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Stable Diffusion 2 1 Img2img

Developed by radames
Diffusion-based text-to-image generation model supporting image generation and editing
Downloads 115
Release Time : 10/16/2023

Model Overview

Stable Diffusion v2-1 is a latent diffusion model-based text-to-image generation system capable of producing high-quality images from text prompts and supporting image modification. The model uses OpenCLIP-ViT/H as its text encoder and was trained on a subset of the LAION-5B dataset.

Model Features

High-quality image generation
Capable of generating realistic high-resolution images (up to 768x768) from text prompts
Image editing capability
Supports modifying and editing existing images based on text prompts
Safety filtering
Uses NSFW detector during training to filter unsafe content (p_unsafe=0.1)
Multi-resolution support
Provides models for both 512x512 and 768x768 resolutions

Model Capabilities

Text-to-image generation
Image editing
Image super-resolution
Depth-conditioned image generation
Image inpainting

Use Cases

Art creation
Concept art creation
Artists can use the model to quickly generate concept artworks
Accelerates creative workflow and provides inspiration
Education & Research
Generative model research
Used to study limitations and biases in generative models
Helps understand characteristics of AI-generated content
Design tools
Product prototype design
Designers can quickly generate product prototype images
Speeds up design iteration process
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