Wan 2.2 I2V 720P | Fast Image-to-Video API

Wan 2.2 Image-to-Video 720p

Generate high-quality 720p HD videos from images with Wan 2.2. This streamlined model delivers professional-grade output with start-to-end frame interpolation support — perfect for cinematic content, sci-fi scenes, and polished video production.

Need custom styles? Try Wan 2.2 I2V 720p LoRA for LoRA adapter support.

Why It Looks Great

720p HD output: Sharp, professional-quality video suitable for final deliverables.
Start-to-end interpolation: Optionally provide a last frame for smooth transitions.
Streamlined workflow: Simple parameters for straightforward video generation.
Negative prompt support: Exclude unwanted elements for precise control.
Prompt Enhancer: Built-in tool to refine your motion descriptions automatically.
Safety Checker: Optional content filtering for appropriate output.
Reproducible results: Use the seed parameter to recreate exact outputs.

Parameters

Parameter	Required	Description
image	Yes	Source/starting image to animate (upload or public URL).
prompt	Yes	Text description of the motion and action you want.
negative_prompt	No	Elements to avoid in the generated video.
last_image	No	Optional ending frame for start-to-end interpolation (upload or URL).
duration	No	Video length: 5 or 8 seconds. Default: 5.
seed	No	Random seed for reproducibility. Use -1 for random.

How to Use

Upload your starting image — drag and drop or paste a public URL.
Write your prompt — describe the motion, action, and atmosphere in detail.
Use Prompt Enhancer (optional) — click to enrich your motion description.
Add negative prompt (optional) — specify elements to exclude.
Upload last image (optional) — add an ending frame for interpolation effects.
Set duration — choose 5 or 8 seconds.
Set seed (optional) — for reproducible results.
Run — click the button to generate.
Download — preview and save your video.

Pricing

Per 5-second billing based on duration.

Duration	Calculation	Cost
5 seconds	5 ÷ 5 × $0.30	$0.30
8 seconds	8 ÷ 5 × $0.30	$0.48

Best Use Cases

Sci-Fi & Futuristic Content — Animate high-tech scenes, holograms, and futuristic environments.
Cinematic Sequences — Create professional-quality video with dramatic motion and lighting.
Product Visualization — Bring product concepts and renders to life with motion.
Game & Entertainment — Generate cutscene-style content from concept art.
Marketing Videos — Produce polished video content for campaigns and presentations.

Example Prompts

"A futuristic soldier activates a holographic map inside a high-tech command center, flickering lights, intense atmosphere"
"Camera slowly pushes in as neon lights flicker and reflect off wet surfaces, cyberpunk mood"
"Spaceship cockpit view, stars streaking past the window, subtle control panel animations"
"Character turns dramatically, cape flowing in slow motion, epic cinematic lighting"
"Fog rolls through ancient ruins, torches flickering, mysterious ambient movement"

Start-to-End Interpolation

When you provide both an image and a last_image, the model creates a smooth video transition between the two frames:

Use Case	How to Use
Scene transitions	Start with day scene, end with night scene
State changes	Hologram off → hologram on
Movement sequences	Start position to end position
Lighting shifts	Dark scene to illuminated scene

Model Comparison

Model	Cost (5s)	Features	Best For
I2V 720p	$0.30	Standard features	Straightforward HD generation
I2V 720p LoRA	$0.35	+ LoRA support	Custom styles and characters
I2V 720p LoRA Ultra Fast	$0.15	+ LoRA, speed-optimized	Rapid iteration with LoRAs

Pro Tips for Best Results

For sci-fi content, describe tech elements: "holographic", "flickering lights", "high-tech".
Include atmospheric details: "intense atmosphere", "dramatic lighting", "fog", "reflections".
Use the last_image feature for controlled state changes (e.g., device activating).
Negative prompts like "blur", "jitter", "static" help ensure smooth motion.
Match prompt intensity to scene: "intense" for action, "subtle" for ambient scenes.
Start with 5-second videos to test concepts before generating 8-second versions.

Notes

If using URLs for images, ensure they are publicly accessible. Preview thumbnails confirm successful loading.
Enable Safety Checker for content that will be publicly shared.
Duration options are 5 or 8 seconds only.
For custom style control, consider the LoRA-enabled variant.

Wan 2.2 I2v 720p API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-720p 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 2.2 I2v 720p below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-720p" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "negative_prompt": "blurry, low quality, distorted",
    "duration": 5,
    "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-2.2/i2v-720p", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://example.com/your-input.jpg",
        "negative_prompt": "blurry, low quality, distorted",
        "duration": 5,
        "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-2.2/i2v-720p",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://example.com/your-input.jpg",
    "negative_prompt": "blurry, low quality, distorted",
    "duration": 5,
    "seed": -1
}
)

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

Wan 2.2 I2v 720p API — Frequently asked questions

What is the Wan 2.2 I2v 720p API?

Wan 2.2 I2v 720p is a WaveSpeedAI model for video generation from images, exposed as a REST API on WaveSpeedAI. WAN 2.2 A14B i2v-720p converts images into smooth 720p videos, enabling unlimited AI video generation with the Wan 2.2 image-to-video model. 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 2.2 I2v 720p 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-2.2-i2v-720p.

How much does Wan 2.2 I2v 720p cost per run?

Wan 2.2 I2v 720p starts at $0.30 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 2.2 I2v 720p accept?

Key inputs: `prompt`, `image`, `duration`, `seed`, `negative_prompt`, `last_image`. 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-2.2-i2v-720p.

How long does Wan 2.2 I2v 720p take to generate?

Average end-to-end generation time on WaveSpeedAI is around 228 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 2.2 I2v 720p 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.

ExamplesView all

Related Models

README