openai/consistency_models
consistency_models
Official repo for consistency models.
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openai • ai-lab
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Feb 26, 2023
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README Summary
This is the official implementation of Consistency Models, a new family of generative models that achieve high sample quality without adversarial training. The repository provides code for training and sampling from consistency models on various datasets including CIFAR-10, ImageNet, and LSUN.
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Diffusion ModelsGenerative ModelingScore-Based ModelsNeural ODEFast Sampling TechniquesImage SynthesisDeep Learning OptimizationProbability Flow ODEs
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Diffusion ModelsGenerative ModelingScore-Based ModelsNeural ODEFast Sampling TechniquesImage SynthesisDeep Learning OptimizationProbability Flow ODEsModel DistillationSampling AlgorithmsFast Image GenerationReal-time Image SynthesisImageScore-Based Generative ModelsGamingCreative TechnologyDistillation MethodsSelf-hostedConsistency ModelsDigital MediaRapid Prototyping for Visual ContentEfficient Generative Art CreationEfficient Generative ModelsFast Sampling MethodsAdvertisingCloud APIPython
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Inference & ServingPrimaryGenerative MediaOther AI / ML
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Scale & ReliabilityCost & Efficiency
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Python100.0%
Timeline
- Project created
- Feb 26, 2023
- Forked
- Mar 14, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Mar 22, 2024
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