
Cinema-grade video model for action and effects work, from text, images, first and last frames, or references, with native synchronized audio.
Cinema-grade video model for action and effects work, from text, images, first and last frames, or references, with native synchronized audio.
pixverse-c1/v1/videos/generationspixverse/c1Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Pixverse C1 runs through POST /v1/videos/generations. The request returns a job_id right away; poll GET /v1/jobs/{job_id} until the job completes and read the output URLs from the result. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/videos/generations \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "pixverse-c1",
"prompt": "Describe what you want Pixverse C1 to generate."
}'curl https://api.empiriolabs.ai/v1/jobs/JOB_ID \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY"import requests
response = requests.post(
"https://api.empiriolabs.ai/v1/videos/generations",
headers={"Authorization": "Bearer YOUR_EMPIRIOLABS_API_KEY"},
json={
"model": "pixverse-c1",
"prompt": "Describe what you want Pixverse C1 to generate.",
},
)
job = response.json()
# Generation runs as an async job. Poll until it completes.
import time
while True:
status = requests.get(
f"https://api.empiriolabs.ai/v1/jobs/{job['job_id']}",
headers={"Authorization": "Bearer YOUR_EMPIRIOLABS_API_KEY"},
).json()
if status.get("status") in ("completed", "failed"):
print(status)
break
time.sleep(5)Request parameters supported by the Pixverse C1 API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| prompt | string | - | - | Scene description, up to 2048 characters. In reference mode you can address a named reference inline as @name followed by a space. |
| mode | enum | auto | auto, t2v, i2v, transition, reference | How your inputs are used. auto detects it from what you attach. t2v is text to video. i2v animates one image. transition interpolates between a first and last frame.... |
| resolution | enum | 720p | 360p, 540p, 720p, 1080p | Output resolution. Higher resolutions bill at a higher per-second rate. |
| aspect_ratio | enum | 16:9 | 16:9, 4:3, 1:1, 3:4, 9:16, 2:3, 3:2, 21:9 | Output aspect ratio. Used by text-to-video and reference modes. Image-driven modes follow the source image instead. |
| duration | number | 5 | 1 to 15 | Clip length in seconds. |
| generate_audio_switch | boolean | false | - | Generate native synchronized audio with the video. Bills at the higher with-audio rate for the chosen resolution. |
| seed | number | - | 0 to 2147483647 | Reproducibility seed. The same seed with the same inputs returns a similar result. |
| reference_names | string | - | - | Comma-separated names for the attached reference images, in order, so the prompt can address them as @name. |
| image | string | - | - | Source or first-frame image URL. |
| image_end | string | - | - | Last-frame image URL for transition mode. |
PixVerse C1 is the cinematic tier, tuned for physically grounded character motion, action choreography and effects work, with automatic storyboarding from the prompt.
C1 does not support clip extension. Use PixVerse V6 for that.
On EmpirioLabs, Pixverse C1 is billed pay as you go: Standard 360p no audio $0.12 per second; Standard 360p with audio $0.16 per second; Standard 540p no audio $0.16 per second. The live rate card on this page always matches what the API charges.
Pixverse C1 is served through POST /v1/videos/generations on api.empiriolabs.ai with standard bearer-token authentication.
Yes. The EmpirioLabs playground runs Pixverse C1 in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.