def generate_sign(uri_path): device_time = int(time.time()) sign_str = f"9e2c|{uri_path[-7:]}|7|5.8.0|{device_time}||11ac" sign = hashlib.md5(sign_str.encode()).hexdigest() return sign, device_time

def super_resolution(sessionid, image_uri, resolution_type="4k", detail_strength=0.5): """ 智能超清 - 将图片放大到 4K 分辨率

Args:
    sessionid: 登录 sessionid
    image_uri: 输入图片 URI (通过 upload_image 获取)
    resolution_type: "2k" 或 "4k"，默认 "4k"
    detail_strength: 细节生成程度 0-1，默认 0.5
"""
uri = "/mweb/v1/aigc_draft/generate"
sign, device_time = generate_sign(uri)

component_id = str(uuid.uuid4())
submit_id = str(uuid.uuid4())

draft_content = {
    "type": "draft",
    "id": str(uuid.uuid4()),
    "min_version": "3.2.8",
    "min_features": ["AIGC_GenerateType_ProHD"],
    "is_from_tsn": True,
    "version": "3.3.8",
    "main_component_id": component_id,
    "component_list": [{
        "type": "image_base_component",
        "id": component_id,
        "min_version": "3.0.2",
        "aigc_mode": "workbench",
        "metadata": {
            "type": "",
            "id": str(uuid.uuid4()),
            "created_platform": 3,
            "created_time_in_ms": str(int(time.time() * 1000))
        },
        "generate_type": "pro_hd",
        "abilities": {
            "type": "",
            "id": str(uuid.uuid4()),
            "pro_hd": {
                "type": "",
                "id": str(uuid.uuid4()),
                "resolution_type": resolution_type,
                "hd_scene_type": "auto",
                "original_image_strength": 0.65,
                "detail_strength": detail_strength,
                "postedit_param": {
                    "type": "",
                    "id": str(uuid.uuid4()),
                    "generate_type": 35,
                    "origin_image": {
                        "type": "image",
                        "id": str(uuid.uuid4()),
                        "source_from": "upload",
                        "platform_type": 1,
                        "image_uri": image_uri,
                        "uri": image_uri
                    }
                }
            }
        }
    }]
}

headers = {
    "Content-Type": "application/json",
    "Appid": "513695",
    "Appvr": "5.8.0",
    "Pf": "7",
    "Origin": "https://jimeng.jianying.com",
    "Referer": "https://jimeng.jianying.com",
    "Cookie": f"sessionid={sessionid}",
    "Device-Time": str(device_time),
    "Sign": sign,
    "Sign-Ver": "1"
}

data = {
    "extend": {},
    "submit_id": submit_id,
    "draft_content": json.dumps(draft_content),
    "http_common_info": {"aid": 513695}
}

resp = requests.post(
    f"https://jimeng.jianying.com{uri}",
    params={
        "aid": 513695, 
        "device_platform": "web", 
        "region": "cn",
        "da_version": "3.3.8",
        "web_version": "7.5.0"
    },
    headers=headers,
    json=data
)
return resp.json()


## 参数说明
| 字段 | 类型 | 必填 | 说明 |
|------|------|------|------|
| image_uri | string | 是 | 输入图片 URI (通过 upload_image 获取) |
| resolution_type | string | 否 | `2k` 或 `4k`，默认 `4k` |
| detail_strength | float | 否 | 细节生成程度 0-1，默认 0.5 |

## 关键参数
- **generate_type**: `pro_hd`
- **gen_type**: `35`
- **hd_scene_type**: `auto` (自动选择场景)

## 使用流程
1. 上传图片获取 `image_uri` (见 dreamina-upload-image)
2. 调用智能超清 API
3. 轮询查询结果 (见 dreamina-query-result)
4. 下载高清图片

dreamina-super-resolution

图片智能超清工具

API 端点

Python 示例

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