Wan 2.1 I2V 480p

Playground

Wan 2.1 i2v-480p turns images into unlimited 480p AI videos with the Wan 2.1 image-to-video model, perfect for fast content creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

WAN 2.1 Image-to-Video 480p — wavespeed-ai/wan-2.1/i2v-480p

wavespeed-ai/wan-2.1/i2v-480p animates a single image into a short, smooth 480p video clip with natural motion, stable framing, and strong prompt control—ideal for fast I2V iteration and lightweight production previews.

What it’s good at

Turning a still image into a 5–10s video with coherent motion
Subtle, natural gestures (talking-to-camera, nods, hand movement)
Smooth camera feel (gentle push-in, slight handheld, slow pan) without over-shaking
Quick story beats for ads, explainers, and social clips at 480p

Playground inputs

Image (required): the source frame to animate
Prompt (required): describe subject, action, environment, and camera
Negative prompt (optional): reduce blur, jitter, artifacts, unwanted styles
Size: 480p
Duration: 5s or 10s

Prompting guide for natural I2V

Write like a director’s brief:

Subject: who is in frame
Action: what they do (small, realistic verbs work best)
Environment: lighting + background
Camera: framing + motion style
Motion quality: smooth, natural, stable

Example prompt (talking head / business): A confident young tech professional standing in a modern office, talking to the camera with calm hand gestures. Soft daylight, clean environment, business casual outfit, focused expression. Center frame, smooth motion, natural micro-expressions.

Negative prompt suggestions: blurry, jittery, shaky camera, low quality, distorted face, warped hands, inconsistent motion

Use cases

Product demos: bring a hero image to life with subtle motion and camera polish
Corporate explainers: talking-to-camera clips from a portrait-style photo
Social ads: quick 5-second motion posts for faster iteration
Concept validation: test prompts and motion direction cheaply before higher resolutions

Pricing

Model	Resolution	Duration	Price per run
wavespeed-ai/wan-2.1/i2v-480p	832×480	5s	$0.20
wavespeed-ai/wan-2.1/i2v-480p	832×480	10s	$0.30

Notes

For the most stable faces, keep actions subtle (talk, nod, small gestures) and avoid extreme head turns.
If motion looks too “busy,” describe a calmer camera style (locked-off, slow push-in, gentle handheld).
If details smear, add stronger constraints in the prompt (center frame, steady, smooth motion) and use a negative prompt that targets blur/jitter.

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-2.1/i2v-480p" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "832*480",
    "num_inference_steps": 30,
    "duration": 5,
    "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}"

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.
size	string	No	832*480	832480, 480832	The size of the generated media in pixels (width*height).
num_inference_steps	integer	No	30	1 ~ 40	The number of inference steps to perform.
duration	integer	No	5	5 ~ 10	The duration of the generated media in seconds.
guidance_scale	number	No	5	0.00 ~ 20.00	The guidance scale to use for the generation.
flow_shift	number	No	3	1.0 ~ 10.0	The shift value for the timestep schedule for flow matching.
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

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