ChatGPT Picture 1.5 vs Nano Banana Professional: AI Picture Showdown

With ChatGPT’s newest mannequin taking the world by storm, you could be questioning concerning the previous guard: Nano Banana Professional. Giving the style {of professional} grade picture technology and modifying to all customers, Nano Banana is THE instrument individuals attain out to, for AI-image technology. 

However does this nonetheless maintain true? Will this be the case sooner or later? We’ll discover out on this article, the place we put to check the newest iterations of ChatGPT Picture and Nano Banana throughout difficult duties, to see which one fares properly. 

What’s GPT Picture 1.5?

ChatGPT Picture 1.5 is the newest picture technology mannequin by OpenAI, constructed to show concepts into visuals with pace and precision. Whether or not somebody is creating from a clean immediate or modifying an current photograph, the mannequin delivers outcomes that carefully match the meant imaginative and prescient. It helps exact edits whereas preserving positive particulars and generates pictures as much as 4x quicker than earlier variations.

The mannequin comes with a brand new Photographs expertise inside ChatGPT, that permits easy creation and refinement of pictures.

What’s Nano-Banana Professional?

Nano Banana Professional brings a significant improve over the unique Nano Banana, including superior textual content rendering for clear on-image textual content, exact modifying controls for lighting, digicam angle and facet ratio, crisp 2K decision outputs, improved world data for correct diagrams and infographics, and the power to mix much more pictures seamlessly. It takes every little thing the bottom mannequin was good at and elevates it for skilled, high-quality artistic work.

Learn extra: Nano Banana Professional

Showdown: Let’s Make Some Photographs

These picture technology fashions are superior to start with. Testing how properly they make logos and plushies, could be baby’s play for them, and wouldn’t be a great take a look at of their enhanced capabilities. 

Subsequently, I’d be testing these on the next complicated duties:

Process 1: Multi-Step Picture Enhancing With State Preservation 

What this checks: Whether or not the mannequin can protect scene id, lighting coherence, and object placement throughout a number of edits. Most fashions degrade or “reset” the picture when edits stack.

I used the next picture as an enter:

Now I’d be progressively making edits on it, and would decide how properly the mannequin preserves the picture’s integrity. 

Change the time of day from Night time to Day.

Change the couch with a Wood couch set.

Modify the digicam angle to the angle from the open house outdoors. From the glass doorways seen within the picture trying contained in the room.

Remark:

Nano Banana Professional produced higher outputs as in comparison with ChatGPT Picture 1.5. That is highlighted by the next errors within the ChatGPT response pictures:

1. In altering from evening to day, the backdrop of buildings received altered from the unique. 
2. When changing the couch with a Wood couch set, the middle desk’s construction received modified.

Each the fashions failed in producing a half-way convincing picture within the final process.

Right here’s the enjoyable half: The enter picture was made by ChatGPT Picture itself! However nonetheless it ended up underperforming within the duties. 

Process 2: Dense Instruction Following in a Single Immediate

What this checks: Immediate obedience underneath constraint, textual content rendering accuracy, and compositional planning. Fashions typically get one or two particulars proper and ignore the remainder.

Response:

Remark:

The place Nano Banana Professional made a poster that could possibly be used for selling a tech convention, ChatGPT Picture’s output appears to be like extra like a newbie’s effort at Photoshop. 

Process 3: Technical Diagram With Actual-World Accuracy

What this checks: World data, diagram logic, spatial reasoning, and legible textual content. That is the place “fairly” fashions fail arduous in the event that they don’t truly perceive construction.

Create a labeled infographic explaining how a transformer-based language mannequin processes textual content, together with:
1. Tokenization
2. Consideration layers
3. Embeddings
4. Output possibilities
All labels have to be readable and positioned appropriately.

Response:

Remark:

Each the infographics had their justifiable share of flaws. Nano Banana Professional was nonetheless comparatively higher. The errors had been far and few, the visuals had been on level, and there was a great mixture of textual content in it. This made it simpler to undergo. ChatGPT Picture 1.5, took the purely visible route. However contemplating the redundant step (4th one) and unexplained visuals, it’d be arduous for one to wrap their head round what was shared.

Process 4: Fashion Consistency Throughout A number of Photographs

What this checks: Character id persistence and stylistic continuity. This is among the hardest issues in picture technology proper now.

Generate a three-image storyboard for a brief movie:
Body 1: Opening scene
Body 2: Battle
Body 3: Decision
The identical character should seem in all three frames with constant facial options, clothes, and proportions, whereas lighting and digicam angles change.

Response:

Remark:

Right here’s what a Storyboard means:

• a sequence of drawings, usually with some instructions and dialogue, representing the photographs deliberate for a movie or tv manufacturing.

Once I had requested for a storyboard, I needed some path both implicitly within the picture or supplemented with it. The ChatGPT Picture 1.5 response crammed every little thing in a single picture, which in of itself was bland. 

Nano Banana Professional not solely supplied a number of pictures that present a path however additional added textual content, which might justify the transition throughout the photographs. Very properly made response. 

Process 5: Photorealism vs. Artwork Course Tradeoff

What this checks: Nice-detail rendering, textual content readability, materials realism, and the power to steadiness inventive lighting with industrial accuracy.

Create a product shot of a smartwatch that:
1. Seems photorealistic sufficient for an e-commerce website
2. Makes use of dramatic, studio-style lighting
3. Consists of engraved textual content on the dial that continues to be sharp and readable
4. Maintains appropriate reflections and materials properties

Response:

Remark: 

Nano Banana Professional made a picture that likened a sensible watch reveal shot. ChatGPT Picture made some analog-esque watch within the title of a sensible watch, and as a substitute of the design talking for the smartness, had blatantly added “Smartwatch” throughout the rim of the watch.

Verdict

Right here are some things I had realised whereas utilizing the 2 picture technology fashions:

• One factor that was obvious was that Nano Banana Professional is wayyyy quicker than ChatGPT Picture 1.5. This wait time was accentuated when the prompts had been complicated or had been multi-leveled. 
• The Picture interface of ChatGPT may be very buggy. Typically it really works flawlessly, and also you overlook that it’s there. Different instances, it’d be arduous so that you can even get a picture made out of it. The disparity in expertise is astonishing. 
• ChatGPT Picture for what it presents, is restricted to single picture response. From duties 4 it was clear that when the requirement is a number of or multi-level pictures, the responses of ChatGPT Picture 1.5 falls flat. Any degree of intricate immediate engineering would’nt make the mannequin spout greater than a single picture. 
  Nano Banana Professional, clearly doesn’t have these constraints. 

With all these at hand, It’d be protected to say that Nano Banana Professional, nonetheless holds that edge which made it mainstream within the first place. The place ChatGPT’s Picture 1.5 presents developments in text-based visuals, its efficiency in different regards leaves quite a bit to be anticipated.

For those who’d prefer to study extra about prompting throughout these fashions, you possibly can check out the next articles:

Ceaselessly Requested Questions

I specialise in reviewing and refining AI-driven analysis, technical documentation, and content material associated to rising AI applied sciences. My expertise spans AI mannequin coaching, knowledge evaluation, and knowledge retrieval, permitting me to craft content material that’s each technically correct and accessible.