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 image_to_video(sessionid, image_uri, prompt, width=1536, height=1536, duration_ms=5000, resolution="720p", model="dreamina_ic_generate_video_model_vgfm_3.0_fast"): """ 首帧生视频 - 基于图片生成视频

Args:
    sessionid: 登录 sessionid
    image_uri: 首帧图片 URI
    prompt: 视频运动描述
    width: 图片宽度
    height: 图片高度
    duration_ms: 视频时长毫秒 (3000-10000)
    resolution: 分辨率 "720p" 或 "1080p"
    model: 模型名称
"""
uri = "/mweb/v1/aigc_draft/generate"
sign, device_time = generate_sign(uri)

component_id = str(uuid.uuid4())
submit_id = str(uuid.uuid4())
seed = random.randint(1000000000, 9999999999)

aspect_ratio = f"{width}:{height}"
if width == height:
    aspect_ratio = "1:1"
elif width > height:
    aspect_ratio = "16:9"
else:
    aspect_ratio = "9:16"

draft_content = {
    "type": "draft",
    "id": str(uuid.uuid4()),
    "min_version": "3.2.5",
    "min_features": [],
    "is_from_tsn": True,
    "version": "3.3.8",
    "main_component_id": component_id,
    "component_list": [{
        "type": "video_base_component",
        "id": component_id,
        "min_version": "1.0.0",
        "aigc_mode": "workbench",
        "metadata": {
            "type": "",
            "id": str(uuid.uuid4()),
            "created_platform": 3,
            "created_time_in_ms": str(int(time.time() * 1000))
        },
        "generate_type": "gen_video",
        "abilities": {
            "type": "",
            "id": str(uuid.uuid4()),
            "gen_video": {
                "type": "",
                "id": str(uuid.uuid4()),
                "text_to_video_params": {
                    "type": "",
                    "id": str(uuid.uuid4()),
                    "video_gen_inputs": [{
                        "type": "",
                        "id": str(uuid.uuid4()),
                        "min_version": "3.0.5",
                        "prompt": prompt,
                        "first_frame_image": {
                            "type": "image",
                            "id": str(uuid.uuid4()),
                            "source_from": "upload",
                            "platform_type": 1,
                            "image_uri": image_uri,
                            "width": width,
                            "height": height,
                            "uri": image_uri
                        },
                        "video_mode": 2,
                        "fps": 24,
                        "duration_ms": duration_ms,
                        "resolution": resolution,
                        "idip_meta_list": []
                    }],
                    "video_aspect_ratio": aspect_ratio,
                    "seed": seed,
                    "model_req_key": model,
                    "priority": 0
                }
            }
        },
        "process_type": 1
    }]
}

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": {
        "root_model": model,
        "m_video_commerce_info": {
            "benefit_type": "basic_video_operation_vgfm_v_three",
            "resource_id": "generate_video",
            "resource_id_type": "str",
            "resource_sub_type": "aigc"
        }
    },
    "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 | 首帧图片 URI |
| prompt | string | 是 | 视频运动描述 |
| duration_ms | int | 否 | 时长毫秒 3000-10000，默认 5000 |
| resolution | string | 否 | 分辨率 720p/1080p，默认 720p |
| model | string | 否 | 模型名称，默认 vgfm_3.0_fast |

## 模型选项
| 模型 | 说明 |
|------|------|
| `dreamina_ic_generate_video_model_vgfm_3.0_fast` | 视频 3.0 Fast (推荐) |
| `dreamina_ic_generate_video_model_vgfm_3.0` | 视频 3.0 标准版 |

## 关键参数
- **generate_type**: `gen_video`
- **gen_type**: `10`
- **video_mode**: `2` (首帧模式)
- **fps**: `24`

## 描述要点
- **镜头运动**：推拉、摇移、跟随、升降、变焦
- **主体动作**：自然连续，幅度适中
- **背景动态**：风吹、光影变化、人群流动
- 镜头需遵循首帧角度

## 使用流程
1. 上传首帧图片获取 `image_uri`
2. 调用图生视频 API
3. 轮询查询结果 (视频生成较慢，建议 10 秒间隔)
4. 下载视频文件

dreamina-video-first-frame

首帧生视频工具

API 端点

Python 示例

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