Image purpose
Define which buyer concern the image should address and what evidence must remain visible.
AI product image drafts
Aisle first connects each visual to a buyer question and required proof. After the listing pack is ready, generate one 1K image draft at a time, inspect it, regenerate it, approve it, or download it.
Strategy before generation
The product does not treat a gallery as decoration. Prompts come from a selected direction, proof requirements, and the sequence planned in the final listing pack.
Define which buyer concern the image should address and what evidence must remain visible.
Use up to six structured image prompts with asset type, negative constraints, and required inputs.
Generate from text or use one approved product image as a visual anchor for an image-to-image draft.
Inspect the draft, check its warning list, approve, reject, regenerate, or download the result.
From buyer concern to visual draft
Generation becomes available after the strategy and prompt pack exist. A real product check remains mandatory.
Define the product facts, buyer concerns, selected angle, proof blocks, and visual hierarchy.
Select the planned asset type whose purpose and evidence requirements match the next gallery need.
Upload a JPG, PNG, or WebP product image only after confirming the right to use it, or generate without a source for a more conceptual draft.
Create a single 1K PNG draft in the current 4:5 web format and wait for the asynchronous job to complete.
Check shape, color, packaging, included parts, invented details, and marketplace requirements before approving or regenerating.
Transparent demonstration
This is a demonstration of the input and review logic. It is not a generated asset, customer gallery, or performance result.
Product-image planning context
Show the bin at a believable scale and make the handle and stackable edge easy to inspect.
One seller-owned product photo with confirmed color, shape, and included lid.
Place the product in a neutral shelving scene while preserving the supplied construction details.
Compare the output with the real product and reject it if dimensions, hardware, color, or package contents drift.
AI draft, not product evidence by itself
Generative models can change important details even when a source photo is used. Aisle exposes that risk instead of calling every output final.
Image generation requires a completed final listing pack and an available image prompt.
The current workflow creates one 1K PNG draft per generation, not an automatic finished gallery.
It does not guarantee exact typography, measurements, product geometry, packaging, or infographic accuracy.
Source-material rights must be confirmed, and every result must be compared with the real product.
Aisle does not guarantee marketplace acceptance, uniqueness, conversion, or legal clearance.
Next step
Build the listing strategy, choose the image job, and keep the real product as the approval standard.