PixelWave is a text-to-image model developed based on Flux.1. It has been optimized through Nunchaku quantization (SVDQ), providing an efficient image generation solution for users with different GPU configurations.

Computer VisionDiffusersEnglish

LibreFLUX-ControlNet is a text-to-image generation model based on the ControlNet architecture, using LibreFLUX as the base Transformer model. This model is trained on the SA1B dataset and can generate high-quality image content based on text prompts and control images.

Computer VisionDiffusers

CenKreChro-SVDQ is a quantized version of the text-to-image generation model merged based on Chroma and Flux Krea. It is optimized using SVDQuant technology and offers two quantization formats, INT4 and FP4, suitable for different generations of GPU hardware respectively.

Computer VisionDiffusersEnglish

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

This is a LoRA (Low-Rank Adaptation) model trained based on the Qwen-Image model, specifically designed for text-to-image generation tasks. This project is trained using AI Toolkit and can convert text descriptions into high-quality images, supporting use in various image generation tools.

MultimodalDiffusers

XL-Sat-IOR is a text-to-image generation model based on the Stable Diffusion and Stable Diffusion XL architectures. It can generate images with a high degree of realism, rich colors, movie-like texture, fine details, excellent lighting and shadow effects, and vivid facial expressions.

Computer VisionDiffusersEnglish

This is a LyCORIS adapter based on the PixArt-900M-1024 model, specifically designed for text-to-image conversion tasks. This model can generate corresponding images based on the input text description and supports image generation at multiple resolutions.

Computer VisionDiffusers

svizz is a text-to-image generation model based on LoRA technology. It uses LyliaEngine/Pony_Diffusion_V6_XL as the base model and can generate high-quality image content through specific trigger words.

Computer VisionDiffusers

Stable Diffusion v1-5 is a text-to-image generation model based on latent diffusion technology, capable of generating realistic images according to text descriptions. This model is trained on the LAION-2B dataset, supports English text input, and generates images with a resolution of 512x512.

MultimodalDiffusers

lans_v1 - lora is a text-to-image conversion model trained using the AI Toolkit by Ostris based on the Qwen/Qwen-Image model. It is optimized using LoRA technology and has good image generation capabilities.

MultimodalDiffusers

This is a text-to-image generation model based on Stable Diffusion and Stable Diffusion XL technologies. It is specifically optimized for portrait, texture, and skin performance, capable of generating realistic and natural images.

Computer VisionDiffusersEnglish

This is a text-to-image generation model based on Stable Diffusion XL, optimized specifically for Asian-style image generation, capable of generating image works with realism and aesthetic appeal.

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 fine-tuned using LoRA technology based on the Qwen-Image model. It can convert the input text description into corresponding images and supports generating various types of images such as character images, film and TV characters, and specific scenes.

MultimodalDiffusers

dottrmstr-long-captions-lora is a text-to-image generation model based on LoRA technology, trained with specific tools. It can generate images with unique styles and is suitable for various image generation frameworks.

Computer VisionDiffusers

dottrmstr-long-captions-lora is a LoRA model trained based on the Qwen/Qwen-Image base model, specifically designed for text-to-image generation tasks. This model is trained using an AI toolkit, supports multiple tool calls, and can generate images with a unique style.

MultimodalDiffusers

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

franc3sca is a low-noise LoRA model based on the tencent/SRPO base model, specifically designed for text-to-image generation tasks. This model effectively triggers image generation through the specific trigger word 'franc3sca' and has the characteristic of low noise.

Computer VisionDiffusers

This is a LoRA model that fine-tunes SD3.5-Medium using the DiffusionNFT method. It adopts an innovative online reinforcement learning paradigm and performs excellently in the text-to-image generation task, significantly improving the generation quality and training efficiency.

Computer VisionDiffusers