Product Image
The Product images module helps you quickly generate product image sets suitable for different platforms and marketing scenarios. You can upload product assets, combine reference style images to extra
The Product images module helps you quickly generate product image sets suitable for different platforms and marketing scenarios. You can upload product assets, combine reference style images to extract visual styles and scene directions, and then generate Sense images and Selling-point images for e-commerce, social media, and advertising through platform strategies, aspect ratio, and selling point configurations.
What this module can do
Product images helps you:
Upload product assets and quickly generate marketing image sets
Reference excellent cases and automatically extract styles and scenes
Adapt to the visual needs of different platforms and regions
Generate Sense images and Selling-point images
Use AI to automatically improve product selling point copywriting
Quickly complete the process from assets to marketing content
How to use Product images
Step 1: Upload product assets
First, upload your product image assets.The system supports:
Uploading up to 6 asset images
JPG, PNG, and WEBP formats
Recommended uploads:
Clear product subject
Clean background
Product images with multiple angles
👉 This step determines the quality of the generated content.
Step 2: Choose reference style（Optional）
If you want the generated results to be closer to a certain visual style, you can enable “reference style”（enable reference style）.
After enabling, you can:
Upload up to 6 reference style images
Click “Extract style&sense”
The system will automatically analyze:
Style color palettes（usually 3–4 colors）
Scene tags
Overall visual direction
After extraction, you can:
Confirm the current style and scenes
Re-extract new results
Replace reference images and analyze again
⚠️ Note:
After uploading reference images, you must click “Extract style&sense”,
otherwise the system cannot generate viral image sets based on the reference style.
👉 This step determines the overall visual direction of the generated content.
Step 3: Configure generation strategy
Configure the generation strategy according to your target platform and market.
You can choose:
Platform
Owned platform
Amazon
TikTok
Shopify
Aspect ratio
1:1
4:3
3:4
16:9
（Language）
Chinese
English
Region
Supports most mainstream marketing regions
Different platforms and regions will affect:
Page composition
Visual style
Copywriting expression
Content generation direction
👉 This step determines the final marketing scenario adaptation of the content.
Step 4: Set generation content
Choose the types of images you want to generate.
You can generate:
Sense images
Selling-point images
The system supports:
Up to 5 Sense images
Up to 5 Selling-point images
You can freely combine based on your needs:
Generate only Sense images
Generate only Selling-point images
Generate both types at the same time
What are Sense images suitable for?
Sense images are more suitable for:
Showing product usage scenarios
Creating atmosphere and immersion
Seeding content and social media marketing
For example:“What does the product look like in a real-life scenario?”
What are Selling-point images suitable for?
Selling-point images are more suitable for:
Highlighting product functions
Emphasizing core advantages
E-commerce conversion and advertising display
For example:“Why is this product worth buying?”
👉 This step determines whether the content focuses more on “awareness” or “conversion”.
Step 5: Fill in Core selling points
In the Core selling points section, enter the important features and advantages of the product.
For example:
Product name
Core selling points
Target audience
Intended scenarios
Specific parameters
If you are unsure how to describe the product, you can click “AI Writing” in the upper-right corner.
The system will:
Optimize existing content
Supplement selling point expressions
Automatically organize marketing language
If you have not entered any content, you can also directly click “AI Writing”.The system will automatically generate Core selling points descriptions based on:
Uploaded product images
Product features
Visual content
👉 This step determines the marketing expression and conversion direction of the generated content.
Results
Through the Product images module, you can continuously achieve:
Quickly generate marketing image sets
Unify visual style and brand expression
Reduce design and content production costs
Adapt to different platforms and regional needs
Improve product display efficiency and content production speed
Build content assets more suitable for AI and platform recommendations
FAQ
Why are the generated results not exactly the same as the reference style images?
The system references the overall style direction of the uploaded images instead of directly copying the reference images. The generated results will also adapt according to your product features and platform strategy.
Why didn’t the reference style take effect after uploading images?
After uploading reference images, you need to manually click “Extract style&sense”. If this step is not completed, the system cannot analyze the reference style.
What is the difference between Sense images and Selling-point images?
Sense images focus more on atmosphere and usage scenarios, making them suitable for social media and awareness content. Selling-point images focus more on functions and information expression, making them more suitable for conversion scenarios.
Can I generate only one type of image?
Yes. You can generate only Sense images or only Selling-point images without generating both at the same time.
Will AI Writing reference the uploaded images?
Yes. If no Core selling points are entered, the system will automatically analyze the uploaded product images and generate selling point descriptions.
Why are the generated results different across platforms?
Different platforms have different content preferences and display logic. For example, TikTok focuses more on visual attraction and content feeling, while Amazon focuses more on conversion and product information expression.
Is generating more images always better?
Not necessarily. It is recommended to first generate a small number of high-quality images for testing, then continue optimizing and expanding based on performance.
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