Mastering Stable Diffusion: Image Variations with Lambda Diffusers

Introduction to Stable Diffusion

Stable Diffusion is a groundbreaking text-to-image latent diffusion model developed by researchers and engineers from CompVis, Stability AI, and LAION. This innovative AI model has been trained on 512x512 resolution images sourced from a subset of the LAION-5B database, enabling it to produce high-quality visual content from textual descriptions.

Understanding Lambda Diffusers

The latest iteration of Stable Diffusion has been fine-tuned from the original CompVis/stable-diffusion-v1-3 model to accept CLIP image embeddings instead of text embeddings. This significant update allows users to create "image variations" akin to what DALLE-2 offers while leveraging the capabilities of Stable Diffusion. Furthermore, this version of the weights has been effectively ported to the Hugging Face Diffusers library. To utilize this feature through the Diffusers library, you'll need to grab the Lambda Diffusers repository.

Getting Started with Stable Diffusion Image Variations using Lambda Diffusers

In this guide, we will walk you through the process of using Stable Diffusion Image Variations with Lambda Diffusers. The tutorial will utilize Google Colab and Google Drive for ease of access and execution.

Preparing Dependencies

Download Necessary Files

Before beginning, ensure that you have downloaded all the necessary files required for the setup.

Install Required Libraries

Next, let's install the required libraries that support the Stable Diffusion and Lambda Diffusers functionalities. Use the following commands in your Colab notebook:

!pip install required-library-name

Import Required Libraries

Once the installations are complete, you will need to import the necessary libraries for running Stable Diffusion Image Variations:

import library_name

Image to Image Generation

Loading the Pipeline

Now, it's time to load the pipeline required for image generation:

from diffusers import StableDiffusionPipeline

Downloading the Initial Image

Next, download the initial image you wish to use for generating variations.

Generating the Images

The following steps will guide you through generating image variations:

1. Load the initial image you downloaded.
2. Run the model to generate variations of the image.
3. Save the output images to your Google Drive.
4. Show the generated images in your Colab notebook.

Visualizing Image Variations

After generating the variations, resize the images as necessary, concatenate them horizontally, and display them:

# Resize images code here
# Concatenate images code here

As illustrated, you will notice various unique variations of the initial image that you have provided as input.

Thank You

A special thank you to Hassen Shair for contributing to the development of this tutorial!

Open in Colab

Ready to start? Open this tutorial now in Google Colab to begin your journey with Stable Diffusion Image Variations!