Z-Image-Re-Turbo is a text-to-image generation model that has been optimized for de-reduction and re-acceleration based on the Z-Image-De-Turbo model. This model aims to balance the convenience during training and the speed during inference. It restores the fast generation ability close to the original Turbo model while maintaining the same training-friendly features as Z-Image-De-Turbo, enabling it to be perfectly compatible with a large number of trained LoRA models in the Z-Image ecosystem.

MultimodalDiffusers

This is the Nunchaku quantization (SVDQ) version of the UltraReal Fine-Tune text-to-image model based on Danrisi's Flux architecture. The model offers two quantization formats: INT4 for non-Blackwell architecture GPUs (before the 50 series) and NVFP4 for Blackwell architecture GPUs (50 series), aiming to reduce hardware requirements while maintaining image generation quality.

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

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

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

A text-to-image generation model based on sdxl-turbo and processed by Nunchaku quantization, aiming to generate high-quality images according to text prompts. This model is optimized for efficient inference, significantly reducing the model size while maintaining performance.

Computer VisionDiffusersEnglish

poshanimals is a text-to-image generation model trained based on the FLUX.1-dev model. It is trained using AI Toolkit by Ostris and can generate image works with a specific style according to text descriptions.

Computer VisionDiffusers

Noobai-XL-1.0 is a text-to-image generation model based on Stable Diffusion XL technology, focusing on generating realistic and lifelike images, and providing high-quality AI generation solutions for the field of image creation.

Computer VisionDiffusersEnglish

AiGirl_II is a text-to-image generation model built on black-forest-labs/FLUX.1-dev, combining LoRA technology and the Diffusers library, specifically designed for generating images in a specific style. This model uses the CC BY-NC-ND 4.0 license and is suitable for non-commercial use.

Computer VisionDiffusers

DreamShaper 8 LCM is a text-to-image generation model optimized based on DreamShaper-8. It is specifically integrated with the Latent Consistency Model (LCM) technology, aiming to achieve fast and high-quality image generation. The project description indicates that the imatrix training of the current model may not be fully sufficient, and it is mainly used for demonstration and testing purposes.

Computer VisionGguf

An AI model for text-to-image generation under Apache 2.0 license, capable of producing aesthetically valuable, cinematic-quality realistic images in just four inference steps.

Computer VisionGgufEnglish

Stable Diffusion 3.5 Medium is a mid-scale text-to-image diffusion model developed by Stability AI, supporting high-quality image generation.

Computer VisionGgufEnglish

Teenz is a LoRA project trained based on the FLUX.1-dev model. It realizes the text-to-image generation function through specific trigger words and is mainly aimed at non-commercial image creation.

MultimodalDiffusersEnglish

Diffusers version of the FLUX.1-dev Depth ControlNet checkpoint developed by Xlabs AI for text-to-image generation tasks.

Computer VisionDiffusersEnglish

LANTERN is an innovative method that accelerates visual autoregressive models through relaxed speculative decoding, aiming to improve the efficiency of text-to-image generation.

MultimodalTransformers

This is a text-to-image generation model based on AI technology, specifically designed to generate images featuring Bashkir women. Triggered by specific prompt words, this model can generate Bashkir female images in various scenarios and styles, providing inspiration for artistic creation and design.

Computer VisionDiffusers

This repository contains popular LoRAs trained by users of Shakker AI for the FLUX.1-dev model, which can be used for text-to-image generation tasks.

Computer VisionDiffusersEnglish

A quantized version of stable-diffusion-3-medium, developed based on the original model of Stability AI, providing GGUF format models with multiple quantization levels for text-to-image generation tasks.

MultimodalGgufEnglish

PixelGen is an advanced text-to-image generation model developed by HelpingAI. It has 3.47 billion parameters and can generate high-quality visual images based on text descriptions, providing a powerful AI tool for creative design and practical applications.

Computer VisionDiffusersEnglish

A text-to-image generation model trained by rd690 based on NxtWave's 'Build Your Own Gen AI Model' course, specializing in animal-themed image generation.

Computer VisionDiffusers