₦airaland Forum

If you make flyers for workshops, church events or small businesses, you know what happens when the venue changes after the design is done. A quick text edit can turn into a full redo if the words are baked into the image. One way to keep revisions simple is to generate the background first, then add the event details as editable text.

GPT Image 2.6 is available on PWZ AI for generating images from prompts and editing uploaded images. You can use Flare to try a few layouts quickly or Sunburst when the background needs more detailed work.

Say you’re making a WhatsApp flyer for a Saturday baking class. Here’s a prompt you can try:

“Create a vertical flyer background for a baking workshop. Put a bowl of dough, a rolling pin and a light dusting of flour in the bottom third. Keep the top half plain and bright so dark text will be easy to read. Use warm window light. Leave out all text and logos.”

Open the result in the design editor you already use. Add the workshop name, date, venue, fee and booking number as separate text layers. Then send the draft to your own phone and open it from the chat. If you have to zoom in to read the date or booking number, make those details bigger before sharing it.

For a second version, try a different crop before generating another background. A square crop can work for an Instagram post if it still leaves room for the title. Save the editable file alongside the exported image so a last-minute change takes one text edit.

For those who make flyers for clients, which takes you longer these days: finding a background that fits the brief or handling the revisions after the first draft?

For small businesses, creating product videos can be expensive. A good video may require lighting equipment, filming, editing, and several attempts before the final result is ready.

But what if a business could explore different advertising ideas before spending money on a full production?

This is where AI video generation becomes interesting. Tools such as Seedance 2.5 allow creators to explore video concepts using text prompts, images, and supported reference materials.

Consider a small Nigerian business selling handmade leather bags.

The owner already has product photographs but wants to create a short promotional video for Instagram or TikTok.

Instead of immediately arranging a video shoot, the business could explore three different concepts.

1. A product-focused video

The camera slowly approaches the bag, highlighting its shape, material, and overall design.

This approach is useful for exploring product presentation, but the generated result must be checked for changes in stitching, logos, and proportions.

2. A lifestyle video

The bag appears in an everyday setting, such as a cafe or workspace.

This concept helps explore how the product might fit into a customer's daily life.

However, AI-generated scenes should not be presented as accurate demonstrations if the product's appearance or features have changed.

3. A brand-focused video

Instead of showing product details, the video focuses on lighting, atmosphere, and visual identity.

This may be useful when planning a social media campaign or developing a consistent visual direction.

The challenge is making sure the final video communicates something meaningful rather than simply looking attractive.

How Should Small Businesses Evaluate AI Videos?

I think the most useful approach is to treat generated clips as creative drafts.

Before publishing a product video, businesses should check:

- Does the product look like the real item?
- Are the colours and materials accurate?
- Is the logo displayed correctly?
- Does the camera movement help communicate the idea?
- Would a real product photograph or conventional video be more trustworthy?

There is also the issue of cost.

AI tools may reduce some early production expenses, but repeated generations, subscription fees, internet access, and editing time still need to be considered.

For small businesses operating with limited marketing budgets, these factors matter.

Where Seedance 2.5 Fits

Seedance 2.5 supports text-to-video, image-to-video, and reference-guided creation. It can be used to explore different visual concepts before deciding which idea deserves further production.

However, reference images do not guarantee that every product detail will remain accurate.

That is why human review remains important, especially when the generated video is intended for advertising.

Final Thoughts

AI video generation could become a useful planning tool for small businesses, particularly those that already have product photographs but limited video production resources.

The goal should not be to replace accurate product photography with unrealistic visuals.

It should be to explore ideas, compare creative directions, and make better production decisions.

I help promote Seedance 2.5, so I want to be transparent about my connection to the product.

For business owners and content creators here, would you use AI-generated videos to test advertising concepts before filming?

Or do you think traditional product photography and editing still offer better value?