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:
Circle Visualization,Background Color Visualization,Corner Visualization,Twilio SMS Notification,Slack Notification,VLM as Detector,LMM,Polygon Zone Visualization,Camera Focus,Image Slicer,Image Blur,Dot Visualization,Google Gemini,Roboflow Dataset Upload,Stability AI Inpainting,Pixelate Visualization,OpenAI,Image Convert Grayscale,Absolute Static Crop,Stability AI Image Generation,Webhook Sink,Color Visualization,Image Threshold,Halo Visualization,Polygon Visualization,VLM as Classifier,CogVLM,Camera Calibration,Email Notification,Classification Label Visualization,Single-Label Classification Model,Llama 3.2 Vision,Google Vision OCR,Roboflow Dataset Upload,Ellipse Visualization,Bounding Box Visualization,Object Detection Model,Line Counter Visualization,Image Preprocessing,Trace Visualization,Label Visualization,Local File Sink,Image Slicer,Anthropic Claude,Crop Visualization,OCR Model,Relative Static Crop,Model Comparison Visualization,Stitch OCR Detections,Perspective Correction,OpenAI,Mask Visualization,Clip Comparison,Dynamic Crop,CSV Formatter,Florence-2 Model,Instance Segmentation Model,Keypoint Detection Model,Image Contours,SIFT,Reference Path Visualization,Florence-2 Model,Triangle Visualization,Model Monitoring Inference Aggregator,SIFT Comparison,Keypoint Visualization,Multi-Label Classification Model,LMM For Classification,Roboflow Custom Metadata,Grid Visualization,Stitch Images,Blur Visualization - outputs:
Identify Outliers,Cosine Similarity,Identify Changes
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
CLIP Embedding Model in version v1 has.
Bindings
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"
}