C

Coreml Stable Diffusion V1 5

Developed by apple
Text-to-image generation technology based on the latent diffusion model, capable of generating realistic images according to text input
Downloads 691
Release Time : 12/1/2022

Model Overview

Stable Diffusion is an advanced text-to-image generation model that converts text descriptions into high-quality images through latent diffusion technology. This model is trained on the LAION dataset, supports the generation of 512x512 resolution images, and optimizes the classifier-free guidance sampling strategy.

Model Features

High-resolution image generation
Supports the generation of 512x512 resolution images with excellent detail performance
Text-conditioned control
Achieves precise text-image alignment through the CLIP text encoder
Classifier-free guidance sampling
Optimizes the sampling process using a 10% text-condition dropout strategy
Apple chip optimization
Provides Core ML format weights, specifically optimized for Apple hardware

Model Capabilities

Text-to-image generation
Image editing and modification
Art style conversion
Creative content generation

Use Cases

Art creation
Digital art generation
Generates digital paintings according to art style descriptions
Can generate art images in various styles
Design assistance
Concept design
Quickly generates product design concept maps
Accelerates the design iteration process
Education and research
Generative model research
Studies the behavior and limitations of diffusion models
Featured Recommended AI Models
ยฉ 2025AIbase