
    "flow_shift": 3,
    "seed": -1
}
)

print(output["outputs"][0])  # → URL of the generated output

Wan 2.1 v2v 480p Ultra Fast API — Frequently asked questions

What is the Wan 2.1 v2v 480p Ultra Fast API?

Wan 2.1 v2v 480p Ultra Fast is a WaveSpeedAI model for video editing, exposed as a REST API on WaveSpeedAI. Ultra-fast Wan 2.1 Video-to-Video (v2v) model for generating unlimited AI videos at 480p from existing video inputs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Wan 2.1 v2v 480p Ultra Fast API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.1-v2v-480p-ultra-fast.

How much does Wan 2.1 v2v 480p Ultra Fast cost per run?

Wan 2.1 v2v 480p Ultra Fast starts at $0.13 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Wan 2.1 v2v 480p Ultra Fast accept?

Key inputs: `prompt`, `video`, `duration`, `seed`, `guidance_scale`, `num_inference_steps`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/wan-2.1-v2v-480p-ultra-fast.

How long does Wan 2.1 v2v 480p Ultra Fast take to generate?

Average end-to-end generation time on WaveSpeedAI is around 54 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Wan 2.1 v2v 480p Ultra Fast outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.