Pixverse v4.5 Fast 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.
Inattivo
$0.5per esecuzione·~20 / $10
A girl with glowing wings flying through a purple dreamscape filled with floating crystals, magical atmosphere, fantasy score
A surfer riding a massive wave in slow motion, water splashes sparkling in the sunlight
A medieval knight standing atop a cliff with a sword, wind blowing his cape, sunrise over the valley below
A wizard casting spells inside an ancient library, books flying, golden particles swirling, soft lighting
A convertible driving along the Amalfi coast, ocean breeze, drone tracking shot, bright and crisp look
A fashion model walking through a Tokyo crosswalk in slow motion, vibrant outfits, fast-paced city life
A couple laughing on a gondola ride through Venice, soft focus, warm tones, cinematic romance
A female boxer training in a gritty gym, sweat flying in slow motion as she punches the bag, cinematic lighting
A couple sitting on a rooftop under the stars, warm lighting, close-up smiles, ambient city sounds
A father and daughter flying a kite on a hill at sunset, golden hour tones, emotional slow motion
PixVerse V4.5 Text-to-Video Fast is a versatile text-to-video generation model optimized for speed. Generate high-quality videos from text descriptions with multiple resolution options — from quick 360p previews to crisp 720p HD output.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the video you want to generate. |
| aspect_ratio | Yes | Output aspect ratio: 16:9, 9:16, 1:1, etc. |
| resolution | Yes | Output resolution: 360p, 540p, 720p. |
| duration | No | Video length: 5 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, final delivery, professional use |
| Resolution | 5 seconds |
|---|---|
| 360p | $0.50 |
| 540p | $0.50 |
| 720p | $0.70 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/pixverse/pixverse-v4.5-t2v-fast 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 Fast below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/pixverse/pixverse-v4.5-t2v-fast" \
-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-fast", {
"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-fast",
{
"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 Fast is a Pixverse model for video generation, exposed as a REST API on WaveSpeedAI. Pixverse v4.5 Fast 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-fast.
Pixverse v4.5 T2v Fast starts at $0.50 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-fast.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
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.