从文字或图像生成3D模型,并与目录素材搭配使用。在Blender中检查形状、材质、大小和接地情况,记录生成条件、来源及费用,再将素材加入场景。
- 根据文字生成独特的3D道具
- 将概念图中的物体转为3D模型
- 用目录中的植被和岩石填充背景
指导在OpenMontage中配置和使用Kling官方API,完成视频与图像生成、语音合成、数字人视频及口型同步,并处理认证、任务状态、结果获取和费用估算。
Official Kling direct API guidance for OpenMontage providers. Use before calling `kling_official_video`, `kling_official_image`, `kling_tts`, `kling_avatar`, or `kling_lip_sync`.
指导在OpenMontage中使用Kling官方API时的配置与处理流程,涵盖视频和图像生成、语音合成、数字人视频,以及让嘴部动作配合音频的口型同步。内容包括身份认证、参考图像和视频的传入方式、生成状态查询、结果获取、错误处理与费用估算,并说明各项功能之间的差异。
适合根据文字或参考图像制作视频,或使用相同参考素材生成图像。将官方API接入OpenMontage流程时,也可用来梳理Classic、Turbo和Omni各自不同的输入格式与结果格式。
voice_id生成英语朗读音频。”这是收费的外部API,需要KLING_API_KEY,认证和处理方式与fal.ai渠道不同。资料列出的语音合成语言为中文和英语,原则上必须明确指定voice_id。部分操作需要可访问的URL,例如Turbo的图像输入。费用估算的可信度较低,应据此看待估算结果。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月23日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Use this skill for OpenMontage tools with provider="kling_official". This is not the fal.ai Kling gateway. Official Kling uses KLING_API_KEY, optional KLING_API_BASE_URL, and Authorization: Bearer <KLING_API_KEY>.
kling_video uses fal.ai, FAL_KEY, fal.ai queue URLs, and provider="kling".kling_official_video uses Kling official API, KLING_API_KEY, official task protocols, and provider="kling_official".kling_official_image uses the same official auth and task protocol for image generation.kling_tts uses the official audio TTS endpoint and stays in the existing tts capability.kling_avatar and kling_lip_sync use official avatar/lip-sync endpoints and stay in the existing avatar capability. They do not replace local talking_head or lip_sync.Never silently switch between these paths. If the selected provider is unavailable, surface the blocker and ask before substituting.
Default base URL:
https://api-singapore.klingai.com
Users may override it with KLING_API_BASE_URL, for example for a regional endpoint. All requests send JSON and:
Authorization: Bearer <KLING_API_KEY>
Classic APIs:
data.task_idsubmitted, processing, succeed, faileddata.task_result.videos[], data.task_result.images[], data.task_result.audios[]Turbo APIs:
data.idGET /tasks?task_ids=<id>submitted, processing, succeeded, faileddata[0].outputs[]Keep the parsers separate. Do not write a fuzzy parser that guesses between task_id and id or between succeed and succeeded.
Video Omni and Image Omni stay inside the existing provider tools through api_family="omni".
Do not create selector-level Omni operations.
Video Omni accepts official reference structures:
image_list[] with image_url and optional type such as first_frame or end_frame.video_list[] with video_url, official refer_type values such as feature or base, and optional keep_original_sound.element_list[] with official element_id values.multi_prompt[]; do not split natural language into shots automatically.Local image references may be normalized through tools/_kling/media.py. Local video paths must not be silently uploaded through fal.ai; ask for or require a reachable URL.
Image Omni accepts image_list[] with official image values. Prompt placeholders such as <<<image_1>>> must map stably to the provided image order. If the prompt already contains placeholders, validate that the referenced images exist and do not insert duplicates.
TTS, avatar, and lip sync are provider additions to existing OpenMontage capabilities. Audio effects and video effects are official Kling endpoints, but they are not registered as default OpenMontage tools until a pipeline has a stable capability slot for them.
sound_effects or video_effects capabilities from inside a provider implementation.video_generation selector path.best_for / not_good_for says so.Use operation for OpenMontage semantics:
text_to_videoimage_to_videoreference_to_videoUse api_family for official protocol choice:
classicturboomniImportant constraints:
image_url; use reference_image_url or reference_image_path.reference_image_url or a local path converted to raw base64 in official field image.aspect_ratio only where the current schema supports it: Classic text-to-video, Turbo text-to-video, and Video Omni.4k, native sound, or batch behavior unless explicitly selected.Use api_family="generation" for /v1/images/generations and api_family="omni" for /v1/images/omni-image.
