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How To Create Hyper-Realistic AI Images with Nano Banana Pro (Full Breakdown)
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Workflow for Creating Realistic AI Images
The video presents a step-by-step workflow for creating realistic images with GPT Image 2 and Nano Banana Pro. Its central recommendation is to start with a visual reference rather than asking an image model to invent the entire scene from scratch.
1. Find a reference image
- Search Pinterest for a photo with the desired setting, background, or composition.
- Use TikTok when the scene is more specific or easier to find in video. For example, take a screenshot of a street-interview frame to use as a reference.
- A reference can help preserve details such as lighting, background blur, and composition that a model might not infer from a text prompt alone.
2. Turn the reference into a detailed prompt
- Upload the image to Claude and ask it to create a detailed JSON prompt that recreates the image while ignoring on-screen text and buttons.
- The presenter recommends using a strong visual-analysis model, such as the Claude Opus model available at the time of recording. Gemini is also mentioned as an alternative.
- Treat the resulting prompt as a starting point, then refine details such as clothing and background objects.
3. Generate the image
- Paste the prompt into Higgsfield and choose the desired aspect ratio and resolution.
- For GPT Image 2 in Higgsfield, the presenter recommends 2K resolution and High quality. In the presenter’s tests, choosing 4K triggered platform upscaling that used more credits and could make the image look less natural, with smudgier or more heavily enhanced textures.
- The presenter also demonstrates generating images with Nano Banana Pro and using GPT Image 2 in ChatGPT or other platforms.
4. Add a product to the scene
- Attach a product photo during the prompt-analysis step and ask Claude to incorporate it into the scene—for example, by having an interviewer hold a cologne bottle.
- Provide the generated prompt and product reference image to the image generator.
- Alternatively, edit an already-generated image by supplying both the image and product photo with instructions to add the product.
Model Comparison
- GPT Image 2: The presenter favors it for realism, natural-looking results, and styling or “taste.” It is recommended when image quality matters more than generation speed.
- Nano Banana Pro: Described as faster and suitable for producing images at scale, though the presenter considers its styling and realism less strong in the examples shown.
The presenter notes that model names and versions mentioned in the recording may be outdated, but says the overall workflow remains the same with newer models.
Main speaker/source: Miko.
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