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Average Ratings 0 Ratings
Description
FLUX 3 Image is an AI image generation and editing model from Black Forest Labs built for detailed control over composition, image elements, and localized edits. Users can generate images from standard text prompts or define the placement of individual elements with bounding boxes. Bounding boxes operate on a 0-to-1000 coordinate grid regardless of the selected aspect ratio, providing a structured way to specify where subjects and objects should appear. For conventional text-to-image generation, the model provides prompt following and a native understanding of image composition without requiring users to manually create a layout. Its editing capabilities allow several elements to be modified within an image while other designated elements and the surrounding composition remain unchanged. FLUX 3 Image can use up to 10 reference images and combine their specified elements into a newly composed scene. Native 2K and 4K rendering is available for preserving fine details, textures, faces, and colors at high resolutions. Pixel-perfect editing enables users to change selected areas while preserving the rest of an existing image. The model is natively trained to understand image layout and composition, making it suitable for AI agents that need to plan and generate well-composed visuals from text instructions. Organizations operating image generation at scale can also license commercial model weights to fine-tune FLUX 3 Image and deploy it on their own infrastructure.
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
Collart AI
Yes
FLUX 3
Yes
FLUX Upscale
Yes
Happy Shrimp 1.0
No
Qwen
No
Qwen Studio
No
QwenCloud
No
Integrations
Collart AI
No
FLUX 3
No
FLUX Upscale
No
Happy Shrimp 1.0
Yes
Qwen
Yes
Qwen Studio
Yes
QwenCloud
Yes
Pricing Details
No price information available.
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
Black Forest Labs
Founded
2024
Country
Germany
Website
bfl.ai/models/flux-3-image
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
github.com/QwenLM/Qwen-Image-2.1
Product Features
Product Features
Alternatives
No Alternatives