Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create a non-explicit romantic scene from authorized adult references with clear consent, identity boundaries, and synthetic-media labeling.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Plan draft video-ad variations from supplied performance evidence, preserving the distinction between observed data and creative hypotheses.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create authorized presenter, avatar, and UGC-style video drafts with explicit voice, likeness, consent, and synthetic-media handling.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze a script or existing edit, identify visual gaps, and generate supplemental B-roll coverage with clear parent and factual-status labels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build a consented continuity system for an authorized person, fictional character, product, or world across video shots.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Translate creative intent into coherent cinematography, framing, camera, lens, lighting, motion, and sound direction for a video shot.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.