AyenAutomatesWorkflow example
Gen AI product imagery
A reviewed creative-production pattern for generating product-image variations from authorized source material.
01 / The problem
Where the work gets stuck
Product-image production requires consistent source material, usage rights, visual review, and clear approval boundaries.
02 / The approach
One connected workflow
A controlled image workflow can prepare variations from authorized inputs and route selected outputs for brand and rights review.
Start with the information and channels the workflow is allowed to use.
Make validation, routing, and exception handling explicit.
Keep people responsible for decisions that need context or approval.
03 / Workflow
A practical view of how information moves from the first input to the final handoff.
- 01
Confirm ownership and permitted use of the source material.
- 02
Define the visual brief and acceptable variation range.
- 03
Generate candidate outputs within the approved tool terms.
- 04
Review product accuracy, quality, and publication rights.
04 / Project details
Product reference workflow
The system starts from authorised product photographs and a defined visual brief. Its purpose is to generate additional campaign concepts without losing the recognisable product characteristics that matter to the brand.
Input preparation
- Organise product references by item, angle, material, colour, and visual identity.
- Define the scenes, themes, seasons, or campaign directions required.
- Establish which product details must remain exact and which environmental elements may vary.
- Prepare the source set for a custom model or controlled image-generation workflow.
Image variation
- Produce photorealistic or stylised concepts according to the brief.
- Generate multiple scenes, environments, compositions, and seasonal variations for the same product.
- Keep the product reference visible throughout the review process.
- Route selected outputs through product-accuracy, brand, and usage-rights review.
Marketing handoff
- Prepare approved formats for catalogues, ecommerce pages, social content, or campaign material.
- Keep generation settings and selected references available for consistent follow-up work.
- Separate exploratory concepts from assets approved for publication.
A production workflow of this kind can combine Replicate, Hugging Face, custom model training, and image-generation models before human review of the final assets.
A useful starting point
Is a similar handoff slowing your team down?
Bring the current process, the systems involved, and the exceptions your team handles manually. We will identify a useful first scope together.
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