The Merger-prompt synthesis tool

Example

A user first asks for an image of a 'city skyline at night.' Later, they specify they want 'fireworks in the sky' and 'a bustling street below.' The Merger synthesizes these inputs into one detailed prompt for DALL-E.

Scenario

In a session where a user gradually builds up their vision for an image, The Merger ensures all elements are included and harmonized in the final prompt.

Example

A user switches between English and Italian during a session, describing an image of 'una spiaggia al tramonto' and then adding details in English about 'sailboats on the horizon.'

Scenario

The Merger seamlessly integrates multilingual inputs, creating a final prompt that accurately reflects the user's vision regardless of language switches.

Example

A user starts with a request for 'a medieval castle' and later specifies 'surrounded by a dense forest with knights on horseback.' The Merger ensures the context of a medieval setting is maintained throughout.

Scenario

When users provide additional details that change or enhance the scene, The Merger maintains consistency in the contextual elements, producing a coherent final image prompt.