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Generating Photorealistic Images using AI with Diffusers in Python

In this live training, you'll learn about state-of-the-art diffusion models and how to generate photorealistic images using Python.
Sayak Paul
Sayak Paul

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Generative AI is taking the world by storm, and image generation AIs like Stable Diffusion and DALL-E 2 are disrupting every creative industry.

In this live training, you'll learn about state-of-the-art diffusion models and how to generate photorealistic images using Python, the PyTorch deep learning package and the Hugging Face Diffusers package.

What will I learn?

  • Learn how diffusion models work and how you can use them
  • Learn how to use state-of-the-art pre-trained diffusion model for image generation
  • Learn to generate photorealistic images with Diffusers and how to control them

Additional Resources

Link to slides

Google Colab File

विषय

Machine LearningArtificial IntelligencePythonData Scientist

संबंधित

ट्यूटोरियल

How to Use the Stable Diffusion 3 API

ट्यूटोरियल

How to Run Stable Diffusion: A Step-by-Step Guide

और देखें →