O encontro dos avatares

Introduction

This tutorial will guide you through the process of creating a simulated meeting between two avatars using artificial intelligence tools. Inspired by the original concept of using ChatGPT for avatar interactions, we will utilize Stable Diffusion to create the avatars, Google Colaboratory for processing, and a chatbot named DatingAI to simulate the conversation. This approach demonstrates how you can leverage free resources to generate engaging AI-driven content.

Step 1: Set Up Your Environment

To begin, you'll need to set up your working environment for creating avatars and simulating conversations.

• Use Google Colaboratory:

  • Create a Google account if you don’t have one.
  • Access Google Colaboratory at colab.research.google.com.

• Install Required Libraries:

  • You may need to install libraries for Stable Diffusion and any additional tools. Use the following commands in a new Colab notebook:

    !pip install stable-diffusion
    !pip install gradio
    

• Access Stable Diffusion:

  • Ensure you have the necessary API keys and access to the Stable Diffusion extension. Look for resources or documentation specific to the Russian version, Kandinsky.

Step 2: Create Avatars

Now that your environment is set, you can create avatars.

• Generate Avatars with Stable Diffusion:

  • Input prompts to generate images of the avatars. For example:

    # Example prompt for generating an avatar
    avatar_prompt_male = "A portrait of a handsome man, digital art"
    avatar_prompt_female = "A portrait of a beautiful woman, digital art"
    

• Render Images:

  • Use the output images from the Stable Diffusion model and save them for further use.

Step 3: Integrate ChatGPT for Conversations

Next, we will set up the conversation simulation using the DatingAI chatbot.

• Set Up DatingAI:

  • Choose a suitable chatbot framework that uses GPT-3.5 Turbo.
  • Ensure you have access to the necessary API and documentation to facilitate the interaction.

• Script the Conversation:

  • Create a script where the avatars interact. You may need to refine the conversation to meet your expectations.
  • Example script format:

    conversation = [
        {"avatar": "male", "text": "Hello! How are you today?"},
        {"avatar": "female", "text": "I'm doing well, thank you! What about you?"}
    ]
    

Step 4: Use Sadtalker for Animation

To bring your avatars to life, you can utilize Sadtalker, which integrates with Gradio.

• Install Sadtalker:

  • Follow the documentation to install and set up Sadtalker within your Colab environment.

• Animate the Conversation:

  • Link the generated avatar images to the conversation script, allowing Sadtalker to animate the avatars speaking.
  • Example usage:

    # Pseudo code to animate avatars
    for line in conversation:
        animate_avatar(line['avatar'], line['text'])
    

Step 5: Troubleshoot Common Issues

During the setup and execution, you may encounter some common pitfalls.

• GPU Availability:

  • Google Colaboratory may not always allocate a GPU. Check if your runtime type is set to GPU under the Runtime menu.

• Sadtalker Display Issues:

  • If Sadtalker does not show up, try refreshing the page or restarting the Colab kernel.

• Gradio Compatibility:

  • Ensure that the versions of Gradio and other libraries you are using are compatible and updated.

Conclusion

By following these steps, you can successfully create and animate a conversation between two avatars using free AI resources. This project not only showcases the capabilities of AI in simulating interactions but also encourages creativity in how we use technology. Explore further by experimenting with different avatar designs and conversation scripts to enhance your project.