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EMO

Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Popularity
Repository stars7,57634,854Highest
7-day net stars——
Fork9207,453Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-08-212026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-02-272022-05-30
License & use
LicenseLicense not declaredApache-2.0 · Permissive
License source—License source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAI & agentsImage generation
TypeModels & adaptersModels & adapters
SubcategoryVideo modelsVideo models
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
Language—Python
About this projectEmote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Measured at2026-11-03 08:30 UTC2026-11-03 08:26 UTC

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