Unlock the power of Stable Diffusion for controlled image generation with an engaging, hands-on session led by Hajer Mabrouk and Raphaël Semeteys.
This talk will explore how generative AI can produce accurate, diverse, and inclusive images of yoga poses—essential for use cases where stock images or internet-sourced photos fall short.
By leveraging ComfyUI’s modular workflows, embeddings, inpainting, ControlNets, LoRA and FaceID for style and pose control, you will discover how to generate precise images with ease. From text-to-image generation to hybrid image-to-image workflows, we’ll showcase how to overcome key challenges like pose consistency and identity preservation.
The session will include live demos, practical tips, and real-world insights from the development of YogĀrkana, a dedicated yoga website.
You will leave with actionable knowledge on how to customize Stable Diffusion workflows to meet their own creative, commercial, or inclusive design needs.

Discover how to generate precise, diverse, and inclusive images using Stable Diffusion and ComfyUI. This session will show you how to control poses, styles, and character consistency for use cases like yoga pose visualization. Learn to master text-to-image and image-to-image workflows, leverage LoRA for lightweight customization, and create visually rich, inclusive image libraries. With live demos and actionable insights, this session will inspire your next creative AI project.