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LiheYoung / Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
lllyasviel / ControlNet
Provide models and code for adding structural conditioning to diffusion models.
Popularity
Repository stars8,25034,151Highest
Fork6213,009Highest
Maintenance
Last push2024-07-172024-02-25
Maintenance notesNot verifiedUnknown
Repository created2024-01-222023-02-01
License & use
LicenseApache-2.0 · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeImage generationImage generation
TypeModels & adaptersModels & adapters
SubcategoryLanguage modelsLoRA & adapters
PlatformNot verifiedNot verified
First collected2026-11-032026-11-02
LanguagePythonPython
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Measured at 2026-11-06 UTC