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OmniHuman

OmniHuman 模型通过一个统一的异步任务 API 调用。用 POST /api/generate 发起任务，再轮询 GET /api/generate/{taskId} 直到完成。本系列提供 3 个端点。

概览

每个端点共享相同的外层结构 —— 只有 model 和 input 字段不同。可在模型市场的 playground 中运行任意一个。

认证

在 /api-keys 创建 API 密钥，然后作为 Bearer token 发送。已登录时从浏览器发起的请求也可通过会话 cookie 生效。

Authorization: Bearer <YOUR_API_KEY>

创建任务

POST
POST https://97ai.97claude.com/api/generate

请求体：{ "model": "<slug>", "input": { … } }

响应：{ "taskId": "<id>", "state": "waiting" }

查询结果

GET
GET https://97ai.97claude.com/api/generate/<taskId>

响应：{ "taskId", "state": "waiting" | "success" | "fail", "resultUrls": [ … ], "creditsConsumed", "failMsg", "balance" }

异步
创建任务返回 200 只表示任务已被接受 —— 并非已完成。请轮询此端点，直到 state 变为 success 或 fail。失败任务不计费。

端点

模型任务model slug
OmniHuman 1.5Lip Syncomnihuman-1-5
OmniHuman 1.5Lip Syncomnihuman-1-5/human-identification
OmniHuman 1.5Lip Syncomnihuman-1-5/subject-detection

OmniHuman 1.5 · Lip Sync

POSTLip Syncomnihuman-1-5
input 字段
promptstring必填

Text prompt describing the desired output.

image_urlsstring[]必填

One or more source image URLs to condition on.

示例
cURL
curl -X POST https://97ai.97claude.com/api/generate \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "omnihuman-1-5",
    "input": { "prompt": "a red panda", "image_urls": ["https://example.com/in.jpg"] }
  }'

OmniHuman 1.5 · Lip Sync

POSTLip Syncomnihuman-1-5/human-identification
input 字段
promptstring必填

Text prompt describing the desired output.

image_urlsstring[]必填

One or more source image URLs to condition on.

示例
cURL
curl -X POST https://97ai.97claude.com/api/generate \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "omnihuman-1-5/human-identification",
    "input": { "prompt": "a red panda", "image_urls": ["https://example.com/in.jpg"] }
  }'

OmniHuman 1.5 · Lip Sync

POSTLip Syncomnihuman-1-5/subject-detection
input 字段
promptstring必填

Text prompt describing the desired output.

image_urlsstring[]必填

One or more source image URLs to condition on.

示例
cURL
curl -X POST https://97ai.97claude.com/api/generate \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "omnihuman-1-5/subject-detection",
    "input": { "prompt": "a red panda", "image_urls": ["https://example.com/in.jpg"] }
  }'