WIP Dreambooth implementation on Sagemaker

🖼 Dreambooth example using my photos

My first day at CMU, according to Stable Diffusion

Pre-Rendered Regularization Images fou use with fine-tuning, especially for the current implementation of "Dreambooth"

Imaging tools CLI for preprocessing datasets before model training.

Prepared dataset for training lora or dreambooth.

🧑‍🎨 AI avatar generator built with Stable Diffusion.

"abbreviation" of fast-stable-diffusion

A re-implementation of Stable-Diffusion using better code pratices with faster and lower-memory usage.

A training template for Low-rank adaptation diffusion models.

Implementation of DreamBooth in KerasCV and TensorFlow.

An easy to use python SDK and CLI for Astria.ai

Fine-tuning of diffusion models

Windows, macOS, and Linux desktop client for fine tuning Dreambooth models using Replicate's API.

Based on a buildspace project where I learned about Stable Diffusion to create a web app where users can generate avatars with my likeness.

基于Stable Diffusion优化的AI绘画模型。支持输入中英文文本，可生成多种现代艺术风格的高质量图像。| An optimized text-to-image model based on Stable Diffusion. Both Chinese and English text inputs are available to generate images. The model can generate high-quality images in several modern art styles.

A vast assortment of class regularization images in sets of 1500

Crie imagens suas usando IA de forma fácil

Dreambooth (LoRA) with well-organized code structure. Naive adaptation from 🤗Diffusers.

文生图大模型训练工具箱 （完整封装stable diffusion全量微调训练流程， 可训练定制自己的独特风格、人物概念，开箱即用， 含自动图像标注、权重转换、训练参数配置等）