How do you edit images with AI? Can you edit without rewriting prompts again and again? NadouPro’s new image-editing idea: instructions plus reference images

Key takeaways: The pain of traditional retouching lies in the full set of professional operations that sit between “knowing what to do” and “explaining it clearly.” NadouPro’s image-editing flow changes the interaction logic: use natural language to give instructions and use reference images to provide the answer. Kling 4.0 handles the full process from basic adjustments to advanced detail editing, while Nano Banana Pro multi-image fusion seamlessly blends new objects into the base image. Change the background, swap clothing, adjust a pose, or place a product—if you can describe it clearly, you can edit it.

The real cost of image editing is communication

"Change the background to a beach"—saying this takes only two seconds, but in traditional software it becomes a complete chain of operations: cut out the subject, make a selection, find assets, adjust perspective, blend edges, and color-correct. The barrier to image editing has never been creativity; it is translating a plain-language sentence into dozens of professional steps.

The value of AI editing tools is that they remove this translation process. You are responsible for explaining what you want, and AI is responsible for carrying it out. Only one variable remains: how to say it so the AI understands it best.

The basics of instruction-based editing

In NadouPro’s Image node, editing an image only takes three steps: upload the base image, write one editing instruction, and generate. How you write the instruction matters—the more specific, the better:

Change the background to an evening beach while keeping the person’s pose and light direction unchanged

Compared with "change it to a beach background," the first version locks in three constraints: the subject, the lighting, and the time of day. The AI’s room for interpretation is guided in the right direction. Kling O1 covers the complete workflow from basic cropping adjustments to advanced detail editing. Color changes, object swaps, and blemish removal all follow the same instruction logic.

Reference images: if it is hard to explain, provide the answer directly

Some needs are hard to describe in words—"I want a hat in this style to appear in the image." Describing it at length is not as effective as simply dropping in an image. Multi-image fusion is built for this: the base image provides the scene, the reference image provides the element to add, and the fusion result takes both into account.

Typical combinations:

• Base image plus object image: Use a full-room shot as the base and a sofa reference image to specify the style. After fusion, the object’s perspective, light, and shadow are matched automatically

• Base image plus character image: Use a lifestyle photo as the base and a character reference image to specify the pose, with a natural connection in spatial relationship

• Multi-image layering: Provide separate references for the scene, subject, and props, and each element will be placed where it belongs during fusion

Nano Banana Pro’s strengths are precise instructions and multi-image fusion. The proportional relationship between reference images is key to the credibility of the fusion. If you are not sure, place the reference images according to real proportions before submitting.

Editing ideas for poses and scenes

To change a pose, you do not need to describe joint angles frame by frame. Provide a reference image of the target pose and write the instruction "make the person match this pose." The model will preserve the person’s identity and replace the limb posture. Scene transformation follows the same logic. Whether changing a backyard into a tropical courtyard or an office into a café, just lock in "keep the person and replace the environment" in the instruction.

The three most common scenarios for e-commerce and marketing teams are: changing product images to a clean background, changing clothing to a specified style and color, and placing a product into a lifestyle image. The instruction logic is consistent; only the constraints differ.

Video can use the same logic too

The logic of image editing extends to video: Gemini Omni Flash supports multimodal input and video editing. After uploading video footage, you can also describe the change with instructions. Needs such as "replace the can on the desk with branded bottled water" can be executed directly on the video. Finalize the image, then use the same modification logic for video, without having to rethink the workflow.

Four practical tips

1. Use high-resolution versions for both the base image and reference images, because fusion edge quality is directly affected by input resolution

2. Give only one main editing goal per instruction. Split multiple needs into multiple rounds so each result is easier to control

3. Keep the base image and reference images as close in style as possible: realistic with realistic, illustration with illustration

4. For objects involving scale, such as handheld products or tabletop decorations, the size relationship in the reference image should follow real-world logic

FAQ

Q: What is the difference between instruction-based editing and Text to Image?

A: Text to Image generates from scratch, while editing makes targeted changes while preserving the subject of the base image. Use editing when you want to “modify,” and use generation when you want to “create.” The two can be chained together on the canvas.

Q: How many reference images can I add at most?

A: Nano Banana Pro supports multi-image fusion, combining a base image with multiple reference images. The exact number depends on the options in the generation panel.

Q: What should I do if I am not satisfied with the edited result?

A: Tighten the constraints in the instruction and try another round, or split a major change into two smaller rounds. Vague instructions plus complex requirements are the combination most likely to go wrong.

Q: Can editing keep a person’s appearance unchanged?

A: Yes. Lock the person’s identity in the editing instruction and use it together with a character reference image. Changing the pose or scene will not swap the face.

Q: Does product placement in real photos look natural?

A: Multi-image fusion automatically matches perspective and lighting. When the perspective relationship is correct, the connection between light and shadow in the placement result is believable.

To try more features, visit NadouPro: NadouPro

Contains AI-generated information that may be incorrect. Please verify independently.