RecommendersSearch and RAGComputer vision

FashionCLIP

A time-tested model for clothing and footwear: it places an item photo and its description in one space, so it fits similar-item blocks and outfit matching. Fine-tuning for your own assortment is advisable.

The last open version came out in Mar 2023. The family has not been updated for a long time: the model still works, but do not expect fixes or new sizes.

Developer
FashionCLIP research project (Farfetch data), not disclosed
First release
Feb 2023
Latest release
Mar 2023
Sizes
built on CLIP ViT-B/32
License
Commercial use allowedMIT
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Retail and marketplaces, Marketing and content, Media and production
Deploy on your server Hugging Face GitHub

What it does

  • Similar items by photograph
  • Building an outfit and matching add-ons
  • Automatic tagging of clothing cards
  • Catalogue search in the shopper own words

Where it is used

Clothing and footwear storesFashion marketplacesPhoto and content production

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. FashionCLIP 2.0 (на базе Laion CLIP ViT-B/32)
  2. FashionCLIP

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can FashionCLIP be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does FashionCLIP need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does FashionCLIP support Russian?

No. The developer documentation lists the supported languages and Russian is not among them.

Where can I download FashionCLIP and what does it cost?

The FashionCLIP weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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DetailsRecommendersBLaIRUC San Diego (McAuley Lab) · USACommercial use allowed

Light encoders trained on pairs of item card and real review: they produce item vectors for similar-item blocks and for search by a shopper description. The weights are small and run on an ordinary server.

DetailsComputer visionSigLIP (наследник CLIP)Google · USACommercial use allowed

Models that map images and text into a shared space: you can search photos by words and classify images without training. OpenAI's CLIP (2021) is the predecessor.

Details

Source: huggingface.co/patrickjohncyh/fashion-clip. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.