dreamina-edit-image

To edit an existing image using a reference image, you provide the reference image URI, a text prompt describing the edits, and a desired output ratio to the edit_image tool. This enables deterministic background replacement, style adjustments, and object edits.

Reference-based image generation is a process of creating new visual content by applying text prompts to a source image URI. It allows designers to generate multiple iterations rapidly while maintaining visual consistency across marketing and social media assets.

Yes, you can generate multiple image variations from one reference image for marketing by submitting different text prompts to the edit_image tool. This supports rapid content creation and design iteration directly from the original visual asset.

To perform background replacement on a reference image, you need to provide the reference image URI, a text prompt specifying the new background, and the desired output ratio. The edit_image tool processes these inputs to deliver the final edited visual.

Yes, reference-based image editing works for adjusting object styles by utilizing a reference image URI and targeted text prompts. The tool applies these style modifications across design and content creation workflows deterministically.

The limitations of using a reference image for AI image generation include the strict requirement of a valid image URI and specific output ratio inputs. Without these precise API-like endpoint parameters, the deterministic editing workflow cannot execute successfully.