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:
Single-Label Classification Model,Perspective Correction,Object Detection Model,Stability AI Inpainting,Image Convert Grayscale,Keypoint Detection Model,Morphological Transformation,Object Detection Model,Pixelate Visualization,Stitch Images,QR Code Generator,Instance Segmentation Model,Image Slicer,Image Preprocessing,SIFT,Line Counter Visualization,Polygon Zone Visualization,Image Threshold,Image Slicer,Semantic Segmentation Model,Corner Visualization,Dynamic Crop,Stability AI Outpainting,Halo Visualization,Heatmap Visualization,Keypoint Visualization,Color Visualization,Semantic Segmentation Model,Blur Visualization,Stability AI Image Generation,Camera Focus,Label Visualization,Classification Label Visualization,Camera Focus,Camera Calibration,Morphological Transformation,Trace Visualization,Contrast Enhancement,Bounding Box Visualization,Reference Path Visualization,Depth Estimation,Halo Visualization,Multi-Label Classification Model,Ellipse Visualization,Model Comparison Visualization,Dot Visualization,SIFT Comparison,Image Contours,Mask Visualization,Keypoint Detection Model,Relative Static Crop,Crop Visualization,Background Subtraction,Circle Visualization,Multi-Label Classification Model,Text Display,Polygon Visualization,Background Color Visualization,Absolute Static Crop,Single-Label Classification Model,Instance Segmentation Model,Image Blur,Polygon Visualization,Contrast Equalization,Grid Visualization,Icon Visualization,Triangle Visualization - outputs:
Per-Class Confidence Filter,SAM 3,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"
}