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Stable Diffusion V1 5

Developed by benjamin-paine
Stable Diffusion is a latent text-to-image diffusion model capable of generating realistic images from text inputs.
Downloads 32.63k
Release Time : 8/30/2024

Model Overview

A diffusion-based text-to-image generation model that employs a latent diffusion model architecture, enabling text-guided image generation and editing through a fixed pre-trained text encoder.

Model Features

High-Quality Image Generation
Capable of generating high-resolution (512x512) realistic images based on text prompts.
Text Condition Dropout
Utilizes 10% text condition dropout to improve classifier-free guidance sampling.
Open License
Adopts the CreativeML OpenRAIL-M license, allowing commercial use and redistribution.

Model Capabilities

Text-to-Image Generation
Image Editing
Artistic Creation
Design Assistance

Use Cases

Artistic Creation
Concept Art Generation
Quickly generates concept art images based on textual descriptions.
Capable of producing diverse artistic styles.
Education & Research
Generative Model Research
Used to study the limitations and biases of generative models.
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