Efficient E-commerce Design: Streamlined Workflow for Model Replacement in Product Images

The importance of design in the e-commerce industry is self-evident. A great design not only helps enhance brand image but also increases conversion rates and improves user experience. However, designers often face challenges such as tight deadlines, diverse demands, and difficult collaboration. How to efficiently complete design tasks has become a problem that every e-commerce team must overcome.
This sharing focuses on e-commerce design scenarios and summarizes the universal ComfyUI workflow solution for model replacement in e-commerce product images, helping designers quickly improve efficiency and break through bottlenecks.
Replace Models in Generic E-commerce Product Images
Workflow Introduction
This workflow is divided into three parts. The first part uses Portrait Master and WD14 Tagger to reverse-engineer prompts, allowing you to choose nationality and modify the model’s skin tone. The second part uses ControlNet to control the image, followed by the SDXL model for image generation. The third part optimizes the generated image with the Flux model. Finally, an overlay process is applied. The built-in sampler parameters are pre-set, and you can directly run it. Come and try it!
RunningHub is the world’s first open-source ecosystem-based AI graphic, audio, and video AIGC application co-creation platform. Through a modular node system and cloud computing power integration, it transforms complex processes such as design, video production, and digital content generation into “building block” style operations. The platform serves users from 144 countries, processing over a million creative requests daily, fundamentally reshaping the traditional content production model.
RunningHub is not only a creation tool but also a creator ecosystem community! It supports developers in uploading nodes and workflows to earn revenue, forming a sustainable economic model of “creativity – development – reuse – monetization.”
RunningHub is the world’s first open-source, ecosystem-based AI platform for co-creating graphics, audio, and video content. It uses a modular node system, where each node performs a specific creative task—like a digital building block. This allows users to build custom workflows for design, animation, and content generation without needing deep technical skills.
By integrating cloud computing, RunningHub makes powerful AI tools accessible to anyone, anywhere. It currently serves users in 144 countries, handling over a million creative requests daily.
What sets RunningHub apart is its community-driven model. Developers can upload their own nodes and workflows, which other users can reuse. In return, creators can earn revenue, establishing a cycle of creativity → development → reuse → monetization.
In essence, RunningHub is not just a tool—it’s a creative economy, enabling users to collaborate, innovate, and profit within a shared AI-powered ecosystem. It transforms traditional content creation into a faster, smarter, and more collaborative experience for the digital age.