T

Trinart Characters 19.2m Stable Diffusion V1

Developed by naclbit
An anime/manga-style image generation model based on Stable Diffusion v1, trained on approximately 19.2 million images, aiming for a balance between art style diversity and anatomical quality.
Downloads 11.88k
Release Time : 10/15/2022

Model Overview

This model focuses on generating high-quality anime/manga-style images, trained and fine-tuned on a large-scale dataset, suitable for character design and artistic creation.

Model Features

Large-Scale Training Data
Training data includes approximately 19.2 million anime/manga-style images, with fine-tuning on 50,000 images.
Art Style Diversity
Seeks the optimal balance between art style diversity and anatomical quality within the specifications of Stable Diffusion v1.
Enhanced Safety
The dataset is filtered to exclude NSFW content, making it less prone to generating inappropriate content compared to the original SDv1.4.
Custom Autoencoder
Provides an independent custom KL autoencoder checkpoint to improve generation results.

Model Capabilities

Anime-Style Image Generation
Character Design
Artistic Creation
High-Quality Image Rendering

Use Cases

Digital Art Creation
Anime Character Design
Generate anime character images in various styles.
Can produce character images with different art styles and anatomically stable features.
Scene Construction
Create anime-style scenes and backgrounds.
Examples include taverns, cathedrals, and other scenes.
Concept Design
Character Concept Development
Quickly generate character concept sketches.
Can produce characters with different outfits, hairstyles, and poses.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase