To fix this, you have to stop using vague terms like "keep it consistent" and start treating identity as a technical contract.
Define your protected details #
Consistency is meaningless unless you define exactly what needs to be preserved. Before you even hit generate, you need a checklist of "protected" vs "flexible" traits.
Protected: These are the non-negotiables. For a product, this is the silhouette, exact dimensions, and material. For a character, it's the bone structure, hair color, and specific accessories.Flexible: Elements the AI can reinterpret to fit the scene, like lighting, posture, or background interaction.Manually Verified: Things the AI always hallucinates, such as logos, legal text, or specific dates.
When you move from a "hope it works" approach to a "checklist" approach, your review process becomes objective. You aren't asking "does this look right?" but rather "is the cap construction still accurate to the source?"
Assign specific roles to your references #
Dumping five reference images into a prompt creates a tug-of-war where the model tries to average everything out. The secret to a high-end AI workflow is giving every single image one specific job.
Instead of a pile of images, structure your internal brief (or your prompt logic) to assign roles. One image handles the subject identity, another dictates the camera angle, and a third sets the color palette. This prevents the environment reference from accidentally altering the design of your product.
Here is how I structure my reference mapping to keep things tight:
reference_1:
role: subject_identity
preserve: [silhouette, proportions, material, primary_color]
reference_2:
role: composition
borrow: [camera_angle, negative_space, subject_scale]
reference_3:
role: environment
borrow: [lighting_direction, background_context]
avoid: [modifying_subject_geometry]
The prompt engineering for identity preservation #
The biggest mistake in image-to-image prompting is mixing "what stays" with "what changes" into one messy paragraph. To get a professional result, you need to explicitly separate the preservation instructions from the transformation instructions.
If I'm taking a product photo and moving it into a cinematic campaign shot, I don't just describe the scene. I tell the model exactly what to protect first, then I describe the new environment.
Here is a practical tutorial on how to frame this in your prompt:
Use the supplied image as the source product.
[PRESERVATION]
Preserve the following identity markers: product silhouette, exact proportions, cap construction, material texture, and primary color. Do not alter the geometry of the object.
[TRANSFORMATION]
Place the product on a wet studio surface.
Camera Angle: Low angle, looking up.
Lighting: Dramatic side-lighting with high contrast.
Environment: Dark, moody atmosphere with clear negative space on the right for copy.
This approach removes the guesswork for the LLM agent or diffusion model, ensuring the brand identity survives the creative transformation.