
GPT Image 1.5 is Rivya's quality-tier OpenAI image model for structured prompts, reference-led edits, and high-fidelity product or campaign visuals when the brief needs stronger detail control than a quick draft.

Example output
Preview for Character Mascot Scene Pack, focused on identity consistency, expression range, pose variety, editable marks, and brand-safe scene design.
Text to Image · Image to Image

Example output
Preview for Character Mascot Scene Pack, focused on identity consistency, expression range, pose variety, editable marks, and brand-safe scene design.
Best for
Supports
Online trial
Results
GPT Image 1.5 is Rivya's quality-tier OpenAI image model for structured prompts, reference-led edits, and high-fidelity product or campaign visuals when the brief needs stronger detail control than a quick draft.
No result yet. Submit a prompt to start a run.
Prompt starters
Use a template already mapped to GPT Image 1.5 when you want a stronger first run than a blank prompt.
Model proof
Use the online trial above, then compare these example results to judge finish, rhythm, and task fit before you spend more credits in Studio.

Lead sample
Character mascot scene pack preview showing consistent full-body, portrait, action pose, and scene vignette variations.
Input
Prompt + optional images
What to notice
Character mascot scene pack preview showing consistent full-body, portrait, action pose, and scene vignette variations.
Credits per use
From 4 credits per generation
Why this model works
Up to 16 reference images — highest on Rivya
Medium and High quality tiers for cost control
Superior prompt comprehension from OpenAI's language model
Best-fit tasks
Model proof
Decision fit
Decision fit
Best-fit tasks
Use it when the task looks like this
Quiet facts
Provider
OpenAI
Category
Image
Capabilities
Text to Image · Image to Image
Credit model
From 4 credits per generation
Input path
Prompt + optional images
Prompt setup
Prompt-guided
GPT Image 1.5 FAQ
GPT Image 1.5 is strongest when the prompt reads more like a design brief than a mood word: multiple objects, explicit layout rules, do-and-don't constraints, and reference-led edits that need tighter obedience. It is a better fit for structured scene logic than for loose vibe-hunting.
On Rivya, GPT Image 1.5 currently runs as both text-to-image and image-to-image, and it can take up to 16 reference images, which is the highest reference cap in the current catalog. That makes it useful for image tasks where hierarchy, reference priority, and instruction stacking all matter at the same time.
The most revealing first checks are Medium or High quality, aspect ratio, and which references are truly mandatory versus just nice to have. On this model, too many references can create noise if the instruction hierarchy is not clear, so the real test is whether the brief stays organized under pressure.
From 4 credits per generation becomes a good trade once poor instruction-following would cost you more reruns than the model itself. It is especially worth it when scene logic, object placement, or reference obedience matters more than squeezing out the cheapest initial draft.
Choose GPT Image 1.5 when the scene has rules, the prompt has structure, and the references need to behave like inputs instead of decoration. Use a lighter option when you mainly want fast stylistic exploration and do not care as much about exact layout or instruction discipline.
This page is best for the first result on image tasks where the instructions are already dense: structured campaign visuals, multi-object scenes, and reference-led edits that need stronger control. It is a good place to see whether GPT Image 1.5 can keep the brief organized before you open a longer iteration thread.
You can use it for text-to-image, image-to-image, and up to 16 reference images on the public page setup. That means you can test prompt-only work, edit-style work, or a heavy reference stack without switching into the studio first.
Before the first result, decide whether Medium is enough or High is worth it, lock the aspect ratio, and trim the references down to the ones that truly carry the brief. GPT Image 1.5 usually performs best when the instruction stack is clear, not merely large.
The page is public, but the actual first image run and reference upload flow are still gated behind sign in. Public guidance currently starts at 4 credits per generation, so you can organize the brief and the reference stack first, then sign in when you are ready to spend on the run.
Stay here while you are still pressure-testing the first structured brief and the first reference stack. Open the full Studio once you need saved versions, branching edits, asset management, or several rounds of instruction tuning around the same scene.
Compare alternatives
Alibaba's lightweight text-to-image model. Fast single-image generation with 5 aspect ratios — ideal for quick concept drafts and social media visuals at just 1 credit.
Why consider it
Consider it when your next task needs Prompt only.
Google's next-gen image model with 4K resolution, 15 aspect ratios (including extreme 8:1), Google Search grounding, and up to 14 reference images — the most flexible image generator on Rivya.
Why consider it
Consider it when the credit note fits your next run: From 5 credits per generation.
Google's premium image model with 4K output, 11 aspect ratios, and up to 8 reference images. Optimized for high-fidelity brand and campaign visuals with superior detail and color accuracy.
Why consider it
Consider it when the credit note fits your next run: From 8 credits per generation.
Preview for Blueprint to Cozy Interior Render, focused on plan-to-room transition, material warmth, believable scale, and client-ready delivery.
Blueprint-to-cozy-interior preview showing plan lines, furniture placement, warm materials, window light, and a finished room render.

Preview for a water-sculpture athletic fashion campaign, focused on sculptural water, performance styling, studio reflections, and brand-safe layout control.
Water-sculpture athletic fashion campaign preview with an adult model, glossy blue studio, performance swim styling, and campaign layout space.

Preview for Levitating Ribbon Product Campaign, focused on diagonal product hierarchy, ribbon packaging, and clean ad layout control.
Premium product campaign preview showing two suspended matte bottles wrapped with satin ribbon on a warm studio backdrop.

Preview for Scientific Pop-Up Discovery Diorama, focused on paper model construction, academic diagrams, miniature scale, and macro texture.
Scientific pop-up book diorama preview showing a paper theory model rising from an antique journal with tiny researchers and diagrams.
Developer access
GPT Image 1.5 has callable Public API modes, but reference-media modes still need Files API upload support. Check the model reference before submitting.