Faceless Explainer

Flash-tier text-to-image model optimized for rapid iteration, social thumbnails, and predictable in-image typography.

Text-to-video generation with audio-driven lip-sync and multi-reference motion control.

Add captions or subtitles to an existing single-subject talking-head video without editing the footage. Use for plain verbatim captions, cinematic captions embedded behind the subject, VFX captions, “炸/特效/酷炫字幕,” or a named identity from the 35-style catalog. Route by visual identity, not by backend engine. The quiet `anchor` rail is the default; embed every word only when the user explicitly wants a fully cinematic treatment. The workflow runs locally end to end, including transcription and subject matting; split multi-shot footage before applying it.

Generate images/videos/3D assets/audio via Higgsfield AI. Defaults: GPT Image 2 for image/design/text, Seedance 2.0 for video, Nano Banana 2/Lite/Pro for character/reference images, Marketing Studio for ads, Seed Audio 1.0 for audio. Use when: "generate an image", "make a video", "animate this photo", "image-to-video", "edit/stylize/remix this image", "reframe this video", "edit this video from a sketch", "create a 3D model/GLB", "create a sound effect", "make music", "text-to-audio", "create an ad", "make a UGC video", "unboxing", "presenter video", "import product from URL", or "analyze video virality". Supports generic generation, workflows, Marketing Studio, and Virality Predictor. Chain with higgsfield-soul-id for face/identity consistency. NOT for: Soul training, brand systems/brandbooks (use higgsfield-brandkit), photoshoots, cards, YouTube thumbnails (use higgsfield-youtube-thumbnail), explainers (use higgsfield-video-explainer), playable games/assets (use higgsfield-game-gener

Continue existing video clips with consistent motion, lighting, and identity using Google Veo 3-1.

Pose-conditioned image and video generation routed across Kling Motion Control, Wan 2-2 Animate, and Z-Image ControlNet LoRA.