Define the image's use, dimensions, and references. Try generation or editing, and check the details.
Start with what you will use the image for: an explanation, a post, a cover, or a product display. Then choose whether you need to generate it from scratch, use an image as a reference, or edit an existing original.
A reference image helps clarify composition, color, and details, but you need to say what to preserve and what to change. If you only need a small edit, try it on a copy and compare it with the original.
You can start with a tool you know or choose a model within a broader platform like Higgsfield or Magnific. One platform does not mean one model. Choose based on the type of work, inputs, and cost available to your account.
Check the result at its publishing size: text, numbers, logo, proportions, and details. Upscaling or generative editing can add things that were not there, so a clearer appearance alone is not enough to judge an image's accuracy.
Some tools help with preparation; others generate the output. Higgsfield and Magnific bring multiple models together. Choose the model for the part you're creating and your available plan.
See tool details and uses in the Tools library →You photographed a product with your phone, but the lighting looks yellow. Upload the image to Nano Banana and ask it to adjust only the lighting and colors, without changing the product's shape. Use the same image as a reference to create a shot from another angle for a post on your page. Then make a promotional poster in your brand colors using ChatGPT Images.
These tools keep getting updated, and what is best today may change in two months. Try the same prompt in two tools and compare.
Any illustrative image should clearly be presented as an illustration, not as a real photo.
Open the menu and choose what fits your inputs and desired result. The method's guide appears directly below it.
Describe the image elements, composition, lighting, and dimensions, and explain how each element supports the message. Choose the right model within the platform and try a first version before developing it further.
Try it on your work: Prepare what you'll work on and start with a small part. Review the result before continuing.
Open any step by its heading. Each explains what to do, why, and what to check before continuing.
An educational poster is different from a product photo or an image enhancement. The use determines the inputs.
Each approach needs a different description. A reference helps with the look, while an edit needs more precise limits.
The platform name is not the model name. You will find different options within the same platform.
Changing everything at once makes it harder to tell why the result improved.
An image that looks clear on a large screen may have text that is too small on a phone.
Open a prompt and fill in your details. Empty fields remain visible so you don't forget them.
Write the prompt in a conversation with the suggested tool after preparing the files listed in the steps.
Copy the prompt as it is, or tailor it with your details first.
Dimensions, references, and fixed details affect the result. The word “professional” alone is not enough.
Copy the prompt as it is, or tailor it with your details first.
The most important condition is that a real photo keeps the details people rely on. You are only improving the lighting and clarity, which protects your credibility. If the image includes a person, get their consent before publishing it.
If there's a problem, name the unsuitable part, show an example, and request a specific edit.
