How to Edit & Transform Photos with AI with GPT Image 1

Add an Image node with your source photo, then add a second Image node with GPT Image 1 selected. Connect the first node's output to the second node's input. GPT Image 1 has no configurable parameters — quality is fixed at high, and there are no style or strength sliders. The editing behavior is entirely controlled by your prompt text, which simplifies the workflow: write what you want changed, and the model figures out how.

GPT Image 1's unique strength is understanding what you mean, not just what you say. "Make this casual selfie look like a professional headshot" works — the model infers that this means: improve lighting evenness, smooth the background, enhance facial clarity, and adjust color grading to look studio-quality. "Make this product photo look more premium" triggers: enhanced shadows, richer material textures, and more refined composition. Other editors need you to specify each of these changes individually.

For complex transformations, chain multiple GPT Image 1 nodes — each building on the previous edit. First node: "Remove the distracting billboard in the background." Second node: "Make the sky more dramatic with golden hour colors." Third node: "Add lens flare coming from the top right." Each step produces a clean output that becomes the input for the next, allowing fine-grained control over complex edits without writing one overwhelmingly detailed prompt.

When you want to change one element while keeping others untouched, explicitly state both: "Remove the car from the street but keep the road, sidewalk, and all pedestrians unchanged." Without the preservation instruction, GPT Image 1 may interpret "remove the car" as permission to modify surrounding elements for a cleaner result. The more specific your preservation list, the more predictable the edit boundaries.