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