# High-resolution Image Generation

A ControlNet PEFT LoHa model based on stabilityai/stable-diffusion-xl-base-1.0, mainly used for generating realistic cat photos.

This is an IP adapter based on the SD3.5-Large model, capable of using images as input conditions alongside text prompts to generate new images.

AMD Nitro Diffusion is a series of efficient text-to-image models, distilled from mainstream diffusion models on AMD Instinct™ GPUs. PixArt-Sigma Nitro is a high-resolution single-step inference model based on Transformer architecture.

FLUX.1-dev is a text-to-image generation model quantized to INT4 format using Optimum Quanto, suitable for non-commercial use.

A diffusion model fine-tuned based on Stable Diffusion 2.1-base, trained on LAION aesthetic 5+ data using zero terminal SNR scheduling

Kandinsky 2.2 is a text-to-image diffusion model that combines best practices from Dall-E 2 and latent diffusion models, introducing new innovations.