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