How to Use GPT Image 2

Official GPT Image 2 Facts To Know First

Before writing prompts, make sure you understand what the model is designed to do.

This matters because many weak tutorials mix together ChatGPT product access, OpenAI API behavior, and third-party generator behavior. Those are different surfaces. A workflow can fail in one surface even when the model itself supports the capability.

The 5-Step GPT Image 2 Workflow

1. Choose the deliverable

Start with the asset you actually need:

• A square profile avatar
• A product hero image
• A vertical social ad
• A blog illustration
• A diagram or educational visual
• A storyboard frame
• An edited product photo
• A reference-based character image

Do not start with style words. Start with the output. A "cinematic neon image" is a vibe. A "vertical launch ad with a product centered and space for a headline" is a deliverable.

2. Select the right workflow

Use text-to-image when you want a new image from a written description. Use image edits or reference images when the result must preserve something from an uploaded image, such as a product shape, face angle, room layout, logo placement, or existing composition.

3. Write the prompt brief

A good GPT Image 2 prompt reads like a concise creative brief. It tells the model what the asset is, what should be visible, how it should look, where important elements belong, and what must not happen.

4. Generate one draft

Do not generate ten variations before you know whether the prompt is pointed in the right direction. Generate one draft first. The first output tells you whether the model understood the subject, composition, text, and constraints.

5. Revise one visible failure

Look at the generated image and name the failure:

• Wrong subject
• Weak composition
• Bad text
• Too much clutter
• Product shape changed
• Face or character drifted
• Wrong aspect ratio
• Missing negative space

Then change one instruction. If you change five things, you will not know what improved the image.

The Prompt Formula

Use this structure for most GPT Image 2 prompts:

Create [asset type] for [use case].
Subject: [main person, object, product, scene, or character].
Scene: [environment, background, and context].
Style: [photography, illustration, 3D, cinematic, editorial, etc.].
Composition: [camera angle, framing, layout, aspect ratio, negative space].
Text: [exact short words and placement, or "no text"].
Constraints: [what must stay unchanged, what to avoid, what should not appear].

The order matters because it keeps the prompt editable. If the result is too busy, revise the composition line. If the text is wrong, revise the text line. If the product changed, revise the constraints line.

Example 1: Turn a Vague Idea Into a Usable Prompt

Weak prompt:

Make a professional product image for my water bottle.

Improved GPT Image 2 prompt:

Create a square product hero image for a landing page.
Subject: a reusable stainless steel water bottle with a matte forest-green finish.
Scene: a bright kitchen counter with morning light and soft natural shadows.
Style: clean commercial product photography, premium but approachable.
Composition: the bottle is centered at a slight three-quarter angle with generous negative space on the right for a headline.
Text: no text inside the image.
Constraints: keep the bottle shape realistic, avoid fake logos, avoid hands, avoid cluttered props, avoid changing the cap color.

Why this works:

• It names the asset: square product hero.
• It defines the use case: landing page.
• It controls the layout: centered bottle, negative space.
• It blocks common failures: fake logos, hands, clutter, cap color drift.
• It leaves text out of the image, which is safer when the final headline can be added in HTML or a design tool.

Generated example output:

Example 2: Use GPT Image 2 With a Reference Image

Use a reference image when text alone cannot describe the important details. Product shape, exact pose, existing layout, character identity, and brand materials are good reasons to upload an image.

Reference-image prompt:

Use the uploaded product photo as the reference.
Preserve: product shape, front label placement, cap color, camera angle, and material texture.
Change: replace the background with a clean warm studio scene using beige surfaces and soft shadows.
Output: an ecommerce hero image suitable for a product detail page.
Constraints: do not alter the logo, do not invent new label text, do not change product proportions, do not crop the product.

The most important part is the separation between Preserve and Change. Without that separation, the model has to guess which details matter.

Reference image:

Generated edit:

Example 3: Prompt For A Social Media Ad

Create a vertical social media ad concept for a new AI note-taking app.
Subject: a laptop screen showing an abstract notes interface, with a notebook and coffee beside it.
Scene: modern desk setup in soft morning light.
Style: editorial tech photography with clean shadows and warm neutral colors.
Composition: vertical 9:16 layout, laptop in the lower half, empty space in the upper third for a headline.
Text: no text inside the image.
Constraints: avoid readable UI text, avoid real app logos, avoid extra hands, keep the workspace minimal.

This prompt deliberately says "no text inside the image." That gives the designer or page builder full control over the final headline. For ads and landing pages, this is often better than asking the image model to render exact marketing copy.

Generated example output:

Size, Quality, And Format Choices

GPT Image 2 supports flexible image sizes within documented constraints. Common choices include square, portrait, landscape, 2K, and 4K-style dimensions. Square images are typically fastest to generate.

For production work, draft in low quality first. Once the prompt is stable, move the same prompt to medium or high. This avoids spending final-quality generations on a prompt that still has basic composition problems.

How To Judge The First Output

Use this review table after the first generation:

This makes iteration faster because every failure maps back to one part of the prompt.

Common Mistakes To Avoid

Mistake 1: Asking for "better"

Do not write:

Make it better and more professional.

Write:

Make the background cleaner, remove extra props, keep the product centered, and preserve the original bottle shape.

The second prompt gives the model visible corrections.

Mistake 2: Mixing too many goals

Do not ask for a background replacement, new typography, product cleanup, style transfer, and campaign layout in the same first edit. Run the background or composition change first. Add text and campaign layout after the subject is stable.

Mistake 3: Trusting image text too early

GPT Image models have improved text rendering, but OpenAI still notes that precise text placement and clarity can be challenging. Keep in-image text short. If exact text matters, generate the image without text and add the final words in your design tool, website, or SVG layer.

Mistake 4: Treating ChatGPT UI and API as the same thing

ChatGPT product features, OpenAI API endpoints, and third-party generators can differ. If an upload button, edit option, model setting, or quality control is missing, check the specific surface you are using instead of assuming GPT Image 2 cannot do the task.

Practical Starting Templates

Template: Blog Illustration

Create a landscape editorial illustration for a blog post about [topic].
Subject: [main metaphor or scene].
Scene: [setting].
Style: clean modern editorial illustration, warm neutral palette, subtle depth.
Composition: 1536x1024 landscape, main subject centered, simple background, no clutter.
Text: no text inside the image.
Constraints: avoid brand logos, avoid small unreadable UI details, avoid photorealistic faces.

Template: Product Hero

Create a square product hero image for [product type].
Subject: [product description].
Scene: [background/environment].
Style: premium commercial photography.
Composition: product centered, slight three-quarter view, soft shadow, negative space for page copy.
Text: no text inside the image.
Constraints: preserve product shape, avoid fake logos, avoid extra objects touching the product.

Template: Reference Image Edit

Use the uploaded image as the reference.
Preserve: [identity/product/layout/style details].
Change: [one specific transformation].
Output: [final asset type].
Constraints: [drift risks to avoid].