ugc-manualGenerate lip-sync video from image + user's own audio recording. ✅ USE WHEN: - User provides their OWN audio file (voice recording) - Want to sync image to specific audio/voice - User recorded the script themselves - Need exact audio timing preserved ❌ DON'T USE WHEN: - User provides text script (not audio) → use veed-ugc - Need AI to generate the voice → use veed-ugc - Don't have audio file yet → use veed-ugc with script INPUT: Image + audio file (user's recording) OUTPUT: MP4 video with lip-sync to provided audio KEY DIFFERENCE: veed-ugc = script → AI voice → video ugc-manual = user audio → video (no voice generation)
Install via ClawdBot CLI:
clawdbot install PauldeLavallaz/ugc-manualGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.comfydeploy.com/api/run/deployment/queue`Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Users can create custom video messages by recording their own voice and syncing it to a photo of themselves or a character. This is ideal for sending unique birthday wishes, thank-you notes, or announcements where personal touch is valued.
Teachers or trainers record audio lessons and sync them to an image of themselves or an avatar, making online courses more engaging. It helps preserve exact timing for language pronunciation or step-by-step tutorials.
Businesses use pre-recorded audio ads or voiceovers from influencers and sync them to branded images or character visuals. This allows for consistent messaging without relying on AI-generated voices, enhancing authenticity.
Fans create lip-sync videos by combining audio from songs, podcasts, or movie dialogues with images of celebrities or fictional characters. It's popular for social media challenges and fan art, leveraging user-generated audio.
Offer basic video generation for free with limited features, then charge for premium options like higher resolution, faster processing, or bulk exports. This model attracts individual users and small businesses looking for cost-effective solutions.
License the technology to companies in education, marketing, or social media platforms, allowing them to integrate lip-sync features into their own apps. This generates revenue through licensing fees and custom development contracts.
Charge users based on the number of videos generated or processing time, ideal for developers and enterprises with fluctuating needs. This model scales with usage and can include volume discounts for high-frequency clients.
💬 Integration Tip
Ensure ffmpeg is installed for audio conversion, and use the provided Python script with direct file paths or URLs for seamless automation.
Scored Apr 19, 2026
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
End-to-end AI video generation - create videos from text prompts using image generation, video synthesis, voice-over, and editing. Supports OpenAI DALL-E, Replicate models, LumaAI, Runway, and FFmpeg editing.
Seedance 2.0 Pro on RunComfy. Seedance 2.0 Pro (ByteDance Seedance v2) is a multi-modal cinematic short-form video model with native lip-sync audio. This ski...
HappyHorse 1.0 — text-to-video generation on RunComfy. HappyHorse 1.0 is currently #1 on Artificial Analysis Video Arena and produces native 1080p video with...
Generate and stitch short videos via Google Veo 3.x using the Gemini API (google-genai). Use when you need to create video clips from prompts (ads, UGC-style clips, product demos) and want a reproducible CLI workflow (generate, poll, download MP4, optionally stitch multiple segments).
Generate videos using OpenAI's Sora API. Use when the user asks to generate, create, or make videos from text prompts or reference images. Supports image-to-video generation with automatic resizing.