Text to Image
Cool Image Generation from Reference — AI Image Prompt
The user instructed GPT Image 1.5 to create a 'super cool picture' using an image of two people as a reference. The prompt is conversational and not fully detailed, but it indicates an image-to-image process. - AIPinMaker
Prompt
Create a creative image of Cool Image Generation From Reference. Style: photorealistic. Composition: balanced and well-framed. Lighting: natural with cinematic mood. Category: photography. Reference: cool-image-generation-from-reference-2372.
Prompt breakdown
- Subject
- Cool Image Generation From Reference visualized as a creative photorealistic scene tied to reference cool-image-generation-from-reference-2372
- Style
- photorealistic
- Lighting
- natural with cinematic mood
- Composition
- balanced and well-framed
- Mood
- cinematic
Remix ideas
- Swap the reference ID to cool-image-generation-from-reference-XXXX for a fresh base while keeping photorealism
- Introduce faint digital grain to nod at the generation process without breaking the natural lighting
- Shift framing slightly off-center to add subtle tension while preserving the cinematic mood
How to use this AI Image prompt template
1Copy the prompt — grab this template’s prompt and negative prompt. 
2Pick a model — choose a recommended AI model for the best match. 
3Generate — open the studio with one click and create your result.
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# Nano Banana Image Generation Prompt Rules When generating images using Nano Banana, the prompt must ALWAYS strictly follow the JSON format defined below. ## Prompt Schema ```json { "image_type": "Define the specific medium, art style, or format of the source image.", "time_period_and_year": "Estimate the specific year or decade based on fashion, technology, image quality, and color grading visible in the photo.", "mood_and_vibe": "Describe the emotional atmosphere, energy, and intangible 'feeling' evoked by the image (e.g., the specific psychological impression it gives).", "subject": "Describe the main character(s) focusing on demographics, body morphology, distinct physical features, and posture.", "clothing": "Describe the outfit in detail, strictly specifying garment names, fabric textures, patterns, colors, and how the clothes fit on the subject.", "hair": "Describe the hair color, specific hairstyle name, length, and texture.", "face": "Describe facial features, skin texture, makeup details, and the exact facial expression.", "accessories": "List all visible accessories, jewelry, glasses, or held items, including their material and design details.", "action": "Describe the specific activity, movement, or interaction occurring in the scene.", "location": "Describe the environment, visible background elements, architectural style, and spatial context.", "lighting": "Analyze the light source, direction, color temperature, hardness/softness of the light, and shadow characteristics.", "camera_angle_and_framing": "Describe the vertical and horizontal angle of the camera relative to the subject (e.g., eye-level, low-angle), and the shot composition size.", "camera_equipment": "Estimate the likely camera type, lens focal length (e.g., wide-angle vs telephoto), aperture effect (depth of field), and film stock or digital sensor characteristics.", "style": "Describe the overall aesthetic, color palette, artistic technique, and visual processing style.", "negative_prompt": "List visual defects or unwanted elements to be excluded to ensure high quality." } ``` ## Instructions 1. **Output Format**: The output must be a single valid JSON object. 2. **Completeness**: All fields are required. If a field is not applicable, provide a reasonable default or describe it as "neutral" or "standard". 3. **Detail**: Be descriptive and specific in each field to ensure high-quality image generation. 4. **Language**: The values in the JSON should be in English (as most image generation models are optimized for English prompts), unless otherwise specified.
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FAQ
- Why include the specific reference code in the prompt?
- It grounds the abstract concept in a concrete identifier, helping the model produce consistent outputs linked to cool-image-generation-from-reference-2372.
- How does the photography category affect the final look?
- It steers the model toward realistic textures and natural light behavior rather than illustrative or stylized treatments.