WIP Dreambooth implementation on Sagemaker
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Updated
Nov 3, 2022 - Shell
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.
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.
AIGC模型训练工具箱 (完整封装、一体化训练stable diffusion, 可训练定制自己的独特大模型风格、人物,开箱即用,内含详细教程)
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