CLIP Embedding Model

Class: ClipModelBlockV1

Source: inference.core.workflows.core_steps.models.foundation.clip.v1.ClipModelBlockV1

Use a CLIP model to create semantic embeddings of text and images.

This block accepts an image or string and returns an embedding. The embedding can be used to compare the similarity between different images or between images and text.

Type identifier

Use the following identifier in step "type" field: roboflow_core/clip@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Unique name of step in workflows.	❌
data	str	The string or image to generate an embedding for..	✅
version	str	Variant of CLIP model.	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to CLIP Embedding Model in version v1.

• inputs: QR Code Generator, Image Convert Grayscale, Google Gemini, Dynamic Crop, Blur Visualization, SIFT, Bounding Box Visualization, Stability AI Outpainting, Camera Focus, Slack Notification, Keypoint Visualization, Trace Visualization, Polygon Visualization, Ellipse Visualization, Model Comparison Visualization, OpenAI, Anthropic Claude, Local File Sink, Triangle Visualization, Polygon Zone Visualization, Halo Visualization, LMM, Stability AI Image Generation, Florence-2 Model, Circle Visualization, Email Notification, Google Vision OCR, Google Gemini, Clip Comparison, Camera Focus, Anthropic Claude, Object Detection Model, Instance Segmentation Model, Perspective Correction, CSV Formatter, Reference Path Visualization, Corner Visualization, Color Visualization, Twilio SMS/MMS Notification, VLM as Classifier, Image Slicer, OpenAI, Stitch OCR Detections, Camera Calibration, Image Blur, VLM as Detector, Dot Visualization, Roboflow Custom Metadata, Image Threshold, Model Monitoring Inference Aggregator, Morphological Transformation, Label Visualization, Background Color Visualization, Classification Label Visualization, OCR Model, Roboflow Dataset Upload, Mask Visualization, Pixelate Visualization, Absolute Static Crop, Keypoint Detection Model, Webhook Sink, Grid Visualization, Contrast Equalization, Image Preprocessing, Google Gemini, Relative Static Crop, Stability AI Inpainting, Image Contours, Line Counter Visualization, Stitch Images, OpenAI, Crop Visualization, OpenAI, Llama 3.2 Vision, Icon Visualization, SIFT Comparison, Depth Estimation, Twilio SMS Notification, Single-Label Classification Model, Florence-2 Model, Background Subtraction, LMM For Classification, Multi-Label Classification Model, EasyOCR, CogVLM, Image Slicer, Roboflow Dataset Upload, Email Notification
• outputs: Identify Changes, Cosine Similarity, Identify Outliers

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds CLIP Embedding Model in version v1 has.

Bindings

• input

  • data (Union[image, string]): The string or image to generate an embedding for..
  • version (string): Variant of CLIP model.

• output

  • embedding (embedding): A list of floating point numbers representing a vector embedding..

Example JSON definition of step CLIP Embedding Model in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/clip@v1",
    "data": "$inputs.image",
    "version": "ViT-B-16"
}