All of us ought to admit that September has been the month of Gemini Nano Banana. Everybody has been taking part in round with the mannequin, posting quirky edits and enjoyable selfies on social media. Chances are high, you tried it too or at the least scrolled previous a dozen of these movie star mashups and 3D figurine posts in your feed. However whereas Nano Banana has dominated the informal aspect of picture era, Qwen has been quietly leveling up the skilled enhancing sport. Simply final month, the workforce launched Qwen-Picture-Edit, and now they’re again with an upgraded model: Qwen-Picture-Edit-2509, that focuses on consistency, flexibility, and management. In comparison with the August launch, the brand new replace makes enhancing extra highly effective for creators, builders, and researchers, whereas nonetheless staying accessible to anybody who needs to experiment.
If you wish to know extra in regards to the earlier mannequin, learn our detailed article on Qwen-Picture-Edit!
What’s New in Qwen-Picture-Edit-2509?
In comparison with final month’s launch, this model introduces 4 main enhancements:
Multi-image Modifying Help
Qwen-Picture-Edit-2509 now means that you can edit throughout a number of photos concurrently. The mannequin has been skilled utilizing picture concatenation, enabling seamless edits throughout mixtures like:
- individual + individual
- individual + product
- individual + scene
It really works greatest with 1–3 enter photos, and likewise integrates nicely with ControlNet maps akin to keypoints for pose adjustments.
Enhanced Single-image Consistency
When enhancing a single picture, the September replace focuses closely on consistency:
- Particular person Modifying: Faces retain their identification throughout completely different poses and portrait kinds.
- Product Modifying: Logos and objects keep their look, making product posters simpler to generate.
- Textual content Modifying: Not solely can you modify the phrases, however it’s also possible to modify fonts, colours, and supplies with precision.
Native ControlNet Help
The replace provides clean integration with ControlNet inputs like depth maps, edge maps, and keypoint maps, increasing inventive management for technical and inventive use circumstances.
Improved Textual content + Picture Integration
Qwen-Picture-Edit-2509 can now mix textual content enhancing seamlessly with picture manipulation. For instance, designing a poster the place fonts, kinds, and visuals work together constantly.
Additionally Learn: Qwen3-Omni Overview: Multimodal Powerhouse or Overhyped Promise?
Palms On Prompts to Strive with Qwen-Picture-Edit-2509
For all these duties, I’m utilizing each Qwen-Picture-Edit-2509 and Nano Banana to check the outputs and likewise see how Qwen performs on every activity.
Process 1: Particular person + Particular person
Immediate: “Use picture A and picture B. Merge them into one picture the place each folks sit on a park bench. Protect face identification and pure lighting.”
The brand new characteristic of the Qwen Picture Edit mannequin nonetheless struggles to maintain facial options intact. As you may see within the picture above, Nano Banana did a greater job of retaining the faces of each folks. Qwen additionally altered the bag within the authentic picture, whereas Nano Banana saved it unchanged.
Process 2: Particular person + Scene
Immediate: “Place this portrait right into a busy Tokyo road at evening with neon indicators. Hold the face identification and proper pores and skin tone.”
Qwen did an amazing job in retaining the facial expressions and general picture high quality. The lightning and general picture mix seems to be good. Nevertheless, Nano Banana went one step forward and edited the background lightning as per the picture inflicting it to look extra actual.
Process 3: Particular person + Product Advert
Immediate: “Use this portrait and this product picture. Make it appear like an advert the place the individual holds the product. Hold product label readable.”
For this activity, I added the photographs of each the mannequin and the product into each fashions utilizing the identical immediate. The output from Qwen seems to be higher, whereas Nano Banana merely positioned the 2 pictures collectively with out a lot thought in combining them.
Process 4: Pose Management with Keypoint Map
The next photos exhibits the method the place a keypoint pose map from one picture is used to switch a particular posture to an individual in a special picture, all whereas preserving their facial identification. The examples additionally present how this expertise will be mixed with different complicated enhancing duties, akin to altering the background and manipulating objects.
I’ve used this new characteristic of Qwen within the following immediate:
Immediate: “Use this portrait and this keypoint pose map. Repose the individual to match the map whereas retaining facial identification.”
Qwen Picture Edit has specific help for keypoint-guided enhancing. That’s why your sketch + keypoint overlay synced completely. It is aware of learn how to learn the keypoint map, then situation the era. If you wish to play with poses, angles, posture, or interactions with landmarks (like Eiffel Tower, Qutub Minar, Taj Mahal, Akshardham), you must follow Qwen Picture Edit (or any mannequin that mentions “pose management” / “keypoint conditioning”).
Nevertheless, Nano Banana doesn’t have a keypoint-map conditioning pipeline. That’s why it simply re-emitted your enter picture with out adjustments: it will probably edit for type, texture, background swaps, and so on., nevertheless it doesn’t parse or implement human/object pose maps.
Process 5: Including Textual content to Picture
Immediate: “The woman within the uploaded picture is holding a chalk board with the textual content “Be a part of my GenAI Masterclass to Change into an Professional in 2025″ written on it”
Between the 2 responses, Qwen’s output is clearly higher. Within the Qwen model, the textual content sits naturally on the board, aligned correctly with the angle, and appears prefer it truly belongs on a chalkboard. The font type is constant, clear, and extremely readable, which makes the message come throughout extra clearly. The textual content blends seamlessly with the board floor, so the ultimate consequence feels genuine and sensible.
Then again, Gemini’s response seems to be extra like a digital overlay. The textual content alignment doesn’t totally match the angle of the board, and the font type seems much less like chalk writing and extra like normal digital textual content. Due to this, the textual content looks like it’s pasted on prime of the board quite than built-in into it.
Process 6: Cartoon or Anime Variant
Immediate: “Flip this image into an anime type character whereas preserving the identical face identification and expression.”
Between the 2 outcomes, Qwen-Picture-Edit-2509’s model is clearly higher as a result of it totally transforms the individual into an anime-style character whereas retaining the identical outfit, pose, and expression, making it trustworthy to the duty immediate, whereas Nano Banana’s model seems to be nearly similar to the enter picture with little or no anime-stylization, so it doesn’t actually fulfill the “anime character” requirement and feels extra like a light-weight retouch than a metamorphosis.
Process 7: Product Poster
Immediate: “Make a clear marketable poster for this shoe. Use a plain background. Add the product title on the backside in daring sort saying – SoulShoe”
Between the 2, Qwen’s poster is healthier as a result of it goes past a plain showcase and really markets the product. The glowing impact makes the sneakers stand out, the tagline “The place Consolation Meets Fashion” provides emotional enchantment, and the “Restricted Version” badge creates urgency, all of which make it appear like a elegant advert marketing campaign, whereas Gemini’s output, although clear {and professional}, feels extra like a easy catalog picture than a marketable poster.
My Verdict
Nano Banana is enjoyable, accessible, and immediately shareable; good for memes, selfies, and social tendencies. Qwen, then again, is structured, versatile, and production-ready, making it the higher alternative for creators, designers, and professionals who need reliability in outputs.
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Conclusion
AI picture fashions are enhancing month by month. August gave us the primary Qwen Picture. September has given us this new model with multi picture help and higher consistency. Subsequent month who is aware of what is going to come. When you love experimenting then open Qwen Chat and take a look at the prompts I shared. Begin with one thing easy like putting your self in a brand new background. Then transfer to multi picture edits and posters.
I’ll hold testing and sharing what works. When you attempt any of those prompts let me know what consequence you bought. Typically the enjoyable is within the surprises.
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