Morph Studio

What is the problem your solution addresses? (150 word limit) Current AI image generation tools only surface the final output, hiding the underlying transformation process. During generation, models go through hundreds of intermediate states, but these are never exposed to the user. As a result, potentially valuable or unexpected images are generated and immediately discarded.

For creatives like us, professional photographers who have integrated AI into our workflows, this creates a gap between control and outcome. We are often searching for specific aesthetics, subtle transitions, or novel visual ideas, but the system only returns a single result, limiting exploration. As more creatives adopt AI tools, the need isn’t just faster outputs, but greater visibility and control over the generation process. Without access to these intermediate states, users miss opportunities for discovery, iteration, and creative direction.

Why did you pick this solution, and how does it address the problem? (150 word limit) We chose this solution to make the AI image generation process transparent, navigable, and reusable for creatives. Instead of treating generation as a black box that outputs a single result, Morph exposes the full transformation between the input and output.

By allowing users to select reference images and surface every intermediate frame, Morph directly addresses the loss of potentially valuable outputs. Creatives can explore, select, and branch from moments that would otherwise be discarded, turning passive waiting time into active creative exploration. Centralizing reference assets also reduces the need to switch between tools and manually maintain consistency. At the same time, capturing the full lineage of each output, including inputs, prompts, and parameters, makes the process reproducible.

Together, these design decisions shift AI image generation from a one-shot output into a controllable, iterative workflow.

Built With

• figma