A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
-
Updated
Dec 21, 2024 - Python
A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
[ACM MM 2023] - LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
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
A novel zero-shot image harmonization method based on Diffusion Model Prior.
Fine-tuning of diffusion models
[ECCV2024] PartCraft: Crafting Creative Objects by Parts
A Diffusion training toolbox based on diffusers and existing SOTA methods, including Dreambooth, Texual Inversion, LoRA, Custom Diffusion, XTI, ....
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
Pre-rendered regularization images of men and women, mainly faces, seeking to generate more realistic images (without wax skin)
Custom Textual-Inversion for Stable-Diffusion models with Keras.
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.
Add a description, image, and links to the textual-inversion topic page so that developers can more easily learn about it.
To associate your repository with the textual-inversion topic, visit your repo's landing page and select "manage topics."