NewBie image Exp0.1 is an efficient basic image generation model developed based on the Next-DiT architecture, specifically designed for generating high-quality anime-style images. It integrates advanced text encoders and visual components, supports natural language and structured tag input, and is a powerful tool for multi-character anime image generation.

Computer VisionDiffusersEnglish

SteadyDancer is a powerful animation framework based on the image-to-video paradigm, specifically designed to generate high-fidelity and temporally coherent human body animations. This framework effectively solves the identity drift problem in traditional methods through a robust first frame retention mechanism, performs excellently in visual quality and controllability, and significantly reduces the training resource requirements.

Computer VisionDiffusers

This is a LoRA model based on Qwen Image Edit 2509, specifically designed to convert input images into sketch comic artworks with exaggerated features. The model can create humorous and artistic comic images for human and animal subjects, highlighting facial features and characteristics.

Computer VisionDiffusersMultiple Languages

The first truly open-source and unrestricted anime video generation model, based on the Wan2.2-5B architecture, can run with only 6GB of video memory and can generate amazing anime animation content.

MultimodalDiffusers

Anything2Real is a dedicated LoRA model built on Qwen Edit 2509, capable of transforming any art style (illustrations, anime, cartoons, paintings, etc.) into realistic images while preserving the original composition and content.

Computer VisionDiffusers

Anime2Realism is a text-to-image conversion model based on the Qwen/Qwen-Image base model, specifically designed to achieve image conversion from anime style to realistic style. This model utilizes LoRA and Diffusers technologies to generate corresponding realistic-style images based on text descriptions.

Computer VisionDiffusers

This project is a high-quality HQ4_K quantization of the MiniMax-M2 model, optimized specifically for text generation tasks and particularly suitable for dialogue scenarios. This quantized version does not use imatrix and maintains the model's performance.

Natural Language ProcessingGguf

JanusCoder-8B is an open-source code intelligence foundation model built on Qwen3-8B, aiming to establish a unified visual programming interface. This model is trained on JANUSCODE-800K (the largest multimodal code corpus to date) and can handle various visual programming tasks, including data visualization, interactive web UI, and code-driven animation.

MultimodalTransformers

Qwen-Image-Edit-Cosplay LoRA is an anime character dressing migration model fine-tuned based on the Qwen-Image-Edit-2509 image editing model. It focuses on accurately migrating the hairstyles, clothing, and decorative props of anime characters to real human images while maintaining the facial features of the original person.

Computer VisionDiffusers

This is a deep learning model based on the EfficientNet-B0 architecture, specifically designed for classifying the art styles of anime and visual novel images. The model can accurately identify 6 different anime art styles, including dark, flat, modern, cute, painting, and retro styles.

Computer VisionSafetensorsEnglish

A high-quality quantized version of GLM-4.6, implemented using advanced quantization techniques without using imatrix, maintaining good model performance and compatibility, suitable for various application scenarios such as dialogue.

Natural Language ProcessingGguf

An anime-style model focused on text-to-image generation, capable of generating 2D illustrations, character portraits, and character settings featuring cute girl images. The images have characteristics such as dynamic poses, clear structures, and strong lighting.

Computer VisionDiffusersEnglish

chroma_art-lora is a specially designed LoRA model aimed at endowing the generated images with unique artistic aesthetics, especially focusing on vivid colors and artistic styles. It is suitable for creating stylized digital artworks, such as anime, movie-like images, and desktop wallpapers.

Computer VisionDiffusers

animat3d_style_wan-lora is a LoRA model trained based on AI Toolkit by Ostris, specifically designed for text-to-video generation, which can bring unique 3D animation style effects to image generation. This model is fine-tuned based on the Wan2.2-T2V-A14B base model and supports use on multiple mainstream AI platforms.

Computer VisionDiffusers

Nova Anime XL is a text - to - image generation model based on the Stable Diffusion XL architecture, specifically designed to generate high - quality images in various styles such as anime, fantasy, and landscapes. It combines the advantages of multiple excellent base models and performs outstandingly in terms of details, characters, backgrounds, and color representation.

Computer VisionDiffusersEnglish

Noobai-XL-1.0 is a text-to-image generation model based on the diffusers library, specifically designed for generating anime-style girl images. This model was created by HetaKoneko, based on Laxhar/noobai-XL-1.0, and can generate anime images with a unique style.

Computer VisionDiffusersEnglish

This is a text-to-image generation model focused on generating anime and cartoon-style images. It can generate anime-style images containing various elements such as fantasy and beautiful women. The model is built on the OnomaAIResearch/Illustrious-xl-early-release-v0 base model and implemented using the diffusers library.

Computer VisionDiffusersEnglish

Illustrious-xl-early-release-v0 is a text-to-image generation model based on the Stable Diffusion XL architecture, specifically optimized for anime and 2D illustration styles, capable of generating high-quality image works based on text descriptions.

Computer VisionDiffusersEnglish

This is a high-quality quantized version of Moonshot AI's Kimi-K2-Instruct-0905 model, using the HQ4_K quantization method. It is specifically optimized for inference performance, supports a context length of 75,000, and is suitable for text generation tasks.

Natural Language ProcessingGgufOther

RUSKANIME2025 is a text-to-image generation model based on LoRA and Diffusers technologies, specifically designed to generate relevant anime-style images through specific trigger words. This model is built on the black-forest-labs/FLUX.1-dev base model and uses the diffusion LoRA template technology.

Computer VisionDiffusers