Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
中文简介正在准备中。当前显示原文说明。
Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Create a non-explicit romantic video draft—such as an embrace or kiss—from authorized adult reference images or an approved starting frame. Preserve the distinction between a creative depiction and a real event. This workflow never authorizes non-consensual face merging, sexualized deepfakes, impersonation, or the use of minors or public figures.
Require confirmation that every identifiable adult has authorized:
Treat a supplied photo, public profile, relationship claim, or “they would be okay with it” as insufficient. If consent is unknown, stop and request an approved fictional or adult source. Do not proceed with minors, coercion, non-consensual intimacy, public-figure likeness, or a scene intended to deceive someone about a real relationship or event.
Do not assume gender, relationship, age, orientation, or appearance from a photo. Do not automatically stitch two portraits or use face-swap tooling when a reference-capable image-to-video path can preserve roles more transparently.
Use MODELS.md and the live schema:
image_url;images_list or
image_urls path with explicit participant order; orVeo, Wan, Gemini Omni, Kling, and other families accept different image-list fields, durations, audio defaults, and ratios. Resolve the exact endpoint through muapi-video-tools.md. Do not copy fields from the source application's model list.
Return participant IDs, consent/distribution state, reference roles, scene
brief, model/endpoint, prediction ID, output URL, status, disclosure label, QA
findings, and any blocked requests. Save permitted receipts under .video/
using reports-and-receipts.md.
Generation is draft-only. Publishing or sharing requires the participants' explicit approval and any applicable synthetic-media disclosure.
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Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
中文简介正在准备中。当前显示原文说明。
Create authorized presenter, avatar, and UGC-style video drafts with explicit voice, likeness, consent, and synthetic-media handling.
中文简介正在准备中。当前显示原文说明。
Analyze a script or existing edit, identify visual gaps, and generate supplemental B-roll coverage with clear parent and factual-status labels.
中文简介正在准备中。当前显示原文说明。
Build a consented continuity system for an authorized person, fictional character, product, or world across video shots.
中文简介正在准备中。当前显示原文说明。
Translate creative intent into coherent cinematography, framing, camera, lens, lighting, motion, and sound direction for a video shot.
中文简介正在准备中。当前显示原文说明。
Turn one approved topic into a curiosity-led 3D educational short with character sheets, ordered keyframes, motion clips, narration, captions, and an auditable assembly plan.
中文简介正在准备中。当前显示原文说明。