feat(video): 集成可灵AI多图参考生视频生成服务
- 替换视频生成服务为可灵AI多图参考生视频API，支持1-4张多视角图片输入 - 调整图片拼接逻辑，生成横向长图传入即梦API备用 - 实现基于JWT认证的可灵API请求和轮询机制，支持高品质1:1正方形视频生成 - 在设计详情页新增视频展示区域及生成、重新生成和下载视频操作 - 更新后台系统配置，支持配置可灵AI Access Key和Secret Key - 删除即梦视频相关配置及逻辑，所有视频生成功能切换到可灵AI实现 - 优化视频生成提示词，提升视频质感和展示效果 - 增加视频文件本地存储和路径管理，保证视频可访问和下载 - 前端增加视频生成状态管理和用户界面交互提示 - 后端添加PyJWT依赖，支持JWT认证流程
This commit is contained in:
@@ -13,7 +13,7 @@ from ..models import User, Design, DesignImage
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from ..schemas import DesignCreate, DesignResponse, DesignListResponse, DesignImageResponse
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from ..utils.deps import get_current_user
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from ..services import design_service
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from ..services import ai_video_generator
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from ..services import ai_video_generator_kling
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from ..services import ai_3d_generator
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logger = logging.getLogger(__name__)
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@@ -255,7 +255,7 @@ async def generate_video(
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):
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"""
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为设计生成 360 度旋转展示视频
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取设计的多视角图片，通过火山引擎即梦 3.0 Pro 生成视频
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取设计的多视角图片，通过可灵 AI 多图参考生视频 API 生成视频
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"""
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design = design_service.get_design_by_id(db=db, design_id=design_id, user_id=current_user.id)
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if not design:
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@@ -285,7 +285,7 @@ async def generate_video(
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logger.info(f"设计 {design_id} 生成视频，共收集到 {len(image_urls)} 张图片")
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try:
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video_url = await ai_video_generator.generate_video(image_urls)
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video_url = await ai_video_generator_kling.generate_video(image_urls)
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design.video_url = video_url
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db.commit()
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db.refresh(design)
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@@ -152,12 +152,11 @@ def _get_volc_keys() -> tuple:
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async def _merge_images_to_base64(image_urls: List[str]) -> str:
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"""
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下载多张图片并拼接为一张网格图，返回 base64 编码
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下载多张图片并横向拼接为一张长图，返回 base64 编码
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拼接策略:
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- 1张: 直接使用
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- 2张: 1×2 横向拼接
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- 3~4张: 2×2 网格拼接
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- 多张: 横向一字排开拼接（展示各角度全貌）
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"""
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# 下载所有图片
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images = []
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@@ -179,36 +178,43 @@ async def _merge_images_to_base64(image_urls: List[str]) -> str:
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if len(images) == 1:
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merged = images[0]
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else:
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# 统一尺寸到最大尺寸
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max_w = max(img.width for img in images)
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max_h = max(img.height for img in images)
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# 统一高度，横向拼接
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target_h = max(img.height for img in images)
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resized = []
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for img in images:
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if img.height != target_h:
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ratio = target_h / img.height
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new_w = int(img.width * ratio)
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img = img.resize((new_w, target_h), Image.LANCZOS)
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resized.append(img)
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# 计算网格布局
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n = len(images)
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if n == 2:
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cols, rows = 2, 1
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else:
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cols = 2
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rows = math.ceil(n / cols)
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total_w = sum(img.width for img in resized)
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merged = Image.new("RGB", (total_w, target_h), (255, 255, 255))
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x_offset = 0
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for img in resized:
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merged.paste(img, (x_offset, 0))
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x_offset += img.width
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# 创建拼接画布（白色背景）
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canvas_w = cols * max_w
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canvas_h = rows * max_h
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merged = Image.new("RGB", (canvas_w, canvas_h), (255, 255, 255))
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logger.info(f"图片横向拼接完成: {len(resized)}张 -> 尺寸={merged.size}")
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for idx, img in enumerate(images):
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r = idx // cols
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c = idx % cols
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# 居中放置
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x = c * max_w + (max_w - img.width) // 2
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y = r * max_h + (max_h - img.height) // 2
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merged.paste(img, (x, y))
