
Multimodal video model supporting T2V, I2V, video editing, and reference-to-video, with high-fidelity output from text, image, or video inputs.
Multimodal video model supporting T2V, I2V, video editing, and reference-to-video, with high-fidelity output from text, image, or video inputs.
wan-2-7POST /v1/videos/generationsLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Wan 2.7 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": "wan-2-7",
"prompt": "Describe what you want Wan 2.7 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": "wan-2-7",
"prompt": "Describe what you want Wan 2.7 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 Wan 2.7 API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| prompt | string | - | - | Scene description. |
| mode | enum | auto | auto, t2v, i2v, videoedit, r2v | t2v: text-to-video. i2v: animate the attached image. videoedit: edit the attached video. r2v: reference-to-video. |
| resolution | enum | 1080p | 720p, 1080p | Output resolution. Larger = higher fidelity but slower / more expensive. |
| duration | number | 5 | 2 to 15 | Clip length in seconds. |
| aspect_ratio | enum | - | 16:9, 9:16, 1:1, 4:3, 3:4 | Optional. If omitted, the model picks based on input. |
| image | string | - | - | Reference image URL. Required for i2v / r2v / videoedit. |
| video | string | - | - | Reference video URL. Required for videoedit / r2v. |
| negative_prompt | string | - | - | What to avoid. |
| seed | number | - | - | Reproducibility seed. |
| audio_setting | enum | auto | auto, origin | auto: generate native audio. origin: keep audio from the reference video (videoedit/r2v only). |
| prompt_extend | boolean | true | - | Let DashScope rewrite the prompt for better results. |
Generation can take 30+ minutes. Modes auto-detected from attachments — or override with the mode parameter.
On EmpirioLabs, Wan 2.7 is billed pay as you go: All Modes 720P $0.10 per second; All Modes 1080P $0.150 per second. The live rate card on this page always matches what the API charges.
Wan 2.7 is served through POST /v1/videos/generations on api.empiriolabs.ai with standard bearer-token authentication.
Yes. The EmpirioLabs playground runs Wan 2.7 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.
Explore our models, or contact us about business inquiries, custom deployments, or anything else.