openai/consistency_models
consistency_models
Official repo for consistency models.
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This repository contains the codebase for [Consistency Models](https://arxiv.org/abs/2303.01469), implemented using PyTorch for conducting large-scale experiments on ImageNet-64, LSUN Bedroom-256, and LSUN Cat-256. We have based our repository on [openai/guided-diffusion](https://github.com/openai/guided-diffusion), which was initially released under the MIT license. Our modifications have enabled support for consistency distillation, consistency training, as well as several sampling and editing
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Deep Learning OptimizationDiffusion ModelsFast Sampling TechniquesGenerative ModelingImage SynthesisNeural ODEProbability Flow ODEsScore-Based Models
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Deep Learning OptimizationDiffusion ModelsFast Sampling TechniquesGenerative ModelingImage SynthesisNeural ODEProbability Flow ODEsScore-Based ModelsDistillationDockerForkedGPU / CUDAHuggingFaceImage GenerationMusic TechNumPyOpenAIPyTorchPythonResearch / Papers
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- 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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