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# 压缩图片尺寸（即梦API对请求体大小有限制）
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max_width = 1920
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if merged.width > max_width:
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ratio = max_width / merged.width
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new_h = int(merged.height * ratio)
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merged = merged.resize((max_width, new_h), Image.LANCZOS)
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logger.info(f"拼接图已压缩至: {merged.size}")
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logger.info(f"图片拼接完成: {n}张 -> {cols}x{rows}网格, 尺寸={merged.size}")
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# 转 base64
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# 转 base64，控制质量确保 base64 不会过大
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buf = io.BytesIO()
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merged.save(buf, format="JPEG", quality=90)
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quality = 75
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merged.save(buf, format="JPEG", quality=quality)
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# 如果超过 5MB，进一步压缩
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while buf.tell() > 5 * 1024 * 1024 and quality > 30:
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buf = io.BytesIO()
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quality -= 10
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merged.save(buf, format="JPEG", quality=quality)
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logger.info(f"图片超过 5MB，降低质量到 {quality}，大小={buf.tell()} bytes")
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b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
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logger.info(f"拼接图 base64 长度: {len(b64)}")
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return b64
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@@ -222,44 +228,56 @@ async def generate_video(
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"""
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调用即梦3.0 Pro 生成 360 度旋转展示视频
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流程:
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1. 将多视角图片横向拼接成一张长图
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2. 以 base64 方式传入即梦API
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3. 使用强化提示词描述单品展示
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Args:
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image_urls: 多视角图片 URL 列表（取第一张作为首帧）
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image_urls: 多视角图片 URL 列表
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prompt: 视频生成提示词
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duration_seconds: 预留参数（即梦目前固定帧数）
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duration_seconds: 预留参数
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Returns:
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生成的视频远程 URL
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Raises:
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RuntimeError: 视频生成失败
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生成的视频本地 URL
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"""
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access_key, secret_key = _get_volc_keys()
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logger.info(f"传入视频生成的图片数量: {len(image_urls)}")
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# 即梦API只支持单张图片输入，取第一张（正面效果图）作为基准
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first_url = image_urls[0]
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logger.info(f"使用第一张图片生成视频: {first_url[:80]}...")
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# Step 0: 拼接多视角图片为横向长图，转 base64
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merged_b64 = await _merge_images_to_base64(image_urls)
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logger.info(f"多视角图片已拼接为长图，base64长度: {len(merged_b64)}")
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# 从配置读取默认 prompt
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# 从配置读取默认 prompt，如果没有则使用强化提示词
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if not prompt:
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prompt = get_config_value("VIDEO_PROMPT", "")
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if not prompt:
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prompt = (
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"玉雕作品在摄影棚内缓慢旋转360度展示全貌，"
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"专业珠宝摄影灯光，纯白色背景，平稳旋转，"
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"展示正面、侧面、背面各个角度，电影级画质"
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"参考图展示的是同一件精美玉雕工艺品的多个角度，"
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"请生成这一件玉雕作品在专业珠宝摄影棚内的展示视频。"
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"纯白色背景，柔和的珠宝摄影灯光，"
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"这一件玉石作品放在旋转展台上缓慢平稳地旋转360度，"
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"展现其温润的质感、细腻的雕刻纹理和通透的光泽，"
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"电影级画质，微距的细节感，平稳流畅的转台旋转，"
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"画面中只有一件玉雕作品"
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)
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# Step 1: 提交任务（只传第一张图片URL）
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task_id = await _submit_video_task(access_key, secret_key, first_url, prompt)
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logger.info(f"即梦视频生成任务已提交: task_id={task_id}")
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# Step 1: 提交任务（用 base64 拼接长图，失败则降级为第一张图片 URL）
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try:
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task_id = await _submit_video_task(access_key, secret_key, None, prompt, merged_b64)
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logger.info(f"即梦视频生成任务已提交(base64拼接图): task_id={task_id}")
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except Exception as e:
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logger.warning(f"base64 拼接图提交失败，降级为第一张图片URL: {e}")
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first_url = image_urls[0]
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task_id = await _submit_video_task(access_key, secret_key, first_url, prompt)
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logger.info(f"即梦视频生成任务已提交(单图URL): task_id={task_id}")
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# Step 2: 轮询等待结果
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remote_video_url = await _poll_video_result(access_key, secret_key, task_id)
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logger.info(f"即梦视频生成完成: {remote_video_url[:80]}...")