Generation/edit path:
prompt is required and should stay under the official 2500 character limit.image_url passes through as official image.image_path is converted to raw base64 and sent as official image.image_reference can be subject or face.Omni path:
image_list[] using official image values.<<<image_1>>> only when the prompt needs to bind a specific reference image.kling_tts uses:
textvoice_idvoice_language, currently zh or envoice_speedRequire an explicit voice_id unless an official account-specific default has been verified. Do not hard-code a made-up voice. Download every returned audio item, set data.output_path to the first local file, and include voice_id, voice_language, voice_speed, task_id, and non-zero cost_usd.
kling_avatar uses /v1/videos/avatar/image2video and accepts:
audio_id or sound_filepromptmode, such as std or proKeep it separate from local talking_head. Pipelines that want Kling avatar output must list and choose it explicitly.
kling_lip_sync has two steps:
POST /v1/videos/identify-face with video_id or video_url; read faces from data.face_data[]POST /v1/videos/advanced-lip-sync with session_id and one face_choose[] item containing face_id, audio_id or sound_file, and the sound start/end/insert timesLocal video paths must not be silently uploaded through fal.ai or any other provider. If multiple faces are returned and the user did not pass face_id or face_choose, stop and return the face list for confirmation unless auto_select_face=True was explicitly set. If auto-selecting, record the selection reason and selected face in the result/artifact.
Official Kling audio effects (/v1/audio/text-to-audio, /v1/audio/video-to-audio) and video effects (/v1/videos/effects) are intentionally not default OpenMontage selector tools. Record the non-mapping reason in docs/tests instead of registering tools that current pipelines might misuse.
Elements are an internal Kling Official helper, not a new OpenMontage tool capability.
Use tools/_kling/elements.py to normalize element_list[].element_id, optionally query read-only element endpoints, and record element metadata when queried. Do not create or delete elements from the default provider path.
Account Usage is diagnostic only. Use tools/_kling/account.py for low-frequency /account/costs checks, with local cache and throttle protection. Do not call it before every generation and do not put it in selectors or production pipeline stages.
For 1101 or 1102, surface that the account or resource pack is exhausted and include an account-usage diagnostic hint.
Providers may accept callback_url, but polling remains the default execution mode.
callback_url at the top level.options.callback_url.callback_requested=true, polling_used=true, the callback_url, and task_id.http or https URLs should pass.Surface official code, message, and request_id whenever available.
Do not retry:
1000-10041101, 110211031200, 12011301Limited retry is acceptable for:
1302 request too fast1303 concurrency/resource-pack slot limit5000, 5001, 5002 server/maintenance/backlog errorsFor 1303, explain that the account hit a concurrency or resource-pack slot limit.
Official Kling is a paid remote API. Provider tools must return non-zero conservative estimates from estimate_cost() and include cost_usd on successful paid results. Treat estimates as low-confidence until account usage reconciliation is implemented.
High-cost Omni inputs such as multiple references, element IDs, result_type="series", mode="4k", and sound="on" must increase or flag the cost estimate.
For video, start from the universal OpenMontage video prompt skeleton: subject, subject motion, scene, spatial framing, and camera. Kling tends to respond well to clear temporal action order, camera movement verbs, and concise negative prompts. For reference workflows, state what should stay consistent from the reference and what should change.
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从文字或图像生成3D模型,并与目录素材搭配使用。在Blender中检查形状、材质、大小和接地情况,记录生成条件、来源及费用,再将素材加入场景。
使用ACE-Step 1.5生成视频背景音乐和带歌词的歌曲,可指定曲风、时长、速度与调性,也支持改编参考音频,以及从混合音频中分离人声或乐器。
使用ElevenLabs创建语音对话助手或角色,配置声音、应答规则、语言模型及外部工具,支持嵌入网站,并通过Twilio集成设置电话外呼。
根据文字描述或参考图片生成AI视频,并按用途和费用选择生成服务。支持设置画面比例、查看生成进度,以及通过Gemini Omni对话修改现有视频。
根据文字或参考图像生成AI视频,并按用途、可用服务和预算选择模型。可制作社交平台竖屏短片、让商品照片动起来,也可通过对话编辑已有片段。
通过Atlas Cloud使用多种模型生成和编辑图像与视频,只需一个API密钥,即可保存生成素材,以及所用模型、提交设置和预估费用等记录。