Wan 2.1 I2V 480p API Documentation
Playground
Try it on WaveSpeedAI!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
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 | $0.30 |
Notes
- For the most stable faces, keep actions subtle (talk, nod, small gestures) and avoid extreme head turns.
- If motion looks too “busy,” describe a calmer camera style (locked-off, slow push-in, gentle handheld).
- If details smear, add stronger constraints in the prompt (center frame, steady, smooth motion) and use a negative prompt that targets blur/jitter.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic ocean wave at sunrise, highly detailed",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"size": "832*480",
"num_inference_steps": 30,
"duration": 5,
"guidance_scale": 5,
"flow_shift": 3,
"seed": -1
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/wan-2.1/i2v-480p" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
created|processing) sleep 2 ;;
*) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | Yes | - | The image for generating the output. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| size | string | No | 832*480 | 832*480, 480*832 | 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 ~ 20 | The guidance scale to use for the generation. |
| flow_shift | number | No | 3 | 1 ~ 10 | The shift value for the timestep schedule for flow matching. |
| seed | integer | No | -1 | - | 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 | Output values, usually URL strings; some models return text strings or structured result objects (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 |
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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |