Machine Learning Artificial Intelligence Python Data Scientist

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

2023년 5월 18일

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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

슬라이드 보기 ↗

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