# Anime Style Optimization

A text-to-image generation model optimized based on Animagine XL 4.0, specifically enhanced for anime and cyberpunk styles.

An extremely compact text-to-image diffusion model designed for consumer-grade graphics cards

Tencent Hunyuan Community Edition's text-to-video model, capable of generating high-quality video content from text prompts.

UrangDiffusion 2.0 is a text-to-image generation model fine-tuned based on Animagine XL 3.1, offering greater flexibility and an updated dataset.

A high-quality virtual YouTuber anime-style image generation model fine-tuned based on Animagine XL V3

An advanced latent text-to-image diffusion model optimized based on Stable Diffusion XL 1.0, specializing in generating high-resolution anime images

Counterfeit-V2.5 is an optimized anime-style text-to-image generation model based on stable diffusion technology, particularly suitable for generating high-quality anime-style images.

A text-to-image generation model based on Stable Diffusion, specializing in high-quality, surreal anime-style portraits.

The EVT series is an experimental project focused on fine-tuning anime-style models with large-scale datasets. Evt_V4 utilizes an even larger dataset than previous versions, achieving an 85% cosine similarity with ACertainty.

An anime-style text-to-image generation model fine-tuned from Stable Diffusion, optimized for illustrations

Fine-tuned based on the animefull-latest model, specializing in generating high-quality anime-style images with optimized character details and scene representation.

A text-to-image model based on Stable Diffusion, specifically optimized for the 'whitemane' character

A text-to-image diffusion model fine-tuned on high-quality safe pony images