Integrate Webflow and Hugging Face to automate workflows with scalable backend

Connect Webflow and Hugging Face nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!

Getting Started

How To Connect Webflow and Hugging Face

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Step 1: Add Trigger Node

It is the node that will start your workflow execution.

Step 1: Add Trigger Node

It is the node that will start your workflow execution.

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Step 1: Add Trigger Node

It is the node that will start your workflow execution.

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Step 2: Connect Webflow and Hugging Face

It is the node that will start your workflow execution.

Step 2: Connect Webflow and Hugging Face

It is the node that will start your workflow execution.

02

Step 2: Connect Webflow and Hugging Face

It is the node that will start your workflow execution.

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Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

03

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

04

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

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Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

Node stack

Supported Triggers & Actions

Webflow NODES

Webflow Trigger

Receive real-time updates on your Webflow site changes and trigger workflows based on them

Create Asset Folder

Create an Asset Folder within a given site.

Create Collection

Create a CMS Collection for a Webflow site.

Create Collection Field

Create a custom field in a Webflow CMS collection.

Create Item

Create Item in a CMS Collection on Webflow

Create Live Item

Create live Item in a Collection. This Item will be published to the live site.

Create Product & SKU

Creating a new Product involves creating both a Product and a SKU, since a Product Item has to have, at minimum, a single SKU. [Read More](https://docs.developers.webflow.com/data/reference/create-product)

Delete Collection

Delete a Webflow CMS collection using its ID.

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Delete Collection Field

Delete a custom field in a collection. This endpoint does not currently support bulk deletion.

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Get Asset

Get an Asset.

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Get Collection Details

Get the full details of a Webflow collection from its ID.

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Get Custom Domains

Get a list of all custom domains related to a Webflow site.

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Get Form Schema

Get information about a given Webflow form by ID.

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Get Form Submission

Get information about a given Webflow form submission.

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Get Page Content

Get static content from a static Webflow page.

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Get Page Metadata

Get metadata information for a single Webflow page.

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Get Product and SKUs

Retrieve a single product by its id. All of its SKUs will also be retrieved.

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Get Site

Get details of a specific Webflow site by ID.

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List Asset Folders

List Asset Folders within a given site.

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List Assets

List assets for a given site.

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Hugging Face NODES

Caption Image

Generate caption for the image using Hugging Face's [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) model for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).

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Image Classification

Get classification labels for your image using Hugging Face's [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) model which is a transformer encoder model (BERT-like) pretrained on a large collection of images in a supervised fashion, namely ImageNet-21k, at a resolution of 224x224 pixels. Next, the model was fine-tuned on ImageNet (also referred to as ILSVRC2012), a dataset comprising 1 million images and 1,000 classes, also at resolution 224x224.

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Text Summarization

Summarize long text using Hugging Face's [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) model which is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.

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Text-To-Image

Generate image from text, using Hugging Face's [openskyml/dalle-3-xl](https://huggingface.co/openskyml/dalle-3-xl) test model very similar to Dall•E 3.

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Text-To-Music

Generate music from text using Hugging Face's [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.

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Support

Need Help?

Here are some helpful resources to get you "unstuck"

Start building your
BIGGEST ideas
in the *simplest* of ways.

Start building your
BIGGEST ideas
in the *simplest* of ways.

Start building your BIGGEST ideas in the *simplest* of ways.