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

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[string, image]): 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"
}