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Stable Diffusion V1 1

Developed by CompVis
Stable Diffusion is a latent text-to-image diffusion model capable of generating realistic images from arbitrary text inputs.
Downloads 3,355
Release Time : 8/19/2022

Model Overview

A diffusion-based text-to-image generation model that utilizes a fixed pre-trained text encoder (CLIP ViT-L/14) in a latent diffusion model, designed with reference to the Imagen paper.

Model Features

High-Resolution Image Generation
Capable of generating high-quality images at 512x512 resolution
Text-Conditioned Control
Precisely control generated image content through text prompts
Latent Space Manipulation
Performs diffusion process in compressed latent space for improved efficiency
Multi-Scheduler Support
Supports various noise schedulers including PNDM and LMS

Model Capabilities

Text-to-Image Generation
Image Modification
Art Creation
Design Assistance

Use Cases

Art Creation
Concept Art Generation
Quickly generate concept art sketches based on textual descriptions
Creative images such as photos of astronauts riding horses on Mars
Educational Tool
Visualization for Teaching
Transform abstract concepts into visual images to aid teaching
Research
Generative Model Research
Study the limitations and biases of generative models
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