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