> For the complete documentation index, see [llms.txt](https://davidadeola.gitbook.io/influx-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://davidadeola.gitbook.io/influx-ai-whitepaper/5.0-influx-ai-use-cases-and-applications/5.2-multimodal-technology-framework/5.2.2-dressing-assistant-technology-stack.md). # 5.2.2 Dressing Assistant Technology Stack The way we help users become dressing consultants is to directly show them how they would look wearing clothes according to our suggestions. This allows us to train users to wear different clothes with just one photo of them. Not only can we 100% restore product details, but we can also achieve high controllability and high precision. **Image model: It knows what is fashionable** By analyzing and learning from global user clothing data, we have created an image model that can provide personalized fashion outfit recommendations. From the user's perspective, the AI ​​dressing assistant can generate customized fashion plans based on the user's body shape, preferences and other information to meet the user's personalized needs. Through deep learning and pattern recognition, it will understand the user's preferences and behavioral habits more and more, achieve accurate recommendations, improve consumption efficiency, and ultimately effectively improve the user's experience and satisfaction - the user will find that every piece of clothing recommended is what he likes. **Body Model** The models on the market can generally only change their faces, but their figures and bodies are exactly like those of models, and they cannot achieve the effect of trying on clothes at all. We train the body shape library in advance and automatically train the user's head and body to be closest to their own appearance, so that people of different body shapes can easily feel the effect of their own try-on. ![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252FTM5QJ9rhleFTeyZnaHwo%252Fe88f92aaba61ccf36280a7eace6c527d.JPG%3Falt%3Dmedia%26token%3D66208e84-7c07-4ed6-8183-ab4a8905c98c\&width=768\&dpr=4\&quality=100\&sign=749f4094cf4e2957101afb7e73fe3f3e395e0379d65c9a53bdb58df609b2798a) **Clothes repainted real try-on model** When we put on clothes, they must look different from the ones in the pictures, because the clothes in the pictures are still and not supported by the body. After continuous training, our clothes can be worn on the body very realistically. ![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252FJZrW9SViBQhlpMs189hw%252FWechatIMG446_%25E5%2589%25AF%25E6%259C%25AC.jpg%3Falt%3Dmedia%26token%3Dc7897ba3-3488-4b3a-bb19-99b552cf3b6b\&width=768\&dpr=4\&quality=100\&sign=dc0045aad24c5420f6a21396783443e675a3880c1e1ee4c237821962e11c7c25)The real try-on is from multiple angles **Portrait Model** The lighting effect of user face collection is often not the best, and the eyes and expressions are not what they usually look like in social situations. Therefore, if we directly train the face, even if the user wears nice clothes, the overall effect may not be as natural as usual. Therefore, we use the portrait model to present the user's true appearance under the most ideal lighting conditions. ![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252FP7j7CFZiiZOt7oCBVNtx%252Fimage.png%3Falt%3Dmedia%26token%3Deeee2dd2-9d06-4c43-9886-c6ed0bc88a70\&width=768\&dpr=4\&quality=100\&sign=1d022c72fd9fd685d808c34641ca2c1529ad0e258bf1ea75a9e370655df5ec5b) At the same time, the portrait model also supports switching hairstyles without changing the face, realizing a variety of hairstyle design simulations. ![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252FUDyEzUY4Cog3Gx6SgUOO%252F1e9d1e2636125dad20c99f358448334.jpg%3Falt%3Dmedia%26token%3Df065a6eb-d08c-4a45-a737-e81fbea36169\&width=768\&dpr=4\&quality=100\&sign=d210fc2aa674d30620190cc4f2e85e214cce69647c0d1edc7931df1a6dca521a) The portrait model can transplant the face and skin color of another person (the user in our scenario) into the person in the original image, keeping the clothes unchanged. ![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252Ft8F7d3TkudUr1jAwm2ic%252Fimage.png%3Falt%3Dmedia%26token%3Dcfe9db6e-ad85-43d1-95e8-0caf1e89f95b\&width=768\&dpr=4\&quality=100\&sign=c45ccf2c7d722755951f1ebbd911168b478acfb47ea9302975a823cf1a0135eb) **Video style transfer model** Our video style transfer model can animate what it would look like if a user tried on new clothes. We create an AI runway, allowing ordinary people to model and wear fashion items. Brands are no longer distant and indifferent, but become a part of everyone's daily life. ![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252FnPTRYmQJ95qvOcQtv8Ck%252Fimage.png%3Falt%3Dmedia%26token%3D4c17b044-fbdf-4729-86a2-2f3f85e2f4b7\&width=768\&dpr=4\&quality=100\&sign=4159d67cda6cfbd82f7205060fb245d68cbaa15e1ab3ee1d0cc756b851dfd054) --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. 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