
Use case 01
Use GPT Image 1.5 when the team needs model evaluation without losing the same campaign memory that powers the rest of the platform.

Image / GPT Image 1.5
GPT Image 1.5 is another engine-specific still route inside Hadogen's image stack, useful when the team wants to compare behavior without leaving the platform context.

Primary fit
Model evaluation

Core control
Image engine tests

Deliverables
Alternative still behavior
Use cases
These pages are now filled as operating surfaces, not placeholders, so each route explains where it fits inside the wider Hadogen workflow.

Use case 01
Use GPT Image 1.5 when the team needs model evaluation without losing the same campaign memory that powers the rest of the platform.

Use case 02
GPT Image 1.5 is strongest when image engine tests needs to stay visible and repeatable across more than one launch or format.

Use case 03
The route makes the most sense when alternative still behavior should move directly into engine fit and then into a broader Hadogen release package.

Route sequence
This is the sequence teams typically follow when they use this route as part of a broader campaign system.
Use GPT Image 1.5 when the team needs model evaluation but still wants the route attached to the same campaign spine and decision history.
The route is structured around image engine tests, which helps teams move from direction into alternative still behavior without dropping context.
The final step is not just generation. GPT Image 1.5 stays valuable because engine fit remains visible inside the same release cycle.
How it works
Each module explains what this lane controls, where it fits, and how it connects to the wider Hadogen system.

01
GPT Image 1.5 fits teams working on model evaluation. The route becomes more valuable when that job stays tied to the same campaign context as the rest of Hadogen.

02
GPT Image 1.5 is built around image engine tests. That focus keeps the output narrower and more repeatable than a general-purpose generator surface.

03
GPT Image 1.5 should end in alternative still behavior, then feed directly into engine fit and the wider campaign system instead of stopping as a disconnected draft.

Related routes

FAQ
GPT Image 1.5 is built for teams focused on model evaluation who still want that work attached to the same campaign operating layer as briefs, references, review, and delivery.
The route is mainly about image engine tests. That is the main lever it gives operators while still pushing toward alternative still behavior.
Most teams move from GPT Image 1.5 into Flux 2 once alternative still behavior is ready for engine fit or for the next step in the release cycle.