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.

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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

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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.

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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.

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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.

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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”.

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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.

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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

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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.