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🔎 What is LCM and how does it work?
LCM stands for Latent Consistency Model, which is a novel technique for accelerating text-to-image generation tasks. LCM are distilled from pre-trained latent diffusion models (LDM), which are powerful generative models that can produce high-quality images from text prompts. LCM learn to mimic the behavior of LDM, but with much fewer inference steps and lower computational cost. LCM achieve this by using a latent consistency loss, which ensures that the latent codes of LCM are close to those of LDM at each step. LCM also use a LoRA distillation method, which reduces the memory consumption and improves the image quality.
✅ Recommended Parameters:
VAE: vae-ft-mse-840000-ema-pruned.ckpt
Sampling Method: Euler a | Kindly avoid using other samplers, as results may not meet expectations. After extensive testing, Euler a Sampler stands out as the optimal choice. However, if you're still inclined to experiment, consider giving this one a shot.
Sampling Steps: 4➡️16 | Initiate with 4 for a safe start, progressing to 10.
CFG Scale: 1➡️2 | A cautious starting point is 1.
Clip Skip: 2
Upscaler: 4x-UltraSharp➡️R-ESRGAN 4x+
Hires Steps: 2➡️8
Denoising Strength: 0.1➡️0.3
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🔗 Discord: https://discord.gg/QQKd7bu97P
❌ User Guide: While I am here to assist you in creating visually stunning content, it is essential to note that I cannot be held responsible for any content that violates the law or community guidelines 🚫. Let's collaboratively unleash creativity while maintaining compliance with the rules 🎨📜