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Average Ratings 0 Ratings

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ease
features
design
support

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Description

MOSS-Image represents a versatile family of open-weight models designed for transforming natural-language prompts and structured layout specifications into images. Both its Base and fine-tuned SFT checkpoints utilize a unified inference interface and accommodate prompts with a maximum length of 4,096 tokens. Users have the flexibility to either articulate a scene in written form or supply JSON layout data that dictates the placement of objects and text within the image. The project offers comprehensive resources, including Python and Gradio workflows, a Diffusers pipeline, model weights, and detailed guidance for local deployment and fine-tuning processes. This model is capable of producing a variety of visual content, such as illustrations, photorealistic images, posters, and other designed compositions that can integrate specific text elements. Additionally, developers have the option to leverage supported image-generation runtimes or a hosted API to enhance their projects. Aimed at developers, researchers, and creative individuals, the software facilitates the generation and modification of images with precise layout control, making it a valuable tool in various creative endeavors. As users explore MOSS-Image, they can unlock new possibilities in visual storytelling and design innovation.

Description

Z-Image is a family of open-source image generation foundation models created by Alibaba's Tongyi-MAI team, utilizing a Scalable Single-Stream Diffusion Transformer architecture to produce both photorealistic and imaginative images from textual descriptions with only 6 billion parameters, which enhances its efficiency compared to many larger models while maintaining competitive quality and responsiveness to instructions. This model family comprises several variants, including Z-Image-Turbo, a distilled version designed for rapid inference that achieves results with as few as eight function evaluations and sub-second generation times on compatible GPUs; Z-Image, the comprehensive foundation model tailored for high-fidelity creative outputs and fine-tuning processes; Z-Image-Omni-Base, a flexible base checkpoint aimed at fostering community-driven advancements; and Z-Image-Edit, specifically optimized for image-to-image editing tasks while demonstrating strong adherence to instructions. Each variant of Z-Image serves distinct purposes, catering to a wide range of user needs within the realm of image generation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

APIFree No 
ComfyUI Yes 
Eromify No 
Oxen.ai No 
Piooy No 

Integrations

APIFree Yes 
ComfyUI No 
Eromify Yes 
Oxen.ai Yes 
Piooy Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

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

OpenMOSS

Country

China

Website

openmoss.ai/MOSS-Image/

Vendor Details

Company Name

Z-Image

Founded

1999

Country

China

Website

github.com/Tongyi-MAI/Z-Image

Product Features

Product Features

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