Question 1

Can the AI generate images with my specific products?

Accepted Answer

Yes. We use advanced fine-tuning techniques like LoRA (Low-Rank Adaptation) and ControlNet on models like Stable Diffusion. By training the AI on a small dataset of your actual product photos, it learns to generate that exact item in new environments, lighting, and angles without hallucinating features.

Question 2

Who owns the copyright to the generated images?

Accepted Answer

Generally, images generated entirely by AI are not copyrightable by the creator under current US/EU law. However, you own the commercial usage rights provided by the API platforms (like OpenAI). We advise using AI for marketing assets, ad creatives, and backgrounds, while keeping core logos and trademarked assets human-created.

Question 3

What is the cost per generated image?

Accepted Answer

Using cloud APIs like DALL-E 3, costs range from $0.04 to $0.08 per image. If you require massive volume (hundreds of thousands of images), we can deploy custom Stable Diffusion models on dedicated GPU instances via AWS or RunPod, which drastically reduces the per-image cost to fractions of a cent.

Question 4

Can we ensure the AI follows our brand colors and style?

Accepted Answer

Absolutely. Standard text-to-image models struggle with precise brand compliance. We solve this by fine-tuning the model specifically on your brand kit and using ControlNet to enforce specific compositions, color palettes, and stylistic constraints, ensuring every output looks like it belongs to your brand.

Question 5

How long does it take to build a custom image pipeline?

Accepted Answer

A basic API integration for standard image generation takes 2–4 weeks. A fully customized pipeline with fine-tuned product models, automated upscaling, and CMS integration typically requires 6–10 weeks from discovery to production rollout.

Question 6

Can the AI add text to the generated images?

Accepted Answer

While newer models like DALL-E 3 and Midjourney v6 are getting better at rendering short text, they are still prone to spelling errors and unpredictable typography. For reliable text overlays (like ad banners), we build pipelines that generate the background image first, then use traditional graphic libraries to overlay precise, editable text.

Question 7

Do you use Midjourney, DALL-E, or Stable Diffusion?

Accepted Answer

We are platform-agnostic and use the right tool for the job. Midjourney excels at high-end artistic aesthetics but lacks an official robust API. DALL-E 3 is excellent for prompt adherence and quick integrations. Stable Diffusion provides the ultimate control, allowing us to fine-tune, use ControlNet, and host privately for maximum security and customization.

Question 8

How do you handle inappropriate or off-brand generations?

Accepted Answer

We implement strict input moderation to block risky prompts, and output validation to catch artifacts or NSFW content before it reaches your system. For public-facing apps, we use tools like Azure Content Moderator to guarantee brand safety.

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