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# Step 3: 下载视频到本地存储（即梦URL有效期约 1 小时，必须保存到本地）
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# Step 3: 下载视频到本地存储
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local_path = await _download_video_to_local(remote_video_url)
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logger.info(f"视频已保存到本地: {local_path}")
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@@ -269,31 +287,43 @@ async def generate_video(
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async def _submit_video_task(
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access_key: str,
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secret_key: str,
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image_url: str,
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image_url: Optional[str],
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prompt: str,
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image_base64: Optional[str] = None,
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) -> str:
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"""提交图生视频任务到即梦3.0 Pro，使用单张图片URL"""
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"""提交图生视频任务到即梦3.0 Pro，支持 URL 或 base64 输入"""
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action = "CVSync2AsyncSubmitTask"
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logger.info(f"提交即梦视频任务，图片URL: {image_url[:80]}...")
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payload = {
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"req_key": REQ_KEY_I2V,
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"prompt": prompt,
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"image_urls": [image_url],
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"seed": -1,
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"frames": int(get_config_value("VIDEO_FRAMES", "121")),
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"aspect_ratio": "1:1", # 玉雕展示用正方形
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"aspect_ratio": "1:1",
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}
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# 优先使用 base64（拼接长图），否则用 URL
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if image_base64:
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payload["binary_data_base64"] = [image_base64]
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logger.info(f"使用 base64 拼接长图提交即梦视频任务，base64长度={len(image_base64)}")
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elif image_url:
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payload["image_urls"] = [image_url]
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logger.info(f"使用图片URL提交即梦视频任务: {image_url[:80]}...")
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else:
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raise RuntimeError("未提供图片输入")
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body = json.dumps(payload, ensure_ascii=False)
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headers = _build_signed_headers(access_key, secret_key, action, body)
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url = f"{VISUAL_API_URL}?Action={action}&Version={API_VERSION}"
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async with httpx.AsyncClient(timeout=SUBMIT_TIMEOUT) as client:
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# base64 数据量大，需要更长的超时时间
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timeout = 120 if image_base64 else SUBMIT_TIMEOUT
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async with httpx.AsyncClient(timeout=timeout) as client:
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resp = await client.post(url, content=body, headers=headers)
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if resp.status_code != 200:
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logger.error(f"即梦视频任务提交失败: status={resp.status_code}, body={resp.text[:500]}")
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error_body = resp.text[:1000]
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logger.error(f"即梦视频任务提交失败: status={resp.status_code}, body={error_body}")
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resp.raise_for_status()
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data = resp.json()
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276
backend/app/services/ai_video_generator_kling.py
Normal file
276
backend/app/services/ai_video_generator_kling.py
Normal file
@@ -0,0 +1,276 @@
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"""
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AI 视频生成服务 - 可灵（Kling）多图参考生视频
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使用可灵 AI 的多图参考生视频 API，原生支持传入 1-4 张参考图片
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AI 会理解为同一物体的多角度参考，生成单品旋转展示视频
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API 文档: https://app.klingai.com/cn/dev/document-api/apiReference/model/multiImageToVideo
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认证方式: JWT (Access Key + Secret Key)
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API 端点: https://api.klingai.com
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"""
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import asyncio
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import json
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import logging
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import time
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import uuid
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from pathlib import Path
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from typing import Optional, List
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import httpx
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import jwt
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from .config_service import get_config_value
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# 视频本地存储目录
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VIDEO_UPLOAD_DIR = Path(__file__).resolve().parent.parent.parent / "uploads" / "videos"
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VIDEO_UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
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logger = logging.getLogger(__name__)
