Pixverse v4.5 turns text prompts into high-quality videos with multiple resolutions, aspect ratios, and motion modes. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Chờ
$0.25cho mỗi lần chạy·~40 / $10
An astronaut floating weightlessly inside a space station, Earth visible outside the window, 4K cinematic shot
A lone motorcyclist rides through a neon-lit city at night, rain falling, slow motion, cinematic lighting
A ballerina performing on a dimly lit stage surrounded by fog, graceful movements, spotlight tracking
A child running through a field of sunflowers under a clear blue sky, handheld camera style, sunny lighting
A robot walking through a deserted cyberpunk city, glowing billboards flickering, camera panning slowly
A futuristic battle between drones in a dystopian wasteland, fast-paced, intense lighting, wide-angle view
A lion walking across the savanna with dust rising behind, golden hour, documentary-style lensing
A female spy in a black leather suit escaping through neon-lit alleyways at night, handheld camera, cinematic tension
A group of dancers performing hip-hop choreography in an urban plaza, flashing lights, multiple camera angles
A soldier crawling through a war-torn trench under fire, gritty textures, cinematic war footage look
PixVerse V4.5 Text-to-Video is a high-quality text-to-video generation model with support for resolutions up to Full HD 1080p. Generate detailed, cinematic videos from text descriptions with flexible aspect ratios and multiple resolution options.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video you want to generate. |
| aspect_ratio | Yes | Output aspect ratio: 16:9, 4:3, 1:1, 3:4, 9:16. |
| resolution | Yes | Output resolution: 360p, 540p, 720p, 1080p. |
| duration | No | Video length: 5 or 8 seconds (default: 5). |
| negative_prompt | No | Elements to avoid in the output. |
| seed | No | Set for reproducibility; leave empty for random. |
| Resolution | Best For |
|---|---|
| 360p | Quick previews, drafts, low-bandwidth use |
| 540p | Social media, balanced quality and speed |
| 720p | HD output, general professional use |
| 1080p | Full HD, premium quality, final delivery |
| Aspect Ratio | Best For |
|---|---|
| 16:9 | YouTube, widescreen displays |
| 4:3 | Classic format, presentations |
| 1:1 | Instagram posts, social media squares |
| 3:4 | Portrait photos, Pinterest |
| 9:16 | TikTok, Instagram Stories, Reels |
| Resolution | 5 seconds | 8 seconds |
|---|---|---|
| 360p | $0.25 | $0.50 |
| 540p | $0.25 | $0.50 |
| 720p | $0.35 | $0.70 |
| 1080p | $0.70 | $1.40 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pixverse/pixverse-v4.5-t2v with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Pixverse v4.5 T2v below.
set -euo pipefail
: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"
REQUEST_BODY=$(cat <<'JSON'
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": 5
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/pixverse/pixverse-v4.5-t2v" \
-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-v4.5-t2v";
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 ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": 5
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
`https://api.wavespeed.ai/api/v3/predictions/${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",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": 5
}
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-v4.5-t2v", 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 v4.5 T2v is a Pixverse model for video generation, exposed as a REST API on WaveSpeedAI. Pixverse v4.5 turns text prompts into high-quality videos with multiple resolutions, aspect ratios, and motion modes. Ready-to-use REST inference API, best performance, no coldstarts, 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-v4.5-t2v.
Pixverse v4.5 T2v starts at $0.25 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`, `aspect_ratio`, `resolution`, `duration`, `seed`, `negative_prompt`. 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-v4.5-t2v.
Median end-to-end generation time on WaveSpeedAI is around 64 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.