SmolVLM2

Class: SmolVLM2BlockV1

Source: inference.core.workflows.core_steps.models.foundation.smolvlm.v1.SmolVLM2BlockV1

This workflow block runs SmolVLM2, a multimodal vision-language model. You can ask questions about images -- including documents and photos -- and get answers in natural language.

Type identifier

Use the following identifier in step "type" field: roboflow_core/smolvlm2@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
prompt	str	Optional text prompt to provide additional context to SmolVLM2. Otherwise it will just be None.	❌
model_version	str	The SmolVLM2 model to be used for inference..	✅

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 SmolVLM2 in version v1.

• inputs: Polygon Zone Visualization, Camera Calibration, Dot Visualization, Depth Estimation, Image Slicer, QR Code Generator, Morphological Transformation, Trace Visualization, Blur Visualization, Perspective Correction, Corner Visualization, Contrast Equalization, Crop Visualization, Stability AI Image Generation, Grid Visualization, Image Threshold, Halo Visualization, SIFT Comparison, Keypoint Detection Model, Object Detection Model, Model Comparison Visualization, Pixelate Visualization, Line Counter Visualization, Stability AI Outpainting, Relative Static Crop, Image Contours, Polygon Visualization, Camera Focus, Triangle Visualization, SIFT, Single-Label Classification Model, Image Slicer, Image Convert Grayscale, Classification Label Visualization, Keypoint Visualization, Circle Visualization, Image Blur, Bounding Box Visualization, Label Visualization, Instance Segmentation Model, Reference Path Visualization, Absolute Static Crop, Stability AI Inpainting, Icon Visualization, Ellipse Visualization, Multi-Label Classification Model, Dynamic Crop, Color Visualization, Mask Visualization, Image Preprocessing, Stitch Images, Background Color Visualization
• outputs: Detections Consensus

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds SmolVLM2 in version v1 has.

Bindings

• input

  • images (image): The image to infer on..
  • model_version (roboflow_model_id): The SmolVLM2 model to be used for inference..

• output

  • parsed_output (dictionary): Dictionary.

Example JSON definition of step SmolVLM2 in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/smolvlm2@v1",
    "images": "$inputs.image",
    "prompt": "What is in this image?",
    "model_version": "smolvlm2/smolvlm-2.2b-instruct"
}