stable diffusion webui colab
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Updated
Jun 14, 2023 - Jupyter Notebook
stable diffusion webui colab
fast-stable-diffusion + DreamBooth
Using Low-rank adaptation to quickly fine-tune diffusion models.
An open-source AI avatar generator web app - https://photoshot.app
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.
首个完整封装、一体化训练stable diffusion dreambooth的autodl镜像环境,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。
Crie imagens suas usando IA de forma fácil
Gradio wrapper for sd-scripts by kohya
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Fine-tuning of diffusion models
Implementation of DreamBooth in KerasCV and TensorFlow.
A re-implementation of Stable-Diffusion using better code pratices with faster and lower-memory usage.
Easy Mode Stable Diffusion process allows you to generate images based on your own photos in just three steps
Dreambooth for colab
Stable Diffusion Regularization Images in 512px and 768px on 1.5 and 2.1 checkpoint
Windows, macOS, and Linux desktop client for fine tuning Dreambooth models using Replicate's API.
Easy Images captioning under a good pyqt GUI
Using SageMaker and Dreambooth to fine-tune the Stable Diffusion model and make Lensa.ai style avatars
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