Veed Fabric 1.0
by Veed
Veed's talking‑video model.
One still plus one audio file becomes a talking video with synced lips, head, body, and hand motion.
Veed Fabric 1.0
by Veed
Key features
Technical specifications
1 image + 1 audio
JPG, PNG, WebP, GIF + MP3, WAV, M4A
480p or 720p
Two output tiers
5 ratios
16:9, 4:3, 1:1, 3:4, 9:16
Up to 5 min
Per generation
Use cases
Talking-avatar social content
Generate talking-head clips for Instagram, TikTok, LinkedIn, and Shorts from one image and a voice track. No studio shoot needed.
Ads and explainers
Use a brand character or mascot still as the speaker for ads, product explainers, and tutorials. Visual identity stays consistent.
Multilingual content localization
Generate the same talking video in multiple languages by swapping the audio track, lip-sync follows the new language automatically.
Stylized character speech
Animate illustrations, anime, clay-style mascots, or 3D renders speaking, not just realistic portraits. Fits branded and entertainment work.
Prompt examples
Talking-head ad
Animate this character portrait speaking the attached audio track, neutral background, mid shot, 720p, 30 seconds
Edit promptStylized mascot
Make this illustrated mascot speak the attached voiceover, expressive lip and head motion, full body in frame, 60 seconds
Edit promptLocalized explainer
Generate a talking video of this character delivering the attached Spanish voiceover, accurate lip-sync, soft natural body motion, 90 seconds
Edit promptOverview
Veed Fabric 1.0 is Veed's talking-video model, a different shape from a standard lip-sync model. Instead of starting from existing footage and re-syncing the mouth, Fabric takes a single still image plus an audio file and generates the entire talking video from scratch, with lips, head, body, and hand motion all driven by the audio. It accepts realistic photos, illustrations, anime, 3D renders, and stylized mascots, supports any language via the input audio, and runs up to 5 minutes per generation, long enough to cover full explainers and ad reads in a single pass.
ByteDance's OmniHuman 2.0 works from the same two inputs, one photo and one audio track, and reads the tone and emotion of the track for takes up to five minutes. Both are live on Morphic, so you can run the same photo and track through each and keep the better take.
Simple pricing
Get started for free today, with the option to upgrade or cancel anytime.
Basic
2400 monthly credits
1 user only
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Standard
3625 monthly credits
1 user only
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Pro
6350 shared monthly credits
1 user
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Max
24650 shared monthly credits
1 user
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Enterprise
For higher limits
Custom
pricing and billing terms

Free
For playing around
$0
forever free
FAQs
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