Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-ava

Install the belt CLI skill: npx skills add belt sh/cli AI Avatar & Talking Head Videos Create AI avatars and talking head videos via [inference.sh](https://inference.sh) CLI. ![AI Avatar & Talking Head Videos](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg0tszs96s0n8z5gy8y5mbg7.jpeg) Quick Start Requires inference.sh CLI ( belt ). [Install instructions](https://raw.githubusercontent.com/inference sh/skills/refs/heads/main/cli install.md) Available Models Start with P Video Avatar — it's 18x faster and 6x cheaper than alternatives, with built in TTS, dynamic backgrounds, and 1080p support. Model App ID Best For Built in TTS P Video Avatar pruna/p video avatar Best overall: speed, cost, quality, control Yes (30 voices, 10 languages) OmniHuman 1.5 bytedance/omnihuman 1 5 Multi character, audio driven No Fabric 1.0 falai/fabric 1 0 Image talks with lipsync Yes PixVerse Lipsync falai/pixverse lipsync Highly realistic lipsync No Cost & Speed Comparison Model Speed (per sec of video) Cost per second P Video Avatar ~1.83s/s $0.025 OmniHuman 1.5 ~28s/s (15x slower) $0.16 (6.4x more) Fabric 1.0 ~34s/s (18x slower) $0.14 (5.6x more) Examples P Video Avatar (Recommended) Generate avatar from portrait + text script with built in TTS: With custom style control: With audio file instead of TTS: Full Workflow: Generate Portrait + Avatar Use Pruna P Image to generate the portrait, then create the avatar: OmniHuman 1.5 (Multi Character) Supports specifying which character to drive in multi person images. Fabric 1.0 (Image Talks) PixVerse Lipsync Full Workflow: TTS + Avatar (Non TTS Models) For models without built in TTS (OmniHuman, PixVerse), generate speech first: Tip : For most use cases, P Video Avatar with built in TTS is simpler — no separate audio step needed. Use this workflow only when you specifically need OmniHuman (multi character) or PixVerse (realistic lipsync). Full Workflow: Dub Video in Another Language Avatar UGC Generation Create UGC style content with P Video Avatar — built in TTS, no separate audio step needed: Why P Video Avatar for UGC All in one — built in TTS means no separate audio generation step 30 voices, 10 languages — match your target audience Voice + video prompts — control tone, emotion, body language, and background independently 18x faster, 6x cheaper — produce UGC at scale vs. Fabric/OmniHuman/HeyGen 1080p support — platform ready vertical video from a single portrait image Batch UGC: Same Product, Multiple Presenters Use Cases UGC & Marketing : Product demos, UGC style ads with AI presenters Education : Course videos, explainers Localization : Dub content across 10 languages from one image Social Media : Consistent virtual influencer content Corporate : Training videos, announcements Gaming : Character avatars, NPC dialogue Tips Use high quality portrait photos (front facing, good lighting) Audio should be clear with minimal background noise P Video Avatar supports built in TTS — no need for a separate speech generation step P Video Avatar output aspect ratio matches the input image Generate portraits with pruna/p image using 9:16 aspect ratio for vertical videos OmniHuman 1.5 supports multiple people in one image LatentSync is best for syncing existing videos to new audio Related Skills Browse all video apps: belt app list category video Documentation [Running Apps](https://inference.sh/docs/apps/running) How to run apps via CLI [Content Pipeline Example](https://inference.sh/docs/examples/content pipeline) Building media workflows [Streaming Results](https://inference.sh/docs/api/sdk/streaming) Real time progress updates

ai-avatar-video