# Diffusion Model Fine-tuning

REALEDIT is an image-to-image transformation model based on Reddit edit data, capable of editing images according to text instructions.

This is a fine-tuning example model based on the second unit of the diffusion model course, designed for unconditional image generation tasks.

LoRA adapter trained based on the Flex.1-alpha model, specializing in generating high-quality background images

A single-image intrinsic image decomposition model fine-tuned based on Stable Diffusion, capable of decomposing images into albedo, diffuse shading, and non-diffuse residual components

A single-image intrinsic decomposition model fine-tuned based on Stable Diffusion 2, used to decompose images into albedo, roughness, and metallic properties

A monocular normal estimation model fine-tuned from a stable diffusion model, capable of predicting surface normal maps from a single image

A Flux fine-tuned model for creating canvas artworks, trained on publicly available AI-generated sticker data.

A text-to-image model based on LoRA technology, specializing in generating futuristic scenes with CYBRPNKZ architectural style.

A monocular normal estimation model fine-tuned using latent consistency distillation for predicting surface normal maps from single images

A monocular image normal estimation model fine-tuned based on Stable Diffusion, capable of predicting surface normal maps from a single RGB image

This is a fine-tuning example model based on Unit 2 of the Diffusion Model Course, designed for unconditional image generation tasks.

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

Fine-tuned from the Stable Diffusion 2.1 base model using zero terminal SNR scheduling on the LAION Aesthetics 6+ dataset, primarily for research demonstrations.

This is a fine-tuned diffusion model (Diffusion Model) specifically designed for generating butterfly images.

This is an image generation model based on the Diffusion Model, specifically fine-tuned for butterfly images.

This is an unconditional image generation model based on diffusion models, fine-tuned on a butterfly dataset

This is a diffusion model initialized with Google's DDPM bedroom image model and fine-tuned on the WikiArt dataset for unconditional image generation.