# Fast Text-to-Image

This is a compact text-to-image generation model based on SD1, featuring small size and fast operation, ideal for node functionality testing.

FLUX.1-dev is a LoRA-based text-to-image generation model, specializing in pixel art style images, particularly suitable for game asset creation.

The GGUF quantized version of Stable Diffusion 3.5 Medium, suitable for text-to-image tasks and capable of running on legacy devices.

A text-to-image model based on Multimodal Diffusion Transformer (MMDiT), utilizing Adversarial Diffusion Distillation (ADD) technology to enhance image quality, typography, and complex prompt understanding.

TDD is a consistency distillation method through target timestep selection and decoupled guidance, significantly reducing the inference steps required to generate high-quality images (only 4-8 steps).

This is a text-to-image model based on Stable Diffusion technology, combining the features of ya3 and xtremixUltimateMerge_v1.5, suitable for generating high-quality images.

An efficient text-to-image model fine-tuned from Stable Diffusion XL, optimized for anime and artistic style generation

A distilled consistency adapter for Stable Diffusion XL, reducing inference steps to just 2-8 steps

ProllyMix is a text-to-image generation model based on Stable Diffusion, suitable for creative image generation tasks.