A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
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Updated
Nov 28, 2024 - Python
A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation
A Diffusion training toolbox based on diffusers and existing SOTA methods, including Dreambooth, Texual Inversion, LoRA, Custom Diffusion, XTI, ....
[ECCV2024] PartCraft: Crafting Creative Objects by Parts
Stable Diffusion Fine-Tuning techniques overview.
[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion
A novel zero-shot image harmonization method based on Diffusion Model Prior.
Bridging the domain gap between synthetic and real data using diffusion based image and video translation.
Code for Investigating Personalization Methods in Text to Music Generation
Stable Diffusion Regularization Images in 512px, 768px and 1024px on 1.5, 2.1 and SDXL 1.0 checkpoints
A simple caption editor for image datasets. Automatically create captions, and hone them to be right on target!
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.
Official Implementation for "A Neural Space-Time Representation for Text-to-Image Personalization" (SIGGRAPH Asia 2023)
[ACM MM 2023] - LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Fast finetuning using a booster model that puts the initial state to a local minimum
allenai/tango version of textual inversion
Textual Inversion for Personal Purpose
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.
Subject-Driven Generation Techniques for Stable Diffusion Model. A modern approach to data augmentation. Master's Thesis. Technical University of Denmark - DTU
A collection of tutorials about training and generating with Stable Diffusion.
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