Wan 2.1 T2V 480P | Powerful Text-to-Video API

Wan 2.1 Text-to-Video 480p

Generate dynamic videos from text descriptions with Wan 2.1 Text-to-Video 480p. This efficient model transforms your written prompts into smooth, visually appealing 480p videos — perfect for quick iterations, social content, and cost-effective video generation at scale.

Why It Stands Out

Pure text-to-video generation: No source image needed — simply describe your scene and watch it come to life.
Fast and affordable: Optimized for speed and cost efficiency while maintaining strong visual quality.
Prompt Enhancer: Built-in AI-powered prompt optimization helps you craft better descriptions for improved results.
Negative prompt support: Exclude unwanted elements for cleaner, more controlled outputs.
Flexible duration: Generate 5-second or 10-second clips depending on your needs.
Reproducibility: Use the seed parameter to recreate exact results or iterate on variations.

Pricing

Duration	Price
5 seconds	$0.20
10 seconds	$0.30

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the video you want to generate.
negative_prompt	No	Elements to avoid in the generated video.
size	No	Output resolution (default: 832×480).
num_inference_steps	No	Quality/speed trade-off (default: 30).
duration	No	Video length in seconds: 5 or 10 (default: 5).
guidance_scale	No	Prompt adherence strength (default: 5).
flow_shift	No	Motion intensity control (default: 3).
seed	No	Set for reproducibility; -1 for random.

How to Use

Write a prompt describing the scene, action, and style you want. Use the Prompt Enhancer for AI-assisted optimization.
Set parameters — adjust size, duration, guidance scale, and other settings as needed.
Add a negative prompt (optional) to exclude unwanted elements.
Click Run and wait for your video to generate.
Preview and download the result.

Best Use Cases

Social Media Content — Create quick, engaging video clips for TikTok, Reels, and Shorts.
Rapid Prototyping — Test video concepts quickly before committing to higher resolutions.
Marketing Previews — Generate draft videos for client approval at low cost.
Content at Scale — Produce high volumes of video content affordably.
Creative Exploration — Experiment with different prompts and styles without breaking the budget.

Pro Tips for Best Quality

Be specific in your prompt — describe subject, action, environment, lighting, and camera movement.
Use negative prompts to reduce common artifacts: blur, distortion, jitter, or watermarks.
Start with lower inference steps for quick previews, then increase for final renders.
Fix the seed when iterating to isolate the effect of parameter changes.
Use 480p for drafts and testing, then upgrade to 720p for final delivery if needed.

Notes

Processing time varies based on duration and current queue load.
Please ensure your prompts comply with content guidelines.

Wan 2.1 T2v 480p API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/t2v-480p 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 T2v 480p below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/t2v-480p" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "size": "832*480",
    "num_inference_steps": 30,
    "duration": 5,
    "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/t2v-480p", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "negative_prompt": "blurry, low quality, distorted",
        "size": "832*480",
        "num_inference_steps": 30,
        "duration": 5,
        "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/t2v-480p",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "negative_prompt": "blurry, low quality, distorted",
    "size": "832*480",
    "num_inference_steps": 30,
    "duration": 5,
    "guidance_scale": 5,
    "flow_shift": 3,
    "seed": -1
}
)

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

Wan 2.1 T2v 480p API — Frequently asked questions

What is the Wan 2.1 T2v 480p API?

Wan 2.1 T2v 480p is a WaveSpeedAI model for video generation, exposed as a REST API on WaveSpeedAI. Wan 2.1 creates unlimited text-to-video content at 480P from simple text prompts, ideal for prototyping and content generation. 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 T2v 480p 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-t2v-480p.

How much does Wan 2.1 T2v 480p cost per run?

Wan 2.1 T2v 480p starts at $0.20 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 T2v 480p accept?

Key inputs: `prompt`, `duration`, `size`, `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-t2v-480p.

How long does Wan 2.1 T2v 480p 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 T2v 480p 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.

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