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# 可灵 API 配置（中国区域名）
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KLING_API_BASE = "https://api-beijing.klingai.com"
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# 超时与轮询配置
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SUBMIT_TIMEOUT = 30
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POLL_TIMEOUT = 15
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MAX_POLL_ATTEMPTS = 120 # 约 10 分钟
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POLL_INTERVAL = 5
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# ============================================================
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# JWT 认证
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# ============================================================
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def _generate_jwt_token(access_key: str, secret_key: str) -> str:
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"""
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使用 Access Key 和 Secret Key 生成 JWT Token
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可灵 API 使用 JWT 认证，token 有效期 30 分钟
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"""
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now = int(time.time())
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headers = {
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"alg": "HS256",
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"typ": "JWT"
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}
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payload = {
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"iss": access_key,
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"exp": now + 1800, # 30 分钟过期
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"nbf": now - 5, # 允许 5 秒时钟偏差
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"iat": now, # 签发时间
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}
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token = jwt.encode(payload, secret_key, algorithm="HS256", headers=headers)
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return token
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def _get_kling_keys() -> tuple:
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"""获取可灵 Access Key 和 Secret Key"""
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access_key = get_config_value("KLING_ACCESS_KEY", "")
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secret_key = get_config_value("KLING_SECRET_KEY", "")
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if not access_key or not secret_key:
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raise RuntimeError(
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"未配置 KLING_ACCESS_KEY 或 KLING_SECRET_KEY，无法使用可灵视频生成。"
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"请在管理后台 系统配置 中添加可灵 AI 的 Access Key 和 Secret Key。"
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)
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return access_key, secret_key
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def _build_headers(access_key: str, secret_key: str) -> dict:
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"""构建带 JWT 认证的请求头"""
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token = _generate_jwt_token(access_key, secret_key)
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return {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {token}",
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}
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# ============================================================
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# 视频生成核心逻辑
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# ============================================================
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async def generate_video(
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image_urls: List[str],
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prompt: str = "",
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duration_seconds: int = 5,
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) -> str:
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"""
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调用可灵多图参考生视频 API，生成 360 度旋转展示视频
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核心优势：原生支持传入多张参考图（1-4张），
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AI 理解为同一物体的多角度参考，生成单品视频。
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Args:
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image_urls: 多视角图片 URL 列表（最多4张）
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prompt: 视频生成提示词
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duration_seconds: 视频时长（5 或 10 秒）
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Returns:
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生成的视频本地 URL
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"""
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access_key, secret_key = _get_kling_keys()
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logger.info(f"可灵视频生成，传入图片数量: {len(image_urls)}")
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# 可灵最多支持 4 张参考图
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if len(image_urls) > 4:
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image_urls = image_urls[:4]
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logger.info("图片数量超过4张，截取前4张")
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# 构建提示词
|
||||
if not prompt:
|
||||
prompt = get_config_value("VIDEO_PROMPT", "")
|
||||
if not prompt:
|
||||
prompt = (
|
||||
"精美玉雕工艺品在专业珠宝摄影棚内展示，"
|
||||
"纯白色背景，柔和的珠宝摄影灯光，"
|
||||
"玉石作品放在旋转展台上缓慢平稳地旋转360度，"
|
||||
"展示正面、侧面、背面全貌，"
|
||||
"展现玉石温润的质感、细腻的雕刻纹理和通透的光泽，"
|
||||
"电影级画质，微距细节感，平稳流畅的转台旋转"
|
||||
)
|
||||
|
||||
# 视频时长，仅支持 5 或 10
|
||||
duration = str(duration_seconds) if duration_seconds in (5, 10) else "5"
|
||||
|
||||
# Step 1: 提交任务
|
||||
task_id = await _submit_video_task(
|
||||
access_key, secret_key, image_urls, prompt, duration
|
||||
)
|
||||
logger.info(f"可灵视频生成任务已提交: task_id={task_id}")
|
||||
|
||||
# Step 2: 轮询等待结果
|
||||
remote_video_url = await _poll_video_result(access_key, secret_key, task_id)
|
||||
logger.info(f"可灵视频生成完成: {remote_video_url[:80]}...")
