How to use ImageGPT v3.5
References
Upload between one and seven images and refer to them in upload order as <image1>, <image2>, ...
<image7>. The first image is the main image and determines the output proportions. The remaining
images can define an identity, outfit, pose, background, object, palette, or style.
Writing a prompt
A strong request describes: what to change → where to change it → which reference supplies the details → what must stay unchanged → how lighting and style should match.
- Assign an explicit role to every reference.
- Name the exact subject and image number instead of using “he,” “she,” or “it.”
- List the features that must not change, such as the face, pose, composition, clothing, or background.
- Put exact poster or sign text in double quotes and specify its color, typeface, and perspective.
- Split complex edits into stages: handle the character and outfit first, then the background and lighting.
Examples
Preserve the face, pose, and body proportions of the person in <image1>. Replace only the outfit
with the outfit from <image2>, accurately transferring its material and details while matching the
lighting in <image1>.
Preserve the subject from <image1>. Replace the background with the scene from <image2> and apply
its lighting naturally to the face, hair, and clothing. Keep everything else unchanged.
In <image1>, replace the sign text with "OPEN 24/7". Preserve the original color, letter weight,
angle, perspective, and glow. Keep the surrounding architecture unchanged.
Resolution
Choose the output resolution: 1K is about 1.6 megapixels (1280×1280 for a square), 2K is about 4 megapixels (2048×2048 for a square). The result keeps the proportions of the first image, so there is no aspect ratio to choose. References larger than 4 megapixels are automatically reduced while preserving their proportions. A single run can produce up to four results.