OpenAI GPT-Image 2 Now Available on PicMorph
OpenAI's state-of-the-art image model lands on PicMorph via Replicate.
PicMorph Editorial Desk
OpenAI GPT-Image 2 Now Available on PicMorph
OpenAI''s latest image model, GPT-Image 2, is now wired into PicMorph through Replicate. You can use it directly from the AI editor for both text-to-image generation and reference-image editing.
Primary source: openai/gpt-image-2 on Replicate
What changed
GPT-Image 2 is positioned by OpenAI as their state-of-the-art image generation and editing model. The published model card highlights:
- Strong instruction following on dense, multi-clause prompts
- Sharp text rendering inside images, including small type and complex layouts
- Identity-preserving edits when supplied with reference images
- Style consistency across batches
It supersedes GPT-Image 1.5 in PicMorph''s lineup but does not replace it; GPT-Image 1.5 remains available for workflows that depend on transparent backgrounds or the legacy parameter set.
How it differs from GPT-Image 1.5
If you have been using GPT-Image 1.5, the parameter surface is leaner and the limits have moved.
| Parameter | GPT-Image 1.5 | GPT-Image 2 |
|---|---|---|
aspect_ratio | many ratios | 1:1, 3:2, 2:3 |
quality | low / medium / high | low / medium / high / auto |
background | auto / transparent / opaque | auto / opaque (no transparent) |
moderation | auto / low | auto / low |
output_format | webp / png / jpeg | webp / png / jpeg |
number_of_images | up to 4 | up to 10 |
input_fidelity | low / high | removed |
output_compression | 0โ100 | removed |
| Reference images field | image_input | input_images (array) |
If you need transparent backgrounds, stay on GPT-Image 1.5. If you need higher batch counts or cleaner editing semantics, GPT-Image 2 is the better default.
When to reach for it
- Posters, ads, and UI mocks with embedded text. Text rendering is the standout improvement; previous OpenAI image models often introduced subtle character corruption at small sizes. GPT-Image 2 is noticeably steadier here.
- Iterative edits on a real subject. Pass the original image (or several variants) via
input_imagesand describe the change. Identity is preserved more reliably than re-prompting from scratch. - Batch generation up to 10 variants. Useful for moodboards or A/B candidates without re-submitting the request.
When in doubt, start with quality: "auto" โ the model will balance fidelity and cost without you having to guess.
Pricing and credits
On PicMorph, GPT-Image 2 is priced at 6 credits per generation, slightly above GPT-Image 1.5 to reflect the higher per-call cost upstream. Credit pricing on Replicate itself can change over time; refer to the Replicate model page for the authoritative cost.
Editorial note
This article is a source-based summary of OpenAI and Replicate''s public materials, not an independent benchmark. Real-world quality depends on prompt design, reference image selection, and Replicate''s rollout state. For the latest schema and capabilities, refer to the official model card.
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