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features
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support

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Description

GPT Image 1.5 is OpenAI’s latest image generation model, delivering improved accuracy and prompt adherence over previous versions. It enables developers to generate and edit images using text or image-based inputs. The model produces visually consistent outputs that closely follow user instructions. GPT Image 1.5 is accessible via OpenAI’s API and integrates into existing workflows with dedicated image generation and editing endpoints. It supports both image and text outputs for flexible use cases. Token-based pricing allows predictable cost management at scale. Cached inputs help reduce costs for repeated prompts. The model does not support audio or video modalities, focusing exclusively on visual tasks. Snapshots allow developers to lock in specific model versions for stable behavior. GPT Image 1.5 is well-suited for building production-ready image applications.

Description

Qwen-Image-2.1 is an advanced model for text-to-image creation and image modification, part of the Qwen series, engineered to effectively balance the quality of generated images, the efficiency of inference, and overall adaptability. With a visual generation architecture comprising 7 billion parameters and utilizing 32 Single-Stream DiT layers, it features a streamlined design that integrates mixed-granularity attention alongside prefix KV cache reuse, enabling high-quality image outputs while minimizing computational demands. This model offers native capabilities for creating both standard and transparent RGBA images, facilitating transparent-layer editing and allowing for subject extraction from images, all integrated within a single framework. For editing purposes, it accommodates up to ten reference images for complex multi-subject arrangements, takes local editing commands via circles, painted notes, or distinct masks, and maintains the integrity of individuals and products throughout the process. Enhancements in typography, portrait illumination, realistic textures, and intricate details have been implemented to yield results that are not only more polished but also visually striking. Additionally, this model’s versatility in handling various image generation tasks sets it apart in the realm of image synthesis technology.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APIFree Yes 
Adobe Firefly Yes 
Astorie Yes 
ChatGPT Yes 
ClipTrend.ai Yes 
Collart Yes 
Dovoo AI Yes 
FigEditor Yes 
Higgsfield Soul 2.0 Yes 
Loova AI Yes 
Magica Yes 
Movis Studio Yes 
Paintit.ai Yes 
Pixae AI Yes 
Prism Yes 
Qwen No 
Qwen Studio No 
QwenCloud No 
Runway Dev Yes 
Seedeo Yes 

Integrations

APIFree No 
Adobe Firefly No 
Astorie No 
ChatGPT No 
ClipTrend.ai No 
Collart No 
Dovoo AI No 
FigEditor No 
Higgsfield Soul 2.0 No 
Loova AI No 
Magica No 
Movis Studio No 
Paintit.ai No 
Pixae AI No 
Prism No 
Qwen Yes 
Qwen Studio Yes 
QwenCloud Yes 
Runway Dev No 
Seedeo No 

Pricing Details

Text tokens
Input: $5.00 Per 1M tokens
Cached input: $1.25 Per 1M tokens
Output: $10.00 Per 1M tokens
Image tokens
Input: $8.00 Per 1M tokens
Cached input: $2.00 Per 1M tokens
Output: $32.00 Per 1M tokens
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

platform.openai.com/docs/models/gpt-image-1.5

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

github.com/QwenLM/Qwen-Image-2.1

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