This tutorial walks through ChatGPT Image 2 (GPT Image 2) from first prompt to production workflow. GPT Image 2 is OpenAI's most capable image generation model — available on aicut without a separate OpenAI subscription.

Step 1: Access ChatGPT Image 2 on aicut

aicut gives you GPT Image 2 in the image creation interface. Select it from the model picker — it appears alongside nano-banana-pro, gpt-image-1, and the nano-banana-2 family.

You don't need an OpenAI ChatGPT Plus subscription. aicut handles API access across all models from a single credit system.

Step 2: Understand What GPT Image 2 Does Best

Before writing your first prompt, it helps to know where GPT Image 2 performs better than alternatives:

GPT Image 2 Strength	Why It Matters
Instruction-following fidelity	Complex prompts with 5+ elements render correctly
Text in images	Signs, labels, posters with readable, spelled-correctly text
Photorealistic scenes	Product photography, interiors, architecture
Precise object placement	"On the left", "in the background", "centered" are respected

Where GPT Image 2 is NOT the automatic choice: highly stylized, artistic, or illustration-style outputs — where nano-banana-pro or nano-banana-2 often produce richer aesthetic results.

Step 3: Write Your First Prompt

GPT Image 2 responds to prompts like a language model processes instructions — it reads the whole sentence, not just keywords. This changes how you should write:

Structure: Subject → Setting → Lighting → Style → Specifics

[What] + [Where/On what surface] + [Lighting] + [Visual style] + [Extra details]

Example — poor prompt:

candle dark room atmospheric

Example — effective prompt:

A single white pillar candle burning in a completely dark room. 
The flame is the only light source. Melted wax has dripped onto 
the wooden table below. Macro photography, shallow depth of field.

The second prompt gives GPT Image 2 enough to work with — surface, lighting condition, state of the object, and visual style.

Step 4: Iterate Using the Same Prompt With Variations

GPT Image 2 produces different results on each generation from the same prompt. Effective iteration:

Vary one element at a time:

Run the prompt 3× to get different interpretations
Pick the strongest output
Modify one element (lighting, angle, surface) and run 3× more
Repeat until the output matches your intent

Use negations to correct unwanted elements:

Original: A kitchen interior, morning light.
Refined: A kitchen interior, morning light. No people. No food on the counter. No clutter.

Add camera and angle directives:

"Overhead view" / "bird's eye perspective"
"Eye level" / "at table height"
"45-degree angle"
"Close-up, shallow depth of field"
"Wide shot, everything in focus"

Step 5: Text-in-Image Workflow

If your output needs readable text, GPT Image 2 is the best current option. Follow this workflow:

Put the exact text in quotation marks within the prompt
Specify the font style (serif, sans-serif, handwritten, chalk, block letters)
Specify the background or material the text appears on
If the text appears incorrect in the first generation, try again — GPT Image 2 self-corrects across generations

Example:

A poster with the words "OPEN DAILY 8AM–6PM" in large, clean 
sans-serif white letters on a navy blue background. No decoration. 
Minimalist. Print-ready.

Step 6: Product Photography Workflow

Product photography is one of GPT Image 2's strongest use cases. Standard structure:

[Product description and materials] + [Surface and background] + 
[Lighting direction] + [Camera angle] + [Style reference]

Example:

A matte black protein powder tin with silver lid and minimal branding, 
standing upright on a dark concrete surface. Gym weights blurred in the 
background. Dramatic side lighting from the right. Eye level. 
Commercial product photography.

For e-commerce product shots, add "clean white background, no shadows" or "soft shadow below" as a final line.

Step 7: Compare Against nano-banana-pro

Before finalizing any output, run the same prompt in nano-banana-pro. The comparison is often instructive:

GPT Image 2 output: More literal, higher instruction fidelity, readable text, precise placement
nano-banana-pro output: More aesthetically rich, better stylistic interpretation, stronger artistic quality

Neither is universally better. For commercial/product photography and text-in-image: GPT Image 2 wins most often. For creative, artistic, or stylized content: nano-banana-pro often wins.

aicut lets you switch between models in the same session.

Step 8: Integrate Into a Content Workflow

For social media content creation:

Use nano-banana-2-flash for rapid idea testing (fast generation)
Use GPT Image 2 for final outputs when the concept involves text or precise scene composition
Use nano-banana-pro when aesthetic quality matters more than precise instruction-following

For product photography:

GPT Image 2 for initial output
Refine with 2–3 prompt iterations
Compare final output against nano-banana-pro before publishing

For marketing assets (posters, thumbnails, covers):

GPT Image 2 when the text content must be readable
nano-banana-pro when the visual style is more important than text accuracy

Key Takeaways

ChatGPT Image 2 (GPT Image 2) is best for complex prompts, text in images, and photorealistic product/scene photography.
Write full descriptive sentences, not keyword lists. Negations and spatial directives work.
Text-in-image: put exact text in quotes, specify font style and background.
Compare GPT Image 2 outputs against nano-banana-pro — each wins in different scenarios.
Available on aicut without a separate OpenAI subscription.

Start your first ChatGPT Image 2 generation at aicut — no OpenAI subscription required.