This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On". ACM Multimedia 2023
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Updated
Sep 5, 2023 - Python
This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On". ACM Multimedia 2023
A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
A collection of tutorials about training and generating with Stable Diffusion.
Official Implementation for "A Neural Space-Time Representation for Text-to-Image Personalization" (SIGGRAPH Asia 2023)
[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion
Stable Diffusion Regularization Images in 512px, 768px and 1024px on 1.5, 2.1 and SDXL 1.0 checkpoints
Fast finetuning using a booster model that puts the initial state to a local minimum
Fine-tuning of diffusion models
A novel zero-shot image harmonization method based on Diffusion Model Prior.
A Diffusion training toolbox based on diffusers and existing SOTA methods, including Dreambooth, Texual Inversion, LoRA, Custom Diffusion, XTI, ....
PartCraft: Crafting Creative Objects by Parts (ECCV2024)
This repository contains the implementation of DreamBooth with Stable Diffusion. You can also find instructions to train a model on a vast.ai instance.
Code for Investigating Personalization Methods in Text to Music Generation
Custom Textual-Inversion for Stable-Diffusion models with Keras.
Pre-rendered regularization images of men and women, mainly faces, seeking to generate more realistic images (without wax skin)
This is a repo providing same stable diffusion experiments, regarding textual inversion task and captioning task
A large library of textual inversion embeddings trained on a works of a real anime artists
Subject-Driven Generation Techniques for Stable Diffusion Model. A modern approach to data augmentation. Master's Thesis. Technical University of Denmark - DTU
A docker manager to receive a small set of image data, automatically retrain the pre-trained stable diffusion model and deploy a docker container with an API to consume the new instance of this model.
Imaging tools CLI for preprocessing datasets before model training.
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