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What is Shakker?

Shakker enables the rapid transformation of your creative ideas into breathtaking visuals within seconds. Its user-friendly interface makes the image generation process remarkably straightforward, catering to a variety of needs such as creating new graphics, adjusting existing aesthetics, blending various elements, or refining particular sections of an image. With Shakker's thoughtfully curated prompt suggestions and customized designs, users enjoy a streamlined and enjoyable experience. This cutting-edge platform revolutionizes the way images are crafted; simply upload a reference photo, and it will effortlessly recommend styles from a vast selection, making it easier than ever to achieve the perfect image. Beyond just style modifications, Shakker offers a comprehensive range of sophisticated editing tools, including segmentation, quick selection, and lasso capabilities, empowering users to perform precise inpainting tasks. Shakker.AI leverages advanced algorithms that not only interpret user instructions but also create visuals that align with the intended styles and themes. By accurately processing commands, this technology harmoniously blends the analytical prowess of AI with the nuances of artistic creativity, yielding results that are both unique and of remarkable quality. Furthermore, Shakker's approachable design guarantees that individuals of all skill levels can embark on their creative endeavors with both ease and assurance, fostering an inclusive environment for artistic exploration. Ultimately, Shakker stands as a testament to how technology can enhance the creative process, inspiring users to unleash their imagination like never before.

What is Qwen-Image?

Qwen-Image is a state-of-the-art multimodal diffusion transformer (MMDiT) foundation model that excels in generating images, rendering text, editing, and understanding visual content. This model is particularly noted for its ability to seamlessly integrate intricate text elements, utilizing both alphabetic and logographic scripts in images while ensuring precision in typography. It accommodates a diverse array of artistic expressions, ranging from photorealistic imagery to impressionism, anime, and minimalist aesthetics. Beyond mere creation, Qwen-Image boasts sophisticated editing capabilities such as style transfer, object addition or removal, enhancement of details, in-image text adjustments, and the manipulation of human poses with straightforward prompts. Additionally, the model’s built-in vision comprehension functions—like object detection, semantic segmentation, depth and edge estimation, novel view synthesis, and super-resolution—significantly bolster its capacity for intelligent visual analysis. Accessible via well-known libraries such as Hugging Face Diffusers, it is also equipped with tools for prompt enhancement, supporting multiple languages and thereby broadening its utility for creators in various disciplines. Overall, Qwen-Image’s extensive functionalities render it an invaluable resource for both artists and developers eager to delve into the confluence of visual art and technological innovation, making it a transformative tool in the creative landscape.

Media

Media

Integrations Supported

Amazon API Gateway
Amazon Web Services (AWS)
ComfyUI
Docker
Git
GitHub
Hugging Face
MariaDB
Markdown
Microsoft Azure
ModelScope
MySQL
PostgreSQL
Python
R
SQL
Snowflake

Integrations Supported

Amazon API Gateway
Amazon Web Services (AWS)
ComfyUI
Docker
Git
GitHub
Hugging Face
MariaDB
Markdown
Microsoft Azure
ModelScope
MySQL
PostgreSQL
Python
R
SQL
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Shakker

Company Website

www.shakker.ai/

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

github.com/QwenLM/Qwen-Image

Categories and Features

Categories and Features

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