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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 | Don't use any other sampler, if you do, you'll get the worst results. Euler a Sampler is the best. I've tested a bunch of other samplers, and personally, I don't like the results from any other samplers. If you're still interested in testing another sampler, then you should give this one a try.

• Sampling Steps : 4➡️8

• CFG Scale : 1

• Clip Skip : 2

• Upscaler : 4x-UltraSharp

• Hires Steps : 2➡️5

• Denoising Strength : 0.2➡️0.4

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Discord➡️https://discord.gg/QQKd7bu97P

User Guide❌

I'm here to help you create amazing visuals, it's essential to note that I cannot be held responsible for any content that violates the law or community guidelines 🚫

Let's collaborate creatively while ensuring compliance with the rules 🎨📜