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Average Ratings 0 Ratings
Description
GPT-Image-2.6 Sunburst is a generative AI image model developed by OpenAI to create and edit detailed visual content using natural language prompts. As the quality-oriented variant of the GPT-Image-2.6 model family, it is designed for creative workflows where image fidelity and precise editing are particularly important. The model can generate original artwork, illustrations, photographs, promotional graphics, and other visual assets from written descriptions. Its image editing capabilities allow users to provide existing images and request changes to visual elements, compositions, backgrounds, and artistic styles. Reference-based editing helps creators refine existing designs while using supplied images to guide the desired result. The model supports iterative creative workflows in which users progressively adjust visual content through additional instructions. Developers can incorporate Sunburst into applications for digital design, marketing content production, ecommerce imagery, advertising, and multimedia creation. OpenAI introduced the model alongside GPT-Image-2.6 Flare, which emphasizes faster generation for applications requiring greater responsiveness. GPT-Image-2.6 Sunburst provides a quality-focused option for organizations integrating AI image generation and editing into professional creative tools and automated production workflows.
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
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Adobe Firefly
Yes
ChatGPT
Yes
ChatGPT Images
Yes
ChatGPT Work
Yes
Flova AI
Yes
Happy Shrimp 1.0
No
Loova AI
Yes
OTOY Studio
Yes
OfoxAI
Yes
OpenAI Codex
Yes
Integrations
Adobe Firefly
No
ChatGPT
No
ChatGPT Images
No
ChatGPT Work
No
Flova AI
No
Happy Shrimp 1.0
Yes
Loova AI
No
OTOY Studio
No
OfoxAI
No
OpenAI Codex
No
Pricing Details
$8 per 1M image tokens (input)
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
developers.openai.com/api/docs/models/gpt-image-2.5-sunburst
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
github.com/QwenLM/Qwen-Image-2.1