|
||||
|
||||
# Step 3: 下载视频到本地存储
|
||||
local_path = await _download_video_to_local(remote_video_url)
|
||||
logger.info(f"视频已保存到本地: {local_path}")
|
||||
|
||||
return local_path
|
||||
|
||||
|
||||
async def _submit_video_task(
|
||||
access_key: str,
|
||||
secret_key: str,
|
||||
image_urls: List[str],
|
||||
prompt: str,
|
||||
duration: str = "5",
|
||||
) -> str:
|
||||
"""提交多图参考生视频任务到可灵 API"""
|
||||
url = f"{KLING_API_BASE}/v1/videos/multi-image2video"
|
||||
|
||||
# 构建 image_list（每个元素是 {"image": "url"}）
|
||||
image_list = [{"image": img_url} for img_url in image_urls]
|
||||
|
||||
payload = {
|
||||
"model_name": "kling-v1-6",
|
||||
"image_list": image_list,
|
||||
"prompt": prompt,
|
||||
"mode": "pro", # 高品质模式
|
||||
"duration": duration, # 视频时长
|
||||
"aspect_ratio": "1:1", # 1:1 正方形
|
||||
}
|
||||
|
||||
headers = _build_headers(access_key, secret_key)
|
||||
body = json.dumps(payload, ensure_ascii=False)
|
||||
|
||||
logger.info(f"提交可灵视频任务: {len(image_urls)}张参考图, 时长={duration}s, 模式=pro")
|
||||
|
||||
async with httpx.AsyncClient(timeout=SUBMIT_TIMEOUT) as client:
|
||||
resp = await client.post(url, content=body, headers=headers)
|
||||
if resp.status_code not in (200, 201):
|
||||
error_body = resp.text[:1000]
|
||||
logger.error(f"可灵视频任务提交失败: status={resp.status_code}, body={error_body}")
|
||||
resp.raise_for_status()
|
||||
data = resp.json()
|
||||
|
||||
# 检查响应
|
||||
code = data.get("code", -1)
|
||||
if code != 0:
|
||||
msg = data.get("message", "未知错误")
|
||||
raise RuntimeError(f"可灵视频任务提交失败 (code={code}): {msg}")
|
||||
|
||||
task_id = data.get("data", {}).get("task_id")
|
||||
if not task_id:
|
||||
raise RuntimeError(f"可灵响应中未找到 task_id: {data}")
|
||||
|
||||
return task_id
|
||||
|
||||
|
||||
async def _poll_video_result(
|
||||
access_key: str,
|
||||
secret_key: str,
|
||||
task_id: str,
|
||||
) -> str:
|
||||
"""轮询可灵视频生成结果"""
|
||||
url = f"{KLING_API_BASE}/v1/videos/multi-image2video/{task_id}"
|
||||
|
||||
for attempt in range(1, MAX_POLL_ATTEMPTS + 1):
|
||||
await asyncio.sleep(POLL_INTERVAL)
|
||||
|
||||
# 每次轮询重新生成 JWT（避免过期）
|
||||
headers = _build_headers(access_key, secret_key)
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=POLL_TIMEOUT) as client:
|
||||
resp = await client.get(url, headers=headers)
|
||||
if resp.status_code != 200:
|
||||
logger.warning(
|
||||
f"轮询可灵视频结果失败 (attempt={attempt}): "
|
||||
f"status={resp.status_code}, body={resp.text[:300]}"
|
||||
)
|
||||
continue
|
||||
data = resp.json()
|
||||
except Exception as e:
|
||||
logger.warning(f"轮询可灵视频异常 (attempt={attempt}): {e}")
