Deepseek Image Generator: Is It the Best for You?

Deepseek image generator is an open-source multimodal AI model that can understand and generate text and images.

It is technically known as Janus-Pro-7B. It is developed by Chinese company DeepSeek AI. It was introduced in January 2025. Since its introduction, this AI-powered image generator has been posing a tough challenge for established image generators. 

Let’s discuss this novel approach to AI-powered image generation in this Innocams blog post to understand if it is the best image-generating tool for you or not.

Some Relevant Technical Terms and Their Meanings 

Technical Term	Meaning
Artificial Intelligence (AI)	This is a technology to develop intelligent machines that can perform tasks like human beings, mimicking human thought process.
Deepseek image generator	An AI-powered text-to-image generation tool developed by Chinese company DeepSeek AI.
Janus-Pro-7B	The latest version of the core AI model used in DeepSeek image generator.
Multimodal AI model	This is an AI system that can process and integrate different data like text, images and video to perform tasks like producing an image based on a text prompt.
Decoupled visual encoding	The use of two separate pathways for understanding and generating images.
Open source AI model	An AI system where the source code, model weights and training data are made publicly available for anyone to use, modify and share for greater transparency in AI development.
AI-powered image generator	It is an AI-powered application that can generate images, utilising AI algorithms and architecture.
Zero-shot detection	The ability of an AI-powered image generating tool that can understand and use image objects from textual description, without any elaborate coding.
Autoregressive Framework	A technology where content is generated step-by-step, the machine decides on the next element based on the previous ones.
SigLip	An image embedding model that can produce accurate images from text prompts utilising zero-shot models. It can produce images from unseen data, classify them and detect duplicate images.
Tokeniser	A tokenizer is a tool that carves up large texts into small chunks or tokens so machines can process and understand human language accurately.
Vector Quantised model (VQ)	VQ is a technique where large datasets are compressed into smaller chunks to improve efficiency and cut down storage space.
VQ tokeniser	A technique in generative AI where the model reduces continuous data, like images, into smaller tokens using a VQ technique for better image generation.

What is Deepseek Image Generator?

Deepseek image generator that runs on the latest version of Janus model namely, Janus-Pro-7B, is an AI-powered open-source image generator. The uniqueness of this application is it uses different pathways for understanding and generating images. 

Janus-Pro-7B uses SigLip for detailed and accurate image analysis and a VQ tokeniser for better image production.

The use of separate pathways to generate images empowers Deepseek to produce accurate images from text prompts without any conflict within the model.

Deepseek Image Generator: The Importance

Before I discuss in detail this AI-powered image generation model and compare it to other image generators, it is necessary to understand the context and background of this novel tool.

Deepseek Image Generator: The Background

DeepSeek AI is a Chinese company based in Hangzhou province. This company introduced an open-source LLM in January 2025 namely R1. 

Before R1, it was perceived that developing AI tools required significant financial and technical resources. Top American companies were ruling the roost with their proprietary LLMs like ChatGPT. 

But by developing R1 at an unbelievably lower cost than American LLMs, DeepSeek proved that the AI landscape is not blurred by financial fencing.

Secondly, by making it an open-source AI model, DeepSeek also paved the way for an inclusive approach to AI development, giving the model opportunities to incorporate various useful modifications and functionalities. 

Within days of its release, DeepSeek AI Assistant, which includes a R1 chatbot interface, created a technological maelstrom and grabbed the top rank of Apple Store’s chart, beating ChatGPT.and others, kicking their share prices down.

Deepseek Image Generator: The Context

Encouraged by the howling success of its R1, DeepSeek decided to introduce more AI-powered tools and one of them is this Deepseek image generator.

In its latest Janus-Pro-7B, DeepSeek introduced a multimodal AI model based on a flexible algorithm and an architecture that promises to perform better than other AI image generators like Open AI’s DAAL-E.

Again, DeepSeek makes this image generator open-source for quicker and better updating, modification and additions.

This is the context in which we must assess this novel image generator. 

DeepSeek Image Generator: The Unique Features

Let’s recuperate the features that differentiate this image generator from others.

• Development cost much less than other proprietary AI models.
• Uses a decoupled visual encoding to understand and produce images through two separate pathways.
• Uses a unified processing method that seamlessly integrates the two modalities in a single framework.
• Produces more accurate and better images from text inputs than other AI image generators.
• Open-source AI model that encourages participation from developers and researchers for rectification, upgradation and modification.

Advantages of DeepSeek Image Generator

At the heart of the Deepseek image generator is DeepSeek’s Janus-Pro-7B AI model. Powered by this unique open-source and multimodal AI model, Deepseek image generator has a number of class-leading advantages. I’ll briefly discuss them for you here.

