Platform acceptance does not create submission rights
Contributors must have the right to submit the generated result and apply Adobe's generative AI labels correctly. Images with fictional people or property also need the current platform treatment for those subjects and any relevant release requirements.
A generated scene should not be submitted as an authentic news record simply because it looks documentary. Generated imagery and evidence of a real event are different content types, and metadata should not blur them.
Before submission, review Adobe's current generative AI guidelines.
IP risk often begins in the prompt
Artist names, known people, fictional characters, brands, creative-work titles, and protected marks can create problems in the prompt, file, or metadata. A final image without an obvious logo does not make those names safe to use in the title and keywords.
Describe visible material, period, light, composition, and commercial placement instead. This reduces rights ambiguity and gives the finished file a cleaner metadata path.
A technically clean batch can still contain too many versions of one choice
Generating dozens of color, angle, and background variations from one prompt is a common way for an AI batch to expand. Each file may look acceptable alone while the group still offers the buyer the same option.
Keep a smaller selection that represents different uses. Similarity is not limited to pixels; repeated intended use, title shape, and leading keywords also matter.
When you need to compare a batch, check the Adobe Stock similar-content risk.
Titles and keywords should describe the file you received
An object, action, or concept from the prompt may not survive generation. Titles and keywords should follow the finished file rather than the plan that produced it.
Lead with the visible subject, distinguishing details, and actual scene. Apply AI labels as the platform requires, but do not hide an unclear image behind a list of broad concepts.
The final decision is whether the file deserves submission
Correct AI labeling is one part of compliance. Unclear rights, structural errors, fake text, brand risk, near-identical variations, or inaccurate metadata can each make a file unsuitable for the upload queue.
Leaving an obvious problem out of the batch is usually cheaper than uploading it and rebuilding after a refusal. Rules can change, so Adobe's current documentation remains the final reference.
