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 first_end_frame_to_video(sessionid, first_image_uri, last_image_uri, prompt="", ratio="16:9", duration=5): uri = "/mweb/v1/aigc_draft/generate" sign, device_time = generate_sign(uri)

RATIO_VALUES = {"16:9": 1, "9:16": 6, "1:1": 8, "4:3": 3, "3:4": 4}

component_id = str(uuid.uuid4())
image_ratio = RATIO_VALUES.get(ratio, 1)

draft_content = {
    "type": "draft",
    "id": str(uuid.uuid4()),
    "min_version": "3.3.8",
    "is_from_tsn": True,
    "version": "3.3.8",
    "main_component_id": component_id,
    "component_list": [{
        "type": "video_base_component",
        "id": component_id,
        "min_version": "3.3.8",
        "metadata": {
            "type": "",
            "id": str(uuid.uuid4()),
            "created_platform": 3,
            "created_time_in_ms": int(time.time() * 1000)
        },
        "generate_type": "start_end_to_video",
        "aigc_mode": "workbench",
        "abilities": {
            "type": "",
            "id": str(uuid.uuid4()),
            "start_end_to_video": {
                "type": "",
                "id": str(uuid.uuid4()),
                "core_param": {
                    "type": "",
                    "id": str(uuid.uuid4()),
                    "prompt": prompt,
                    "video_ratio": image_ratio,
                    "duration": duration * 1000,
                    "resolution": "1080p"
                },
                "first_frame_image": {
                    "type": "image",
                    "id": str(uuid.uuid4()),
                    "source_from": "upload",
                    "platform_type": 1,
                    "image_uri": first_image_uri,
                    "uri": first_image_uri
                },
                "last_frame_image": {
                    "type": "image",
                    "id": str(uuid.uuid4()),
                    "source_from": "upload",
                    "platform_type": 1,
                    "image_uri": last_image_uri,
                    "uri": last_image_uri
                },
                "history_option": {"type": "", "id": str(uuid.uuid4())}
            }
        }
    }]
}

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": str(uuid.uuid4()),
    "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"},
    headers=headers,
    json=data
)
return resp.json()


## 参数说明
| 字段 | 类型 | 必填 | 说明 |
|------|------|------|------|
| first_image_uri | string | 是 | 首帧图片 URI |
| last_image_uri | string | 是 | 尾帧图片 URI |
| prompt | string | 否 | 变化描述 |
| ratio | string | 否 | 视频比例，默认 16:9 |
| duration | int | 否 | 时长秒数 3-10，默认 5 |

## 变化类型描述
- **空间变换**：第一人称视角、俯冲镜头、360°环绕、稳定器跟拍
- **身份变化**：镜头推进、烟雾缭绕、形态渐变
- **角色动态**：跟随主体运动、动作连贯

## 注意
- 着重描述**画面变化**，无需描述原始图片内容
- 首尾帧需要有视觉上的连贯性

## 使用流程
1. 上传首帧和尾帧图片获取 `image_uri`
2. 调用首尾帧生视频 API
3. 轮询查询结果
4. 下载视频文件

dreamina-video-first-end-frame

首尾帧生视频工具

API 端点

Python 示例

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