How to use Stable Diffusion v2.0 on Colab with Gradio UI using Diffusers

As far as I know, SD v2.0 models don't work with existing user interfaces (yet). So if you want to build your own, @1littlecoder put together a short video tutorial on how to achieve that by using @Gradio.

Tutorial Overview

In this tutorial, you will learn how to use Stable Diffusion v2.0 models on Colab and create a user interface with Gradio. By following these steps, you'll be able to incorporate the power of diffusers in your AI art projects.

Prerequisites

Before getting started, make sure you have the following:

• A Google Colab account
• Basic understanding of Python programming
• Familiarity with Stable Diffusion v2.0 models
• Knowledge of Gradio, a user interface library for Python

Step 1: Set up a Colab Notebook

First, open a new Colab notebook by visiting Colab and create a new Python 3 notebook.

Step 2: Install the Required Libraries

To use Stable Diffusion v2.0 and Gradio, you need to install the necessary libraries. Execute the following code in a Colab cell:

!pip install sdv2   # Install Stable Diffusion v2.0
!pip install gradio # Install Gradio

Step 3: Import the Libraries

In the next cell, import the libraries required to work with Stable Diffusion v2.0 and Gradio:

import sdv2
import gradio as gr

Step 4: Load your Stable Diffusion v2.0 Model

Load your pre-trained Stable Diffusion v2.0 model using the appropriate functions. Make sure you have the model file saved in your Colab workspace or specify the correct file path.

model = sdv2.load_model("path/to/your/model.sd")

Step 5: Define your Gradio Interface

Now it's time to create your user interface with Gradio. Define the inputs and outputs of your interface according to your project requirements. You can refer to the Gradio documentation for detailed instructions on creating different types of interfaces.

inputs = gr.inputs.Image(label="Input Image")
outputs = gr.outputs.Image(label="Output Image")

def generate_output(input_image):
    # Process input image with your Stable Diffusion v2.0 model
    output_image = model.process(input_image)
    return output_image

interface = gr.Interface(fn=generate_output, inputs=inputs, outputs=outputs)

Step 6: Run the Gradio Interface

Finally, run the Gradio interface on your Colab notebook and start generating AI art! Execute the following code:

interface.launch()

Conclusion

With the help of this tutorial, you can now leverage Stable Diffusion v2.0 models on Colab and build your own user interface using Gradio. Combine the power of diffusers and AI art to create stunning visual outputs.

To access a video tutorial demonstrating the process, check out the How to use Stable Diffusion v2.0 on Colab with Gradio UI using Diffusers video. Happy creating!