# Fast image generation

HiDream-I1 is an open-source image generation foundation model with 17 billion parameters, capable of producing industry-leading images in seconds.

HiDream-I1 is an open-source image generation foundation model with 17 billion parameters. The 4-bit quantized version can run on 16GB VRAM, enabling fast and high-quality image generation.

A text-to-image generation model based on LoRA technology, utilizing a diffuser architecture, capable of generating images with a Maniac Box style.

A LoRA model based on FLUX.1-dev, specializing in generating watercolor-style images.

A text-to-image generation model fine-tuned from FLUX.1-schnell, with distillation training removed, supporting classic CFG technology

A merged version based on Real Life v2 and Timeless models, focusing on hyper-realistic image generation with fast text-to-image conversion

FLUX.1 [schnell] is a calibrated flow transformer with 12 billion parameters, capable of generating high-quality images based on text descriptions and performing excellently in output quality and following prompts.

KOALA-Lightning-1B is a knowledge distillation model based on SDXL-Lightning. It achieves efficient text-to-image generation by compressing the U-Net structure, with a parameter scale of 1.16B.

PixArt-LCM is a text-to-image generation model based on the diffusion Transformer, combining the advantages of Pixart-α and LCM. It can quickly generate high-quality images according to text prompts.

A text-to-image generation model fine-tuned from SSD-1B using LCM-LoRA technology, supporting rapid generation of high-quality images

Anything V3 is a latent diffusion model designed specifically for anime enthusiasts, capable of generating high-quality, high-detail anime-style images with minimal prompts.

A text-to-image model fine-tuned on Stable Diffusion using Dreambooth, learning the concept of noggles_fastdb_4800

Stable Diffusion model fine-tuned on Pokemon dataset for generating custom Pokemon characters