Grid Visualization

Class: GridVisualizationBlockV1

Source: inference.core.workflows.core_steps.visualizations.grid.v1.GridVisualizationBlockV1

The GridVisualization block displays an array of images in a grid. It will automatically resize the images to in the specified width and height. The first image will be in the top left corner, and the rest will be added to the right of the previous image until the row is full.

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
width	int	Width of the output image..	✅
height	int	Height of the output image..	✅

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 Grid Visualization in version v1.

• inputs: Google Gemini, Line Counter, Llama 3.2 Vision, Clip Comparison, SIFT Comparison, Image Contours, Dimension Collapse, Google Gemini, Template Matching, Florence-2 Model, Perspective Correction, Distance Measurement, Size Measurement, Motion Detection, Anthropic Claude, Buffer, OpenAI, Line Counter, Pixel Color Count, Anthropic Claude, Dynamic Zone, Clip Comparison, SIFT Comparison, OpenAI, OpenAI, Florence-2 Model
• outputs: Llama 3.2 Vision, Blur Visualization, Perception Encoder Embedding Model, SAM 3, Perspective Correction, Polygon Zone Visualization, Bounding Box Visualization, Pixelate Visualization, Trace Visualization, QR Code Detection, Segment Anything 2 Model, Image Threshold, Image Slicer, Icon Visualization, Polygon Visualization, Dynamic Crop, Stability AI Outpainting, Model Comparison Visualization, Clip Comparison, Single-Label Classification Model, LMM, OpenAI, Stitch Images, Classification Label Visualization, Florence-2 Model, Mask Visualization, Single-Label Classification Model, Relative Static Crop, SIFT Comparison, Absolute Static Crop, SAM 3, Moondream2, Google Gemini, Circle Visualization, Florence-2 Model, LMM For Classification, Time in Zone, Ellipse Visualization, Image Convert Grayscale, Object Detection Model, OCR Model, SmolVLM2, Anthropic Claude, Image Preprocessing, Image Blur, Stability AI Image Generation, Google Vision OCR, Color Visualization, Keypoint Visualization, Camera Calibration, VLM as Detector, Keypoint Detection Model, EasyOCR, Image Slicer, VLM as Detector, Byte Tracker, Roboflow Dataset Upload, Gaze Detection, Background Color Visualization, Triangle Visualization, Keypoint Detection Model, Multi-Label Classification Model, Object Detection Model, Detections Stabilizer, Halo Visualization, Google Gemini, Corner Visualization, Roboflow Dataset Upload, Dot Visualization, Image Contours, Multi-Label Classification Model, Instance Segmentation Model, VLM as Classifier, Seg Preview, Reference Path Visualization, Morphological Transformation, Motion Detection, OpenAI, Instance Segmentation Model, Barcode Detection, Detections Stitch, Contrast Equalization, YOLO-World Model, Camera Focus, Stability AI Inpainting, Clip Comparison, CogVLM, Line Counter Visualization, Template Matching, CLIP Embedding Model, Email Notification, Crop Visualization, VLM as Classifier, Buffer, OpenAI, SIFT, Background Subtraction, Depth Estimation, SAM 3, Anthropic Claude, Pixel Color Count, Label Visualization, Qwen2.5-VL, OpenAI, Dominant Color

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Grid Visualization in version v1 has.

Bindings

• input

  • images (list_of_values): Images to visualize.
  • width (integer): Width of the output image..
  • height (integer): Height of the output image..

• output

  • image (image): Image in workflows.

Example JSON definition of step Grid Visualization in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/grid_visualization@v1",
    "images": "$steps.buffer.output",
    "width": 2560,
    "height": 1440
}