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.
待機中
$0.251回あたり·~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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Pixverse v4.5 T2v below.
# Submit the prediction
curl -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 '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": 5,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("pixverse/pixverse-v4.5-t2v", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": 5,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"pixverse/pixverse-v4.5-t2v",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "16:9",
"resolution": "540p",
"duration": 5,
"negative_prompt": "blurry, low quality, distorted",
"seed": 0
}
)
print(output["outputs"][0]) # → URL of the generated outputPixverse 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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. 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.
Average end-to-end generation time on WaveSpeedAI is around 65 seconds per request — measured across recent runs. Queue time scales 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.