PixVerse V6 generates high-quality videos from images with flexible duration (1-15s), multiple resolutions up to 1080p, and optional audio generation. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
निष्क्रिय
$0.1प्रति रन·~10 / $1
A joyful family of four playing on a sunny sandy beach. The mother, wearing a white tank top, denim shorts and sunglasses, smiles warmly while looking down at her children. The father in a white t-shirt and mint green shorts leans forward, playfully reaching out to the toddler. The older boy in a white tee and blue shorts steps closer to his mother curiously. The younger toddler in a white tee and mint shorts bounces excitedly toward his father with outstretched arms. A gentle sea breeze softly blows the mother's hair. Children laugh and move playfully, sand lightly scattering under their bare feet. Waves roll in slowly on the turquoise shoreline in the background. Warm golden sunlight, clear blue sky. Camera slowly dolly-in, cinematic and warm, shallow depth of field, family lifestyle photography style.
PixVerse V6 Image-to-Video animates a reference image into a high-fidelity cinematic video clip. Upload a photo, describe the motion and scene, and the model generates smooth, natural movement with optional synchronized audio — across multiple resolution and aspect ratio options.
Image-grounded generation Start from a reference photo for precise visual control over subject appearance, environment, and composition.
High-fidelity output Produces detailed, visually coherent video with accurate motion and scene rendering across four resolution tiers.
Optional audio generation Enable generate_audio_switch to produce synchronized ambient sound and atmosphere alongside the video.
Thinking mode The thinking_type parameter lets the model apply extended reasoning for complex or nuanced scene descriptions.
Flexible aspect ratios Supports multiple orientations to fit social, cinematic, and broadcast formats.
Prompt Enhancer Built-in tool to automatically improve your motion descriptions for richer output.
| Parameter | Required | Description |
|---|---|---|
| image | Yes | Reference image to animate (URL or file upload). |
| prompt | Yes | Text description of the motion, camera style, and scene atmosphere. |
| resolution | No | Output resolution: 360p, 540p, 720p (default), or 1080p. |
| duration | No | Clip length in seconds. Default: 5. |
| generate_audio_switch | No | Whether to generate synchronized audio for the video. Default: off. |
| thinking_type | No | Reasoning mode for scene generation. Default: auto. |
| Resolution | Without Audio | With Audio |
|---|---|---|
| 360p | $0.025/s | $0.035/s |
| 540p | $0.035/s | $0.045/s |
| 720p | $0.045/s | $0.060/s |
| 1080p | $0.090/s | $0.115/s |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pixverse/pixverse-v6/image-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Pixverse v6 Image To Video below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio_switch": false,
"thinking_type": "auto"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/pixverse/pixverse-v6/image-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d "$REQUEST_BODY")
TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
case "$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
doneconst submitUrl = "https://api.wavespeed.ai/api/v3/pixverse/pixverse-v6/image-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
async function requestJson(url, options = {}) {
const response = await fetch(url, options);
if (!response.ok) throw new Error(await response.text());
return response.json();
}
// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio_switch": false,
"thinking_type": "auto"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;
// 2. Poll until the prediction finishes.
while (true) {
const resultBody = await requestJson(resultUrl, {
headers: { "Authorization": `Bearer ${apiKey}` },
});
const result = resultBody.data ?? resultBody;
if (result.status === "completed") {
console.log(result.outputs);
break;
}
if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
await new Promise(resolve => setTimeout(resolve, 2000));
}import json
import os
import time
from urllib.request import Request, urlopen
api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
"resolution": "720p",
"duration": 5,
"generate_audio_switch": False,
"thinking_type": "auto"
}
def request_json(url, data=None):
request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
with urlopen(request) as response:
return json.load(response)
# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/pixverse/pixverse-v6/image-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"
# 2. Poll until the prediction finishes.
while True:
result_body = request_json(result_url)
result = result_body.get("data", result_body)
status = result.get("status")
if status == "completed":
print(result.get("outputs", []))
break
if status in {"failed", "cancelled", "timeout"}:
raise RuntimeError(result)
if status not in {"created", "processing"}:
raise RuntimeError(f"Unexpected status: {status}")
time.sleep(2)Pixverse v6 Image To Video is a Pixverse model for video generation from images, exposed as a REST API on WaveSpeedAI. PixVerse V6 generates high-quality videos from images with flexible duration (1-15s), multiple resolutions up to 1080p, and optional audio generation. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.
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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/pixverse/pixverse-pixverse-v6-image-to-video.
Pixverse v6 Image To Video starts at $0.10 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.
Key inputs: `prompt`, `image`, `resolution`, `duration`, `generate_audio_switch`, `thinking_type`. 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/pixverse/pixverse-pixverse-v6-image-to-video.
Median end-to-end generation time on WaveSpeedAI is around 52 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.
Commercial usage rights depend on the model's license, set by its provider (Pixverse). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.