Alibaba’s Free Picture Technology Mannequin is Right here!

Is there one thing Qwen fashions can’t do? To date, their textual content and coding fashions are topping many of the charts and arenas. That’s the reason Alibaba’s Qwen group bought onto the “artistic” facet. They’ve simply launched “Qwen-Picture” – a local textual content rendering picture era mannequin designed to problem the supremacy of GPT-4.1, DALL-E 2, or Midjourney. The very best half? It’s Free, and what’s even higher is that it’s accessible for everybody! On this weblog, we’ll offer you all the small print about Qwen-Picture, together with the right way to entry it, its efficiency, functions, and extra. 

Let’s examine if the Qwen-Picture is “Qwen-tastic” or not!

What’s Qwen-Picture?

Qwen Picture is the newest Picture era mannequin by Alibaba’s Qwen group. It’s a 20 B MMDiT picture basis mannequin, that means that the mannequin consists of 20 billion parameters and is a multimodal diffusion transformer mannequin. Qwen-Picture is an open-weight text-to-image era mannequin that at the moment ranks fifth on the Synthetic Evaluation Picture Enviornment Leaderboard and is the one open-weight mannequin to be current within the high 10 record!

 How does the Qwen-Picture mannequin work?

The Qwen-Picture mannequin follows an strategy that was final seen in OpenAI’s GPT-4o. It makes use of an autoregressive transformer structure for picture era and enhancing. To do that, the  mannequin takes a twin encoding strategy: 

• The Qwen2.5-VL encodes the semantic that means of the immediate
• Picture era occurs in a latent house utilizing MMDiT, a diffusion mannequin
• The ultimate picture is produced from this latent house utilizing a VAE encoder. 

You may learn the complete technical report of the Qwen-Picture mannequin right here.

Key Options of Qwen-Picture

Among the key highlights that make Qwen-Picture stand aside are:

1. Enhanced Textual content Incorporation: The Qwen-Picture fashions are distinctive with regards to incorporating complicated texts, whether or not in multi-line layouts, paragraphs, and even fine-grained particulars. It really works equally properly with each alphabetic languages (comparable to English) and logographic languages (like Chinese language), with the identical ease. 
2. Environment friendly Picture Enhancing: The mannequin affords superior picture enhancing capabilities. In the course of the enhancing course of, the mannequin preserves each the semantic and visible that means of the particular pictures whereas incorporating the brand new adjustments. 
3. Ease of Use: The mannequin is straightforward to make use of and works properly even with easy prompts. 

These options, together with the wonderful efficiency of this mannequin, have been showcased on numerous benchmarks- making Qwen-Picture a formidable picture era mannequin.

Easy methods to entry Qwen-Picture?

To entry the Qwen-Picture mannequin by Chat, 

1. Head to https://chat.qwen.ai/
2. Choose any of the non-coding fashions like Qwen-235B-A3B-2507 

3. Under the textual content field, in the course of the display screen, choose “Picture Technology”

Enter your immediate within the textual content field and get began!

You may entry the fashions in different methods, like:

Qwen-Picture: Handson

Now that we now have lined quite a lot of particulars about Qwen-Picture, let’s take a look at it for 3 fundamental duties:

1. Producing a text-heavy Picture
2. Producing an Infographic
3. Enhancing an Picture

Let’s begin with every of them one after the other:

Job: 1: Design a Internet Web page

Immediate: “Create a visually participating touchdown web page for a shampoo product. Spotlight the shampoo’s distinctive options (e.g., hydration, restore, or pure substances) with a clear and trendy design. Embody a hero part with the shampoo bottle picture, a catchy headline like ‘Rework Your Hair Right now,’ and a call-to-action button (‘Store Now’ or ‘Study Extra’). Add sections for advantages, key substances, buyer testimonials, and a subscription possibility. Use gentle, recent colours, high-quality visuals, and make sure the structure is mobile-friendly and conversion-focused.”

Output:



The generated picture was good; it had quite a lot of the textual content that I had requested to be integrated. It captured the essence of the immediate properly and designed the complete picture appropriately. However there have been a couple of misses. Though spellings had been right, at one place a phrase was incomplete, and a few phrases that I had talked about weren’t integrated. I favored the color theme that the mannequin selected for this job.

