Introduction
This workflow is perfect for creating high-quality product images for e-commerce, marketing, and design projects. It helps you combine a product image with a display stand seamlessly, ensuring the style matches and the product fits perfectly. With steps like object extraction, size adjustment, and final refinement, you can quickly generate professional visuals that look polished and ready to use. It's an easy and efficient way to prepare great-looking product images.
Joy_caption_two
Joy_caption_two is a node that generates captions for images using advanced language models. It processes images with the JoyTwoPipeline to create meaningful and relevant text descriptions. This tool is ideal for AI artists and anyone looking to automate captioning, making it easy to pair images with accurate, context-rich descriptions.
Read more:https://github.com/TTPlanetPig/Comfyui_JC2
Download:https://github.com/TTPlanetPig/Comfyui_JC2.git
Workflow overview
How to use this workflow?
Step 1:Upload Product and Display Images
Start by uploading a product image and a display stand image. The Joy Caption Two module will generate prompts based on the uploaded images to match their content.
Step 2:Ensure Style Matches
The IPA module helps keep the style of the generated image consistent with the uploaded images.
Step 3:Control Object Outline
ControlNet modules are used to capture and control the shape and outline of the product, making sure the structure stays accurate.
Step 4:Extract and Fix the Product
The product is cropped out from the image, and any imperfections are fixed to prepare it for the next steps.
Step 5:Adjust Product Size
The productâs size is adjusted to fit well with the display stand image, ensuring a proper match.
Step 6:Combine Product and Display
The product is merged with the display stand to create a single image. This step generates a preview of the final result.
Step 7:Upscale and Refine
Finally, the image is upscaled and fine-tuned to improve its quality and make it look polished.
