Sao Paulo - Nacoes Unidas Tower

12495, Nacoes Unidas Avenue, 15th floor, Sao Paulo , Brazil
This Regus Center is located on the 15th floor of the Torre Nações Unidas building. with proximity to the Berrini business ...

Sao Paulo, Top Center Paulista

854 Paulista Avenue,, Sao Paulo , Brazil, 01310-100
The Top Center in São Paulo is located on Paulista Avenue. The center is close every amenity from hotels to restaurants. It ...

Campinas - Shopping Galleria Plaza

Avenida Doutor José Bonifácio Coutinho Nogueira, 150, Campinas, Brazil, 13091-611
Accelerate your business and find a stimulating environment for your ideas and innovations in Campinas, Brazil's Silicon Vall...

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Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

 21 Hours
This instructor-led, live training in Sao Paulo (online or onsite) is aimed at intermediate to advanced-level data scientists, machine learning engineers, deep learning researchers, and computer vision experts who wish to expand their knowledge and skills in deep learning for text-to-image generation. By the end of this training, participants will be able to:
  • Understand advanced deep learning architectures and techniques for text-to-image generation.
  • Implement complex models and optimizations for high-quality image synthesis.
  • Optimize performance and scalability for large datasets and complex models.
  • Tune hyperparameters for better model performance and generalization.
  • Integrate Stable Diffusion with other deep learning frameworks and tools
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Introduction to Stable Diffusion for Text-to-Image Generation

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at data scientists, machine learning engineers, and computer vision researchers who wish to leverage Stable Diffusion to generate high-quality images for a variety of use cases. By the end of this training, participants will be able to:
  • Understand the principles of Stable Diffusion and how it works for image generation.
  • Build and train Stable Diffusion models for image generation tasks.
  • Apply Stable Diffusion to various image generation scenarios, such as inpainting, outpainting, and image-to-image translation.
  • Optimize the performance and stability of Stable Diffusion models.
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