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Hdiffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
LDepth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Popularity
Repository stars34,854Highest8,248
7-day net stars——
Fork7,453Highest621
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022024-07-17
Maintenance notesNot verifiedNot verified
Repository created2022-05-302024-01-22
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeImage generationImage generation
TypeModels & adaptersModels & adapters
SubcategoryVideo modelsLanguage 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
LanguagePythonPython
About this project🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Measured at2026-11-03 08:26 UTC2026-11-03 08:29 UTC
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