Historical context & research account
Latent Consistency Models use consistency distillation in latent space to generate high-resolution images in a small number of steps, including two to four in the reported approach. Speed changes the possible interface: generation closer to real time can participate more readily in drawing, design, live presentation and interactive software.
Dates & version record
Date displayed for this node：2023-10 · Date recorded in the research master：2023-10
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Original sources & further reading
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Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
https://arxiv.org/abs/2310.04378
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Provenance, translation & verification
Archive node #104 · Historical node
Research masters & supplement references · 2
AI Art Genealogy Research Master · p. 31 · 104
Date as recorded: 2023-10
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference ↗
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
GenAI Visual Release Chronology Research Master · p. 16 · R081
Date as recorded: 2023-10
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference ↗
Luo et al. — Latent Consistency Models
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ANTI-AI ARCHIVE. Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. Art-history node #104. https://salondesrefuses.cn/en/art-history/104
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