It is Open-Source 

Being an open-source model, Janus-Pro-7B is accessible to developers and researchers. This accessibility provides the image generator a broader scope for speedy modification, better feature inclusion and quicker rectification. 

It Performs Better

The unique design of Deepseek image generator where its technology uses separate techniques to understand and generate images but a single unified system of text and image processing. 

This integration of analysis and processing systems in a single framework helps this tool to perform better than other tools.

It Costs Less

Deepseek image generator can be trained with fewer GPUs and in a shorter timeframe than other AI image generators.  This reduces the development cost significantly.

Capable of Multitasking

The multimodal capability allows this AI-powered image generator to process text and images at the same time for seamless performance and better image generation from text prompts.

Disadvantages of DeepSeek Image Generator

• Some users reported that Janus-Pro-7B struggles a bit to generate human images, especially faces and hands.
• Janus-Pro-7B has 7 billion parameters. This makes it a resource-intensive model. Users with limited hardware access may not utilise it. 
• Like all such AI models, Deepseek image generator depends on training data. If the quality of this data is not up to the mark, there will be low quality output.
• Like all AI-powered image generators, this one is also experimental, meaning its output must be monitored to exclude erroneous or wrong outputs.

Deepseek Vs. DALL-E Vs. Midjourney Vs. Stable Diffusion

I’ll now compare Deepseek image generator with other three leading AI-powered image generators so you can easily decide which one will serve your purposes the best. 

Multimodal Ability

Deepseek image generator: has a multimodal capability, meaning this tool can generate outstanding images and analyse or understand existing images. This ability gives it versatility and uniqueness.

DALL-E: It is primarily a text-to-image generator without versatile multimodal capability. However, newer versions have some multimodal abilities.

Midjournay: Focused on generating artistic and visually-appealing images from text prompts. Lacks multimodal capability.

Stable Diffusion: A text-to-image generator. Lacks image analysis capability.

Image Quality

Deepseek image generator: Generates class-leading images from text prompts. Can also analyse images and texts for better performance.

DALL-E: Generates outstanding images that are well-aligned with the prompts. It produces detailed and accurate image content.

Midjourney: Produces aesthetically stunning images. But images may lack details.

Stable Diffusion: A versatile image generating tool. It is also an open-source model like Deepseek image generator. However, its image analysis is not quite up to the mark.

Image Analysis and Understanding

Deepseek image generator: This is the best tool so far to analyse and understand text inputs and images to generate accurate images as per the prompts. It can even understand mathematical content presented visually.

DALL-E: Its understanding of image content is good but not at par with that of Deepseek. It can produce good images from prompts and answer queries well.

Midjourney: Weak in understanding images. But can produce aesthetically stunning images.

Stable Diffusion: Not good at image understanding.

Open-Source & Proprietary

Deepseek image generator: Multimodal open-source model (MIT licence). It offers a flexible modification and commercial use options.

DALL-E: OpenAI’s proprietary LLM. No flexibility of modification or commercial use.

Midjourney: Proprietary service. No flexibility of modification or commercial use.

Stable Diffusion: Open-source model. Allowing great flexibility of customisation.

Model Performance

Deepseek image generator: With its decoupled architecture, this is the best performing image generator though relatively lightweight. 

DALL-E: Performance is usually good but not at par with Deepseek’s. 

Midjourney: Performs well in generating stunning aesthetic images, but images lack details.

Stable Diffusion: Performance is generally good, but varies widely depending on the hardware used.

Customisation Flexibility

Deepseek image generator: Powered by open-source multimodal LLM, this image generator offers extensive customisation and fine-tuning facilities to users.

DALL-E: It is a proprietary LLM and offers no customisation facility.

Midjourney: Proprietary model. No customisation options.

Stable Diffusion: Open-source LLM. Offers significant customisation options.

Accessibility and Cost

Deepseek image generator: Janus-Pro-7B, which powers Deepseek image generator, is an open-source and free-to-use tool.

DALL-E: Proprietary LLM. Requires subscription or paid APIs. 

Midjourney: Closed model. Paid subscription required.

Stable Diffusion: Open-source. Free to use. 

Conclusion

Deepseek image generator runs on an excellent open-source multimodal LLM namely Janus-Pro-7B. 

Within a few days of its introduction, it has become one of the most-used AI-powered image generators due to its flexibility and outstanding image and text analysis and image production.

It is relatively new than other AI-powered image generators and has some drawbacks too, like unreliability due to newness. Nevertheless, it is giving some established brands like OpenAI’s DALL-E a real run for their fame.  

Frequently Asked Questions