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