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STune-A-Video
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
HEMO
Emote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Popularity
Repository stars4,3597,576Highest
7-day net stars——
Fork388920Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2023-10-252024-08-21
Maintenance notesNot verifiedNot verified
Repository created2022-12-252024-02-27
License & use
LicenseApache-2.0 · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAI & agentsAI & agents
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
LanguagePython—
About this project[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video GenerationEmote Portrait Alive: Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Measured at2026-11-03 09:37 UTC2026-11-03 08:30 UTC
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