Job 2: Create a Flowchart

Immediate: “ Design a transparent, trendy infographic that explains the picture era technique of a 20B MMDiT basis mannequin in 3 steps:

• Immediate Encoding: Present Qwen2.5-VL encoding the semantic that means of the consumer’s immediate.
• Latent House Technology: Visualize MMDiT diffusion creating an summary picture in latent house.
• Ultimate Picture Creation: Illustrate a VAE decoder reworking the latent illustration into the ultimate high-quality picture.

Use icons, arrows, and brief labels for every step. The move ought to be visually logical and straightforward to observe, with a tech-inspired colour palette.”

Output:



I didn’t just like the output in any respect. The textual content was lacking in some locations and utterly imprecise at different locations. The icons and total picture felt a bit disoriented. The move from step 1 to 2 to three was there, however the picture is sort of unclear. 

Job 3: Picture Enhancing

Enter picture:



Immediate: “Change the night time right into a sunny morning, exchange the person’s garments with an orange shirt and white shorts, and exchange the cat with a small pet.”

Output:



This outcome was simply good. Actually Good. All of the adjustments that I had requested for occurred within the picture. The lighting was appropriate, the garments and the animal had been all modified. A minor difficulty: whereas the mannequin changed night time with day, it didn’t take away the moon, though it made it appear like a spherical cloud. A really properly edited picture that took only a few seconds to generate!

My Assessment Utilizing Qwen-Picture

General, I actually favored the enhancing capabilities of the mannequin, however the picture era, particularly incorporating a considerable amount of textual content or designing infographics, is the place Qwen-Picture would wish quite a lot of enchancment going ahead – particularly if it desires to compete with the likes of OpenAI, Google, or X. 



However it has one actually cool characteristic that many of the high fashions don’t. You may really choose the body dimension that you just want to work with, proper from the textual content field! In case you are a content material creator, this actually would show you how to to create the “right-sized” picture for every of your social media platforms.

Qwen Picture: Efficiency 

Now that we now have examined the mannequin, let’s take a look at the outcomes that the Qwen group has launched for the efficiency of the Qwen-Picture mannequin in opposition to its counterparts:

1. For Picture Technology and Enhancing Benchmarks



• Qwen-Picture mannequin leads or is at par with one of the best fashions in nearly all of the picture era & enhancing benchmarks. 
• GPT-4.1 and Seedream3.0 are shut rivals of Qwen-Picture, matching its scores on a number of benchmarks.
• FLUX.1 fashions are a superb competitors however lag behind the Qwen-image mannequin 

2. For Textual content Rendering Benchmarks:



• Qwen-Picture leads for textual content rendering in Chinese language and can also be fairly forward for English languages
• GPT4.1 – surpasses or matches Qwen-image at numerous benchmarks. 
• Seeddream 3.0 is an in depth competitor however lags behind Qwen-Picture in each Chinese language and English benchmarks. 

Conclusion:

Qwen fashions are at the moment ruling the leaderboards for textual content and coding-based duties. Qwen-Picture holds comparable promise however isn’t fairly there but. The mannequin adheres to prompts however struggles with large context. However it’s a terrific reward to the open-source group. It competes with the top-paid fashions whereas being utterly open-weight. As customers and builders use Qwen-Picture increasingly, we will quickly count on the Qwen-Picture mannequin to steer the Picture Technology Evaluation too!

My last thought – attempt the Qwen-Picture Mannequin. It’s good, we’re simply surrounded by quite a lot of nice fashions to not realise its potential. 

You may as well examine Discovering the Greatest AI Picture Technology Mannequin.

If you wish to examine different FREE picture era fashions, you possibly can confer with the next weblog: Prime 7 AI Picture Mills to Attempt in 2025.




Anu Madan is an skilled in educational design, content material writing, and B2B advertising, with a expertise for reworking complicated concepts into impactful narratives. Along with her deal with Generative AI, she crafts insightful, modern content material that educates, conjures up, and drives significant engagement.