We don't stop at LCM! We go further: LCM-LoRA! Turbo charge SDXL x10 ! LCM-LoRA explained with Python code examples: New developments in stable diffusion, especially in Latent Consistency Models (LCM) enable a speed boost for calculating the PF-ODE for reverse diffusion. Stable Diffusion now 10x faster for text-to-image generation w/ LCM-LoRA. Python code examples for LCM-LoRA w/ acceleration vector and style vector integration via multiple LoRA Adapters. Quality comparison of SDXL (classical) with LCM-LoRA SDXL adapter (w/ and w/o style vector coding). Original literature (all rights with authors): LCM-LORA: A UNIVERSAL STABLE-DIFFUSION ACCELERATION MODULE https://arxiv.org/pdf/2311.05556v1.pdf LATENT CONSISTENCY MODELS: SYNTHESIZING HIGH-RESOLUTION IMAGES WITH FEW-STEP INFERENCE https://arxiv.org/pdf/2310.04378.pdf #stablediffusion #stablediffusionai #ai