GPT Image 2 workspace
Create production-ready AI images with GPT Image 2 in one focused Lovimg workspace. Write a prompt, upload reference images, choose resolution and quality, then keep every finished result in your private generation history.
Selected from Lovimg Featured prompt imports for GPT Image 2. These examples are hardcoded on this page so the landing page stays fast, stable, and independent from runtime gallery queries.
One focused workspace
Write the brief, upload references, tune settings, compare outputs, and continue the same GPT Image 2 workflow without leaving the page.
Text and reference flows
Start from a written prompt, add reference images, or use the same console for image-to-image and edit-style work.
1K, 2K, and 4K outputs
Pick the resolution that matches your job: fast social concepts, sharper marketing visuals, or high-resolution presentation assets.
Private by default
Finished images stay in your Lovimg account history, ready to download, share, compare, or publish to the prompt gallery later.
GPT Image 2 works best when a prompt reads like a creative brief, not a loose keyword list. These patterns help you move from an idea to a reusable production workflow.
A strong GPT Image 2 prompt begins with the role of the image: product hero, editorial portrait, visual system, poster, social creative, storyboard, or landing page asset. Once the job is clear, the model has a reason to decide composition, format, visual hierarchy, and level of detail.
When you upload references, tell GPT Image 2 what must remain stable first: face likeness, product structure, clothing, framing, brand color, or layout. Then describe where it may explore: material, lighting, background, styling, illustration language, or campaign mood.
The first usable image is rarely the final answer. Save what works, name what feels off, and use the selected result as a reference for the next pass. Lovimg keeps those outputs in the same history so the workflow stays readable instead of becoming a scattered download folder.
GPT Image 2 works best when you separate idea shaping from final output. Use the same workspace to move from prompt structure to polished images.
Prompt-first creation
Text
Start with a clear visual brief, then refine subject, layout, lighting, style, brand tone, and intended use until GPT Image 2 has a precise job to solve.
Reference-guided iteration
Images
Upload product photos, portraits, sketches, or screenshots to guide composition and edits while keeping the final result tied to your private history.
The console above is the production surface. The flow below is the mental model for getting better results with fewer blind retries.
Brief
Name the format, subject, audience, style, lighting, composition, and intended use. The more the prompt describes the outcome, the less GPT Image 2 has to guess.
Tune
Pick aspect ratio, resolution, quality, and output count from the toolbar. Use lower stakes settings to explore language, then raise output quality when the direction is stable.
Finish
Review the large preview, compare the latest history grid, download the strongest output, or feed it back into GPT Image 2 as the next reference.
Write the job, not just the object. “A premium skincare product hero image for a mobile landing page” gives GPT Image 2 a clearer target than “a bottle”.
Separate stable requirements from creative freedom. Say what must remain unchanged when using references, then describe where the model can explore.
Use low-stakes iterations for language discovery. When a prompt starts working, increase quality or resolution for the final pass.
Open the console above, write one clear visual brief, and let Lovimg keep the whole GPT Image 2 workflow in one place.