
Online studio for avatar video...
Talking videos break when a new line misses the mouth, or when a new scene changes the person. Upload a portrait or an existing character video, add a script or authorized audio, and check the mouth on a short sample first. An existing cut can have its spoken copy extracted and rewritten, then be revoiced and lip-synced. A multi-person frame needs a track for each role. A method that works can be saved as a Canvas workflow or a Skill and run again from the nodes. The agent can also analyze media and rewrite the script. It fits people making lessons, interviews, and product talks who need the same avatar again.
LightX2V is an online studio for avatar video and multimodal production. It can lip-sync from character media, a spoken script, and a voice, and it also offers text-to-video, image-to-video, first-and-last frames, text-to-image, and speech. Character replacement keeps the original motion and shot, and motion transfer applies a reference video's movement to a character. Agent, Canvas, and Skills store a method that already worked so it can run again. The about page also mentions an open-source inference framework, and the page does not name another company.
Difficulty: Intermediate
Portrait or footage lip sync
Make a talk from a clear portrait plus speech, or keep the motion and camera of an existing character video and replace only the voice.
Multi-person tracks
Multi-person mode maps a track to each role for interviews, lessons, and dialogue, with duration and headcount limited by the model and plan.
Extract and rewrite the script
Send existing footage to the agent or Canvas, extract editable speech with recognition, rewrite audience, language, or length, then generate again.
Reuse Canvas and Skills
Canvas links image, video, audio, speech recognition, and avatar steps; a Skill packages that method so it can run again.
Other picture and voice tasks
Separate tasks cover text-to-video, image-to-video, first-and-last frames, character replacement, motion transfer, text-to-image, speech, voice cloning, and a two-person podcast.
Teachers making a lesson from a photo
Upload a portrait and a script, check the mouth on a short sample, then make a longer lesson.
Interviews with two speakers
Prepare a two-person frame, assign a track to each role, and generate the lip-synced dialogue.
Shops rewriting a spoken pitch
Extract the script from the original footage, rewrite the pitch, and lip-sync it without reshooting the motion.
A photo sets the appearance and the model generates the talking motion, which suits lessons and a fixed presenter. Existing video keeps the performance and camera and only replaces authorized speech. That route wants continuous footage and less occlusion. A multi-person frame also needs a track per role and faces that do not cover each other. The page suggests a short sample for the mouth before a longer cut.
Save script preparation, voice, character media, avatar settings, and finishing as a Canvas workflow or an agent Skill. Canvas keeps the visible stages, and a Skill packages the repeatable method. Templates, tasks, and voice presets keep the context. For batches, the docs say the same generation can be called through the API. To change a scene, constrain identity with references and feed the new character media into the next avatar.
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