Use gpt image 2 to generate, edit, and refine visuals from prompts or reference images in one focused workspace. SoraLum gives creators access to openai image 2 style workflows for product shots, ads, portraits, concept art, and fast image-to-image revisions.
Move from a rough idea to a finished visual with a short, repeatable image workflow.
Start with text-to-image when you need a new scene, or upload references when you want the model to preserve useful structure from an existing photo.
Describe the subject, setting, composition, lighting, camera angle, style, exact text, and any details that should stay unchanged during editing.
Upload product photos, portraits, sketches, or brand samples, then choose the aspect ratio, quality level, and model options that fit your output.
Review variations, adjust the prompt, and run focused revisions until the result is ready for marketing, ecommerce, social, or design review.
GPT Image 2 is an AI image generation and editing model for turning prompts and reference images into polished creative assets. It supports text-to-image, image-to-image, and guided edits so teams can explore concepts, repair weak drafts, and create publishable visuals without switching tools. People also search for gpt image 2.0, openai image 2, and gpt image v2 when they want this next-generation OpenAI image workflow for sharper text, stronger instruction following, and faster creative iteration.
Create new visuals from a prompt or transform an uploaded image while keeping the parts of the original that matter to the brief.
Use reference images to steer identity, pose, color, layout, product details, and overall art direction across multiple generations.
Generate cleaner layouts for posters, labels, ads, UI concepts, and social graphics where readable text and clear composition are important.
Try prompt variations, compare outputs, and refine weak areas quickly, making the workflow practical for everyday creative production.
Use this model when you need fast ideation, controlled edits, and clean final assets from the same image workspace.
This model combines prompt-driven generation, reference editing, and output controls for production-minded creators.
Turn a short idea into a clearer prompt with subject, mood, camera view, style, lighting, and quality cues that help openai image 2 follow the brief.
Guide gpt image v2 style edits with inspiration images, product shots, portraits, sketches, or layouts for tighter visual control.
Describe what should change, such as background, color, object placement, lighting, or style, while keeping important subjects intact.
Use gpt image 2.0 for posters, labels, menus, product callouts, and social graphics where typography needs to be clearer and more intentional.
Create square posts, portrait assets, widescreen banners, product cards, and presentation visuals without changing tools between formats.
Use lower quality for quick drafts, then move to stronger settings when the composition is ready for a cleaner final export.
Answers to common questions about gpt-image-2, openai image 2, and related generation or editing workflows.
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