Data & AIData & AI
Conference50min
BEGINNER

Mastering Image Generation with Stable Diffusion

This session demonstrates using ComfyUI to harness Stable Diffusion for generating accurate and diverse yoga pose images. It covers modular workflows, style and pose control, and overcoming challenges like pose consistency. Participants will gain practical insights and tips for customizing workflows, with live demos and real-world examples from the YogĀrkana project.

Raphaël Semeteys
Raphaël SemeteysWorldline

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Friday, June 13, 10:10-11:00
Room 4B
talks.description
Unlock the power of Stable Diffusion for controlled image generation with an engaging, hands-on session using ComfyUI.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.
yogārkana
comfyui
stable
diffusion
talks.speakers
Raphaël Semeteys

Raphaël Semeteys

Worldline

France

Raphaël has 25 years experience in IT in several business fields and positions (dev, run, business analyst, project manager, architect, consulting, presales... and now DevRel).
With a strong expertise about Free and Open Source Software (9 years in a dedicated skill center, animating communities, talks and articles...) he created the QSOS method and project many years ago.
He is also known as Raphiki Yogeek and is a certified Yoga teacher.
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