DreamShaper 8 LCM is a text-to-image generation model optimized based on DreamShaper-8. It is specifically integrated with the Latent Consistency Model (LCM) technology, aiming to achieve fast and high-quality image generation. The project description indicates that the imatrix training of the current model may not be fully sufficient, and it is mainly used for demonstration and testing purposes.

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A monocular normal estimation model fine-tuned using latent consistency distillation for predicting surface normal maps from single images

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A monocular depth estimation model fine-tuned using latent consistency distillation for generating depth maps from single images

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A text-to-image generation model based on SDXL-Turbo, which combines LCM (Latent Consistency Models) and LoRA (Low-Rank Adaptation) technologies to achieve fast and high-quality image generation.

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An anime model based on Stable Diffusion 1.5, integrated with LCM (Latent Consistency Model), capable of generating high-quality images in just 4 steps.

Computer VisionDiffusersMultiple Languages

A latent consistency model based on Stable Diffusion XL, reducing inference steps to 2-8

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The Latent Consistency Model is a text-to-image generation model distilled from a fine-tuned version of Stable-Diffusion v1-5's Dreamshaper v7, capable of producing high-quality images in extremely short inference times.

Computer VisionDiffusersEnglish