Zamość

Ośrodek Sportu i Rekreacji , Królowej Jadwigi 8 , Zamość, Poland, 22-400

The training room, located in the central part of Zamość, serves as an ideal venue for workshops. Its strategic location makes it easily accessible to participants from various parts of the city and neighboring towns. Additionally, this room stands out with its rich equipment, enabling the conduct of courses in an efficient and professional manner.

Lublin

Hotel Trzy Róże, Zemborzyce Dolne 96a, Lublin, Poland, 20-515

The training rooms are equipped with modern audiovisual equipment, enabling effective presentations and interactive training sessions. Additionally, there is fast and reliable internet available, facilitating easy access to online materials and communication with the training team. The facility is located just 9 kilometers from the center of Lublin. Situated on the main S19 route towards Kraśnik, it provides convenient access from Rzeszów, Warsaw, Łódź, and Białystok. Thanks to this central location, participants can quickly and comfortably reach the training venue, further easing event organization and ensuring participant comfort.

Explore Our Courses

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

 21 Hours
This instructor-led, live training in lubelskie (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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