|
||||
continue
|
||||
|
||||
code = data.get("code", -1)
|
||||
if code != 0:
|
||||
msg = data.get("message", "未知错误")
|
||||
logger.warning(f"轮询可灵视频返回错误 (attempt={attempt}): code={code}, msg={msg}")
|
||||
continue
|
||||
|
||||
task_data = data.get("data", {})
|
||||
task_status = task_data.get("task_status", "")
|
||||
|
||||
if task_status == "succeed":
|
||||
# 从 task_result.videos 中提取视频 URL
|
||||
task_result = task_data.get("task_result", {})
|
||||
videos = task_result.get("videos", [])
|
||||
if videos and videos[0].get("url"):
|
||||
return videos[0]["url"]
|
||||
raise RuntimeError(f"可灵视频生成完成但未找到视频URL: {data}")
|
||||
|
||||
elif task_status == "failed":
|
||||
fail_msg = task_data.get("task_status_msg", "未知原因")
|
||||
raise RuntimeError(f"可灵视频生成失败: {fail_msg}")
|
||||
|
||||
else:
|
||||
# submitted / processing
|
||||
if attempt % 6 == 0:
|
||||
logger.info(
|
||||
f"可灵视频生成中... (attempt={attempt}, status={task_status})"
|
||||
)
|
||||
|
||||
raise RuntimeError(f"可灵视频生成超时: 轮询 {MAX_POLL_ATTEMPTS} 次后仍未完成")
|
||||
|
||||
|
||||
async def _download_video_to_local(remote_url: str) -> str:
|
||||
"""
|
||||
下载远程视频到本地 uploads/videos/ 目录
|
||||
|
||||
Returns:
|
||||
本地视频的 URL 路径，如 /uploads/videos/xxx.mp4
|
||||
"""
|
||||
filename = f"{uuid.uuid4().hex}.mp4"
|
||||
local_file = VIDEO_UPLOAD_DIR / filename
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=120, follow_redirects=True) as client:
|
||||
resp = await client.get(remote_url)
|
||||
resp.raise_for_status()
|
||||
local_file.write_bytes(resp.content)
|
||||
logger.info(f"视频下载完成: {len(resp.content)} 字节 -> {local_file}")
|
||||
except Exception as e:
|
||||
logger.error(f"视频下载失败: {e}")
|
||||
raise RuntimeError(f"视频下载失败: {e}")
|
||||
|
||||
return f"/uploads/videos/{filename}"
|
||||
@@ -13,3 +13,4 @@ Pillow==10.2.0
|
||||
pydantic[email]==2.6.1
|
||||
pydantic-settings==2.1.0
|
||||
httpx==0.27.0
|
||||
PyJWT==2.8.0
|
||||
|
||||
Binary file not shown.
BIN
backend/uploads/videos/6ed3f33421a44876b303c7671c1597d5.mp4
Normal file
BIN
backend/uploads/videos/6ed3f33421a44876b303c7671c1597d5.mp4
Normal file
Binary file not shown.
71
backend/uvicorn.log
Normal file
71
backend/uvicorn.log
Normal file
@@ -0,0 +1,71 @@
|
||||
INFO: Will watch for changes in these directories: ['/Users/changyoutongxue/开发-qoder/YuShiSheJi/backend']
|
||||
INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)
|
||||
INFO: Started reloader process [63566] using StatReload
|
||||
INFO: Started server process [63686]
|
||||
INFO: Waiting for application startup.
|
||||
INFO: Application startup complete.
