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

 21 Hours
This instructor-led, live training in Poland (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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Provisional Courses

Introduction to Stable Diffusion for Text-to-Image Generation

2025-06-02 09:00
21 hours
Online
3870 PLN (Online)

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

2025-06-16 09:00
21 hours
Online
3870 PLN (Online)

Introduction to Stable Diffusion for Text-to-Image Generation

2025-06-30 09:00
21 hours
Online
3870 PLN (Online)

Introduction to Stable Diffusion for Text-to-Image Generation

2025-07-14 09:00
21 hours
Online
3870 PLN (Online)

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