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I am building a bespoke agent designed to emulate a client’s specific icon and illustration library. The goal is for users to input a basic prompt and receive an output that matches the style of the client’s custom-trained Adobe Firefly models.

 I have tested both natural language and JSON-scripted system instructions. JSON is currently yielding higher accuracy for structural adherence.

 While I get excellent results using a structured Workflow, the client requires this to function as a standalone Agent. Despite tight prompting, the model still produces significant stylistic variance.

 Beyond further prompt refinement, are there specific configurations within Agent Builder or architectural approaches to better "lock" a model into a narrow stylistic family? I am looking for ways to bridge the gap between a custom-trained Firefly model and the agent's output.

Achieving stylistic parity with Adobe Firefly custom models in Pencil Agent Builder

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