Next in Fashion lets you turn a single dress image into realistic multi-angle photos instantly. You can also generate your own custom AI models and build a personal model library that matches your brand. Designers can convert simple sketches into polished dress visuals in seconds. All of this works inside an intuitive node based canvas that encourages fast creative exploration and makes the entire process smooth and fun.
Hi everyone, I’m Ciril, the founder of Next in Fashion.
This project actually started because my girlfriend works in fashion and often struggled to visualize garments during internal meetings. She would have sketches but no way to see how the final piece might look, so I built a simple tool for her to upload a sketch and get a realistic image.
From there it kept growing. I added a node based canvas for better creative exploration and managing generated images, and eventually the photography feature that can generate multi-angle product photos from a single dress image.
I currently have almost 500+ early users signed and one of our customers have used our platform to shoot their entire collection.
I’d love to hear your thoughts and happy to answer any questions.
For simpler silhouettes, the multi-angle system is extremely accurate. For complex surfaces like lace, sequins, sheers, or layered constructions, the model still performs very well, but it reconstructs the texture from the reference rather than copying pixels directly.
In practice, that means accuracy is:
Very high for structure, proportions, and silhouette
85–90% consistent for detailed textures like lace patterns, ribbing, or sequins
You can see in the attached sample:
The lace sleeves, panel placement, and collar details stay consistent across front, side, and back views even though the input was a single image.
Next in Fashion
Coldtea
Is the focus strictly on dresses? Congrats on the launch!
Nas.com
How accurate is the multi-angle generation when the input dress has complex details like lace, sequins, or layered silhouettes?
Next in Fashion
@nuseir_yassin1 Great question,
For simpler silhouettes, the multi-angle system is extremely accurate.
For complex surfaces like lace, sequins, sheers, or layered constructions, the model still performs very well, but it reconstructs the texture from the reference rather than copying pixels directly.
In practice, that means accuracy is:
Very high for structure, proportions, and silhouette
85–90% consistent for detailed textures like lace patterns, ribbing, or sequins
You can see in the attached sample:
The lace sleeves, panel placement, and collar details stay consistent across front, side, and back views even though the input was a single image.