L

Lcm Lora Ssd 1b

Developed by latent-consistency
A distilled consistency adapter designed for segmind/SSD-1B, reducing inference steps to just 2-8 steps
Downloads 1,512
Release Time : 11/9/2023

Model Overview

Latent Consistency Model (LCM) LoRA is a universal stable diffusion acceleration module specifically designed for the segmind/SSD-1B model, significantly reducing inference steps for text-to-image generation tasks.

Model Features

Efficient Inference
Reduces inference steps to just 2-8 steps, significantly improving generation speed
Strong Compatibility
Designed for segmind/SSD-1B but can be applied to other stable diffusion models
Lightweight Adaptation
Uses LoRA technology, requiring only a small number of parameters to accelerate the model

Model Capabilities

Text-to-Image Generation
Image-to-Image Generation
Image Inpainting
ControlNet Control
T2I Adapter

Use Cases

Artistic Creation
Rapid Concept Art Generation
Artists can quickly generate multiple concept art proposals
High-quality concept art generated within 4 inference steps
Design Assistance
Product Design Visualization
Designers can quickly transform text descriptions into visual representations
Rapid iteration of design solutions
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