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+ ---
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+ license: mit
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+ tags:
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+ - generated-from-code
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+ - gpt-image-2
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+ - ai-image-generator
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+ - text-to-image
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+ - image-generation
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+ - veo4
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+ ---
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+
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+ # GPT Image 2 Generator
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+
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+ This model card describes the **GPT Image 2 Generator** workflow in the
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+ [GPT Image 2](https://veo4.im/gpt-image-2) ecosystem. It is written for creators,
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+ marketers, designers, and builders who need a practical online image generator
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+ for photoreal scenes, posters, branded graphics, diagrams, infographics, and
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+ other prompt-driven visual assets.
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+
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+ This repository does not ship model weights. It documents a hosted generation
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+ experience and a product workflow around modern AI image creation. For the live
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+ tool, visit [GPT Image 2 Generator Online](https://veo4.im/gpt-image-2).
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+
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+ ## Model Description
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+
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+ GPT Image 2 Generator focuses on image-generation tasks where visual quality and
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+ layout control matter at the same time. The workflow is designed around:
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+
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+ - **Text-aware image generation** for posters, labels, packaging concepts,
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+ product cards, signs, UI boards, and social graphics.
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+ - **Structured visual output** for diagrams, maps, explainers, educational
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+ graphics, and information-rich compositions.
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+ - **Photoreal commercial scenes** for fashion, product storytelling, interiors,
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+ campaign visuals, hero images, and editorial portraits.
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+ - **Prompt-guided iteration** so users can refine subject, style, composition,
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+ lighting, aspect ratio, and in-image text without moving across multiple
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+ tools.
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+
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+ ## Intended Use
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+
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+ The GPT Image 2 Generator is intended for practical creative work, including:
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+
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+ - Generating marketing visuals for landing pages, ads, launches, and social
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+ posts.
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+ - Creating poster concepts, product mockups, packaging directions, and branded
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+ campaign graphics.
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+ - Drafting infographics, labeled explainers, educational diagrams, and
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+ presentation-ready visuals.
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+ - Producing editorial portraits, lifestyle scenes, concept art, and premium
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+ photoreal images.
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+ - Exploring prompt ideas before commissioning final design or production work.
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+
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+ The best results come from prompts that define subject, setting, visual style,
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+ composition, lighting, required text, and output use case.
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+
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+ ## Key Capabilities
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+
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+ ### Cleaner Text Inside Images
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+
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+ Use the generator when image text matters: short slogans, product labels,
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+ poster headlines, UI snippets, signage, and structured visual hierarchy.
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+
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+ ### Diagram and Infographic Direction
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+
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+ The workflow is useful for early-stage visual thinking: maps, labeled layouts,
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+ process diagrams, slide graphics, and explainers that need more structure than a
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+ purely decorative image.
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+
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+ ### Photoreal Brand Visuals
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+
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+ The generator is a strong fit for commercial image directions such as fashion,
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+ beauty, interiors, product-adjacent lifestyle scenes, and high-polish hero art.
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+
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+ ### Fast Creative Iteration
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+
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+ Users can start with a rough brief, generate a first visual, then adjust prompt
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+ details for text clarity, visual balance, realism, brand mood, and composition.
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+
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+ ## How to Use
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+
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+ 1. Open [GPT Image 2 Generator Online](https://veo4.im/gpt-image-2).
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+ 2. Describe the image you want to create.
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+ 3. Include details such as subject, style, lighting, composition, aspect ratio,
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+ and any text that should appear inside the image.
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+ 4. Generate the image and review it for text readability, layout coherence,
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+ realism, and prompt accuracy.
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+ 5. Refine the prompt or download the result when it is ready for your workflow.
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+
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+ ## Prompt Example
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+
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+ ```text
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+ Create a premium launch poster for a minimalist AI design studio.
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+ Use a clean editorial layout, white background, one glass product object,
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+ soft shadows, and the headline "Design the Future" in readable black type.
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+ Make it suitable for a landing page hero and social campaign preview.
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+ ```
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+
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+ ## Conceptual Integration Example
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+
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+ The hosted product is designed primarily for browser-based creation. If your
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+ team later connects it to an internal creative pipeline, the flow usually looks
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+ like this:
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+
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+ ```python
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+ # Conceptual example only. Adapt to your actual product or API workflow.
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+
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+ prompt = {
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+ "subject": "premium product launch poster",
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+ "style": "minimal editorial design",
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+ "text": "Design the Future",
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+ "format": "landing-page hero image",
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+ }
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+
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+ generation = create_image(prompt)
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+ review(generation, checks=["text_readability", "layout", "brand_fit"])
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+ export(generation, destination="campaign_assets")
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+ ```
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+
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+ ## Limitations
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+
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+ - Generated images should be reviewed before commercial use, especially when
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+ they include readable text, brand marks, maps, diagrams, or factual claims.
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+ - The generator may require prompt refinement for exact typography, precise
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+ spatial relationships, or strict brand-system compliance.
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+ - Do not use the workflow to create deceptive, harmful, infringing, or
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+ non-consensual content.
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+ - Product and model-name references are descriptive. Always verify current model
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+ availability and usage terms in the live product before building a production
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+ dependency around a specific provider.
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+
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+ ## Resources
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+
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+ - Live generator: [Gpt image 2](https://veo4.im/gpt-image-2)