Nov. 18, 2023, 9:11 p.m. | /u/ai-lover

machinelearningnews www.reddit.com

How can Latent Consistency Models (LCMs) enhance the efficiency of text-to-image generation tasks? This paper presents an advancement in LCMs, distilled from pre-trained latent diffusion models (LDMs), requiring only approximately 32 A100 GPU hours for training. The innovation lies in applying LoRA distillation to models like Stable-Diffusion V1.5, SSD-1B, and SDXL, broadening the applicability of LCMs to larger models while reducing memory usage and improving image quality. A key breakthrough is the creation of LCM-LoRA, a universal acceleration module derived …

a100 a100 gpu advanced advancement ai paper diffusion diffusion models distillation efficiency generative gpu image image generation innovation latent diffusion models lcm-lora lies lora machinelearningnews paper tasks text text-to-image training

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