
Vídeo estável Infinity 2.0 Pro na WAN 2.2: estende imagens paradas em vídeo teoricamente infinito, mantendo IDs de caracteres consistentes.
Vídeo estável Infinity 2.0 Pro na WAN 2.2: estende imagens paradas em vídeo teoricamente infinito, mantendo IDs de caracteres consistentes.
Também conhecido como VITA-Group / EPFL SVI 2.0 Pro, SVI-2.0-Pro, svi-2-0-pro
svi-2-0-proPOST /v1/videos/generationsLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
SVI 2.0 Pro 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": "svi-2-0-pro",
"prompt": "Describe what you want SVI 2.0 Pro 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": "svi-2-0-pro",
"prompt": "Describe what you want SVI 2.0 Pro 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 SVI 2.0 Pro API on EmpirioLabs. Defaults apply when a field is omitted.
| Parâmetro | Tipo | Padrão | Intervalo / valores | Descrição |
|---|---|---|---|---|
| resolution | enum | 832x480 | 832x480, 480x832, 720x1280, 1280x720 | 480p is fast; 720p is slower but sharper. |
| duration | number | 18 | 18 to 121.5 | Estimated clip length in seconds. |
| cfg | number | 1 | 1 to 2 | Prompt adherence strength. |
| negative_prompt | string | vibrant tone, overexposed, static, blurry details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, still picture, messy background, three legs, background crowd, walking backwards | - | Text describing what to avoid. |
| t2v_quality | enum | quality | fast, quality | Text-to-video pipeline tier. 'quality' uses the Wan 2.2 plus reference image model for higher fidelity; 'fast' uses the flash model for cheaper, quicker generations.... |
Teoricamente vídeo de duração infinita com ID de caráter consistente. A imagem para vídeo normalmente produz resultados superiores a text-to-video. Constrangimentos - Geração pode levar 45+ minutos para vídeos longos - Para melhor movimento: descrever ações consecutivas por segmento em seu prompt Formatos de imagem - jpg, jpeg, png, webp, heic, heif, bmp, tiff, tif Modo multi-ceno - Ao descrever várias cenas em um prompt, o CFG inferior (1.0-1.3) dá ao modelo mais liberdade para interpretar transições distintas de cena - Levante CFG (1.5-2.0) quando cada cena deve seguir o prompt literalmente
On EmpirioLabs, SVI 2.0 Pro is billed pay as you go: Vídeo 480p $0.057 por segundo; Vídeo 720p $0.17 por segundo; T2V Rápido $0.065 taxa adicional. The live rate card on this page always matches what the API charges.
SVI 2.0 Pro is served through POST /v1/videos/generations on api.empiriolabs.ai with standard bearer-token authentication.
Yes. The EmpirioLabs playground runs SVI 2.0 Pro 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.