핵심 요구사항
- RTX 5090 VRAM에 최적화된 로컬 image-to-video/3D 모션 모델 선정 및 설치
- 로컬 TTS 및 립싱크(voice sync) 모델 통합
- 프롬프트 → 애니메이션 → 배경 → 음성 동기화 → 최종 렌더링 체인을 구성한 ComfyUI 워크플로우 제작
- 완전 오프라인 동작 및 클린 Windows 설치 후 재현 가능한 환경 구성
- 최소한의 사용자 개입으로 동작하는 자동화
Required stack
필요 기술
ComfyUIStable DiffusionAnimateDiffTTSWav2LipPythonCUDAPyTorch
Project brief
프로젝트 내용
I have an RTX 5090–powered workstation and want every part of my microdrama production pipeline to run locally. The plan is to rely on ComfyUI as the core “orchestrator” and generate hyper-realistic clips in which character animation, scenery setup, and voice synchronisation happen automatically from a short prompt or script.
You will need to select, install, and optimise the best local models (image-to-video or 3D motion, TTS, lip-sync, etc.) so they run smoothly on the 5090’s VRAM without calling external APIs. Once the models are in place, I expect a ComfyUI graph—or an equally efficient node-based setup—that ingests a text prompt, produces the visuals, aligns the audio, and renders a finished clip.
Deliverables
• Fully configured local environment with all required models and dependencies
• A ready-to-use ComfyUI workflow file that chains prompt → animation → scenery → voice sync → final render
• Step-by-step documentation so I can reinstall from scratch and reproduce the same results
• A short sample microdrama generated by the system to confirm hyper-realistic output and perfect voice sync
Everything must stay offline, be repeatable after a clean Windows install, and work with minimal user intervention once set up. Let’s discuss model choices, licensing, and any performance tweaks you recommend before you begin.
You will need to select, install, and optimise the best local models (image-to-video or 3D motion, TTS, lip-sync, etc.) so they run smoothly on the 5090’s VRAM without calling external APIs. Once the models are in place, I expect a ComfyUI graph—or an equally efficient node-based setup—that ingests a text prompt, produces the visuals, aligns the audio, and renders a finished clip.
Deliverables
• Fully configured local environment with all required models and dependencies
• A ready-to-use ComfyUI workflow file that chains prompt → animation → scenery → voice sync → final render
• Step-by-step documentation so I can reinstall from scratch and reproduce the same results
• A short sample microdrama generated by the system to confirm hyper-realistic output and perfect voice sync
Everything must stay offline, be repeatable after a clean Windows install, and work with minimal user intervention once set up. Let’s discuss model choices, licensing, and any performance tweaks you recommend before you begin.
지원 기회 분석
지원 전에 볼 것
예상 산출물
- 모든 모델·의존성이 설정된 완전한 로컬 환경
- 프롬프트부터 최종 렌더까지 연결된 ComfyUI 워크플로우 파일
- 처음부터 재설치·재현 가능한 단계별 문서
- 하이퍼리얼리즘 출력과 완벽한 립싱크를 검증할 샘플 마이크로드라마
매력 포인트
- 산출물과 요구사항이 비교적 명확하게 정의됨
- 최신 RTX 5090 기반 생성형 AI 포트폴리오 구축 기회
확인할 점
- 예산($250~750)이 요구 난이도(다중 모델 통합·최적화·문서화·샘플 제작) 대비 현저히 낮음
- '하이퍼리얼리즘'·'완벽한 립싱크' 기대치가 현재 로컬 오픈소스 모델 수준 대비 과도함
- 기간이 명시되지 않아 범위 산정이 어려움
Client signal
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