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