Wan 2.2 I2V 720p

Playground

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.

Features

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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.2/i2v-720p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5,
    "seed": -1
}'

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

Parameters

Task Submission Parameters

Request Parameters

Parameter	Type	Required	Default	Range	Description
image	string	Yes		-	The image for generating the output.
prompt	string	Yes		-	The positive prompt for the generation.
negative_prompt	string	No		-	The negative prompt for the generation.
last_image	string	No	-	-	The last image for generating the output.
duration	integer	No	5	5, 8	The duration of the generated media in seconds.
seed	integer	No	-1	-1 ~ 2147483647	The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data.id	string	Unique identifier for the prediction, Task Id
data.model	string	Model ID used for the prediction
data.outputs	array	Array of URLs to the generated content (empty when status is not `completed`)
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.has_nsfw_contents	array	Array of boolean values indicating NSFW detection for each output
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Result Request Parameters

Parameter	Type	Required	Default	Description
id	string	Yes	-	Task ID

Result Response Parameters

Parameter	Type	Description
code	integer	HTTP status code (e.g., 200 for success)
message	string	Status message (e.g., “success”)
data	object	The prediction data object containing all details
data.id	string	Unique identifier for the prediction, the ID of the prediction to get
data.model	string	Model ID used for the prediction
data.outputs	string	Array of URLs to the generated content (empty when status is not completed).
data.urls	object	Object containing related API endpoints
data.urls.get	string	URL to retrieve the prediction result
data.status	string	Status of the task: `created`, `processing`, `completed`, or `failed`
data.created_at	string	ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.error	string	Error message (empty if no error occurred)
data.timings	object	Object containing timing details
data.timings.inference	integer	Inference time in milliseconds

Wan 2.2 I2V 5b 720p LoRA Wan 2.2 I2V 720p LoRA