Cosmos Predict 2.5 Text-to-Video generates video from text prompts using NVIDIA's 2B Cosmos Post-Trained Model. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Siap
$0.3per run·~33 / $10
A woman walking along a Paris street holding an umbrella, autumn leaves falling around her.
Cosmos Predict 2.5 Text-to-Video generates video from text prompts using NVIDIA's 2B Cosmos Post-Trained Model. Describe a scene in natural language — the model creates smooth, cinematic video clips with realistic motion, lighting, and atmospheric effects.
NVIDIA Cosmos architecture Powered by NVIDIA's 2B parameter Cosmos Post-Trained Model for high-quality video generation.
Pure text-to-video Generate videos from text descriptions alone — no reference images required.
Cinematic quality Produces realistic scenes with natural lighting, motion, and environmental effects.
Prompt Enhancer Built-in tool to automatically improve your scene descriptions.
Simple pricing Flat $0.25 per video, no complex calculations.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired scene and motion |
| Output | Cost |
|---|---|
| Per video | $0.25 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/cosmos-predict-2.5/text-to-video 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 Cosmos Predict 2.5 Text To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/cosmos-predict-2.5/text-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light"
}'
# 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("wavespeed-ai/cosmos-predict-2.5/text-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/cosmos-predict-2.5/text-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light"
}
)
print(output["outputs"][0]) # → URL of the generated outputCosmos Predict 2.5 Text To Video is a WaveSpeedAI model for video generation, exposed as a REST API on WaveSpeedAI. Cosmos Predict 2.5 Text-to-Video generates video from text prompts using NVIDIA's 2B Cosmos Post-Trained Model. 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 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/wavespeed-ai/cosmos-predict-2.5-text-to-video.
Cosmos Predict 2.5 Text To Video starts at $0.30 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`. 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/wavespeed-ai/cosmos-predict-2.5-text-to-video.
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 (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.