|
||||
✅ 上传目录已准备: uploads
|
||||
INFO: 127.0.0.1:62589 - "POST /api/auth/login HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62593 - "GET /api/auth/me HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62599 - "GET /api/categories HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62605 - "GET /api/admin/dashboard HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62608 - "GET /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62786 - "GET / HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62786 - "GET /favicon.ico HTTP/1.1" 404 Not Found
|
||||
INFO: 127.0.0.1:62835 - "GET /api/auth/me HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62838 - "GET /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62913 - "GET /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:62982 - "GET /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63026 - "GET /api/auth/me HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63030 - "GET /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63052 - "PUT /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63055 - "GET /api/admin/configs HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63063 - "GET /api/admin/users?page=1&page_size=20 HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63072 - "GET /api/auth/me HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63075 - "GET /api/categories HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63079 - "GET /api/designs?page=1&page_size=20 HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63081 - "GET /uploads/designs/26.png HTTP/1.1" 304 Not Modified
|
||||
INFO: 127.0.0.1:63086 - "GET /api/designs/27 HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63088 - "GET /uploads/videos/f2e6c3eac03b485f8115e72a1d33b491.mp4 HTTP/1.1" 304 Not Modified
|
||||
INFO: 127.0.0.1:63091 - "GET /uploads/models/506909359d6c45fe9e43108ee7765a9a.glb HTTP/1.1" 304 Not Modified
|
||||
可灵视频任务提交失败: status=401, body={"code":1002,"message":"Auth failed","request_id":"CjyhVGikJMQAAAAAGOrdCQ","data":null}
|
||||
视频生成失败: Client error '401 ' for url 'https://api.klingai.com/v1/videos/multi-image2video'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401
|
||||
INFO: 127.0.0.1:63096 - "POST /api/designs/27/generate-video?force=true HTTP/1.1" 500 Internal Server Error
|
||||
WARNING: StatReload detected changes in 'app/services/ai_video_generator_kling.py'. Reloading...
|
||||
INFO: Shutting down
|
||||
INFO: Waiting for application shutdown.
|
||||
INFO: Application shutdown complete.
|
||||
INFO: Finished server process [63686]
|
||||
👋 应用已关闭
|
||||
INFO: Started server process [64167]
|
||||
INFO: Waiting for application startup.
|
||||
INFO: Application startup complete.
|
||||
✅ 上传目录已准备: uploads
|
||||
INFO: 127.0.0.1:63400 - "GET /api/auth/me HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63405 - "GET /api/categories HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63407 - "GET /api/designs/27 HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63409 - "GET /uploads/videos/f2e6c3eac03b485f8115e72a1d33b491.mp4 HTTP/1.1" 404 Not Found
|
||||
可灵视频任务提交失败: status=401, body={"code":1002,"message":"Auth failed","request_id":"CjMkpGikJkcAAAAAGOrbdA","data":null}
|
||||
视频生成失败: Client error '401 ' for url 'https://api.klingai.com/v1/videos/multi-image2video'
|
||||
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401
|
||||
INFO: 127.0.0.1:63412 - "POST /api/designs/27/generate-video?force=true HTTP/1.1" 500 Internal Server Error
|
||||
INFO: 127.0.0.1:63418 - "GET /uploads/videos/f2e6c3eac03b485f8115e72a1d33b491.mp4 HTTP/1.1" 404 Not Found
|
||||
WARNING: StatReload detected changes in 'app/services/ai_video_generator_kling.py'. Reloading...
|
||||
INFO: Shutting down
|
||||
INFO: Waiting for application shutdown.
|
||||
INFO: Application shutdown complete.
|
||||
INFO: Finished server process [64167]
|
||||
👋 应用已关闭
|
||||
INFO: Started server process [64861]
|
||||
INFO: Waiting for application startup.
|
||||
INFO: Application startup complete.
|
||||
✅ 上传目录已准备: uploads
|
||||
INFO: 127.0.0.1:63556 - "GET /api/auth/me HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63563 - "GET /api/categories HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63565 - "GET /api/designs/27 HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63567 - "GET /uploads/videos/f2e6c3eac03b485f8115e72a1d33b491.mp4 HTTP/1.1" 404 Not Found
|
||||
INFO: 127.0.0.1:63569 - "GET /uploads/models/506909359d6c45fe9e43108ee7765a9a.glb HTTP/1.1" 304 Not Modified
|
||||
INFO: 127.0.0.1:63575 - "POST /api/designs/27/generate-video?force=true HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63785 - "GET /uploads/videos/6ed3f33421a44876b303c7671c1597d5.mp4 HTTP/1.1" 200 OK
|
||||
INFO: 127.0.0.1:63846 - "GET /uploads/videos/6ed3f33421a44876b303c7671c1597d5.mp4 HTTP/1.1" 200 OK
|
||||
Reference in New Issue
Block a user