Build production-ready visuals faster with GPT Image 1.5 on Vidofy
GPT Image 1.5 is OpenAI’s state-of-the-art image generation model, released to the OpenAI API on December 16, 2025 . It’s an image model built for both text-to-image creation and high-fidelity image editing, with a specialization in strong instruction-following, precise edits that preserve important details (like faces and logos), and improved dense text rendering for complex layouts . OpenAI also describes GPT Image models as a natively multimodal language model family used for image generation and editing workflows .
For creators, the biggest shift is reliability: GPT Image 1.5 is designed to “change only what you ask for” while keeping lighting, composition, and appearance consistent across edits—making it especially valuable for marketing iterations, product comps, UI mockups, and branded assets . In the API, you can generate images in supported sizes such as 1024×1024, 1536×1024, and 1024×1536 (plus an auto option) , choose quality levels (low/medium/high/auto), and output in png/jpeg/webp—plus enable transparent backgrounds with png or webp when needed .
Vidofy makes GPT Image 1.5 practical for real workflows: select the model, iterate quickly across prompt versions, run edits and generations in the same place, and export assets without jumping between tools. If you’re comparing options, Vidofy also provides access to competitors like Flux.2 Flex—so you can validate results side-by-side and standardize on the model that matches your creative and production constraints.
Precision vs. Control: GPT Image 1.5 vs Flux.2 Flex on Vidofy
Both GPT Image 1.5 and Flux.2 Flex are built for professional image generation, but they optimize for different strengths. GPT Image 1.5 emphasizes instruction-following and precise, detail-preserving edits, while Flux.2 Flex emphasizes fine-grained parameter control (steps/guidance) and multi-reference workflows. Here’s the most actionable breakdown for creators and teams using Vidofy.
| Feature/Spec | GPT Image 1.5 | Flux.2 Flex |
|---|---|---|
| Model category | Image generation + image editing | Image generation + image editing |
| Max output resolution / size options | Supported sizes: 1024x1024, 1536x1024, 1024x1536, auto; default 1024x1024 | Resolution limits: minimum 64x64; maximum 4MP (e.g., 2048x2048); recommended up to 2MP; output dimensions are multiples of 16 |
| Output formats | png (default), jpeg, webp | jpeg (default) or png |
| Transparent background support | Supported via background=transparent; only with png or webp | Not verified in official sources (latest check) |
| Multi-reference image editing (official limit) | Not verified in official sources (latest check) | Reference multiple images: up to 8 via API, up to 10 in the playground |
| Prompt input capacity (officially stated) | Not verified in official sources (latest check) | Supports up to 32K tokens for prompts |
| Control knobs (quality/speed, compression, steps, guidance) | Quality: low/medium/high/auto; output_compression: 0–100 (jpeg/webp); partial_images: 0–3 (streaming) | [flex] controls: steps (max 50); guidance (min 1.5, max 10); safety_tolerance: 0 (strict) to 5 (permissive) |
| Public list pricing (official docs) | Per image (examples): low 1024x1024 = $0.009; medium 1024x1024 = $0.034; high 1024x1024 = $0.133 | Megapixel-based: text-to-image from $0.06; image editing from $0.12 |
| Accessibility | Instant on Vidofy | Flux.2 Flex also available on Vidofy |
Detailed Analysis
Analysis: When precision editing and typography matter most
GPT Image 1.5 is positioned by OpenAI as a flagship “Images” model that improves instruction-following and makes more precise edits while preserving important details like facial likeness . If your workflow includes repeatable marketing iterations (headline swaps, layout tweaks, product labeling, style transformations that must keep identity intact), GPT Image 1.5 is built around that “change only what you asked for” behavior. On Vidofy, that translates into faster iteration cycles because your prompt revisions are less likely to require manual cleanup.
Analysis: When you need tunable generation controls and multi-reference pipelines
Flux.2 Flex (officially “FLUX.2 [flex]”) is designed for fine-grained control: adjustable steps and guidance are first-class parameters for trading speed vs fidelity and dialing prompt adherence . It also publishes explicit multi-reference limits for editing workflows (up to 8 references via API, up to 10 in the playground) , which is valuable for teams building systematic compositing pipelines (characters + wardrobe + product + scene + brand kit). On Vidofy, Flux.2 Flex becomes the “control-oriented” option you can switch to when the job demands strict parameter steering.
Verdict: Choose GPT Image 1.5 for reliable edits—keep Flux.2 Flex for parameter-driven control
How It Works
Follow these 3 simple steps to get started with our platform.
Step One: Choose GPT Image 1.5 on Vidofy
Select GPT Image 1.5 as your generation model to focus on instruction-following, precise edits, and readable text layouts.
Step Two: Describe your image or your edit
Write a clear prompt (or upload an image for edits). Be explicit about what must stay consistent—identity, lighting, composition, or brand elements.
Step Three: Iterate and export
Generate, refine, and compare variations inside Vidofy—then export the final asset in the format you need for design, marketing, or production.
Frequently Asked Questions
What is GPT Image 1.5?
GPT Image 1.5 is OpenAI’s image generation model available in the OpenAI API and used for the updated ChatGPT Images experience, focused on stronger instruction-following and more precise image edits.
What image sizes does GPT Image 1.5 support?
OpenAI’s image generation guide lists these size options: 1024x1024, 1536x1024, 1024x1536, and auto (with 1024x1024 as the default).
Can GPT Image 1.5 generate transparent-background images?
Yes. GPT Image models support transparent backgrounds when you set the background parameter to transparent, and use png or webp output formats.
How much does GPT Image 1.5 cost per image?
OpenAI lists per-image pricing by quality and size. For example: low 1024x1024 = $0.009, medium 1024x1024 = $0.034, high 1024x1024 = $0.133.
Does GPT Image 1.5 support streaming image generation?
Yes. OpenAI’s image generation guide states that the Responses API and Image API support streaming image generation, with a partial_images parameter that can be set from 0 to 3.
Can I use images generated with GPT Image 1.5 commercially?
Commercial usage depends on the terms and policies that apply to your account and how you’re accessing the model (API vs. other interfaces). If you’re deploying at scale, review the latest OpenAI terms/policies and your organization’s compliance requirements before publishing or selling generated assets.