openai/consistencydecoder
consistencydecoder
Consistency Distilled Diff VAE
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OpenAI
openai • ai-lab
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Created
Nov 2, 2023
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README Summary
ConsistencyDecoder is a drop-in replacement for stable diffusion VAE decoders that provides better results with the same number of sampling steps. It uses consistency distillation to improve the quality of VAE decoding while maintaining computational efficiency.
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Variational Autoencoders (VAE)Consistency ModelsDiffusion ModelsKnowledge DistillationImage GenerationLatent Space ModelingComputer Vision Deep Learning
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Variational Autoencoders (VAE)Consistency ModelsDiffusion ModelsKnowledge DistillationImage GenerationLatent Space ModelingComputer Vision Deep LearningMarketing TechnologySelf-hostedGamingImageDigital ArtDiffusion model enhancementCloud APICreative MediaGenerative AIHigh-quality image generationLatent space image decodingAI art creationPython
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Updated 2 years ago
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research- Quality
- high
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- research
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Edge & Mobile AIPrimaryOther AI / MLGenerative MediaComputer Vision
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Python100.0%
Timeline
- Project created
- Nov 2, 2023
- Forked
- Mar 14, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Nov 7, 2023
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