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@v1
to 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:
Grid Visualization
,Ellipse Visualization
,Image Blur
,Image Preprocessing
,Image Slicer
,Instance Segmentation Model
,Dynamic Crop
,Single-Label Classification Model
,Multi-Label Classification Model
,Absolute Static Crop
,Color Visualization
,Line Counter Visualization
,Corner Visualization
,Depth Estimation
,SIFT Comparison
,Stability AI Outpainting
,Keypoint Visualization
,Keypoint Detection Model
,Image Convert Grayscale
,Trace Visualization
,Background Color Visualization
,QR Code Generator
,Model Comparison Visualization
,Mask Visualization
,Image Slicer
,Polygon Zone Visualization
,Image Threshold
,Camera Focus
,Contrast Equalization
,Polygon Visualization
,Stability AI Inpainting
,Dot Visualization
,Object Detection Model
,Morphological Transformation
,Classification Label Visualization
,Relative Static Crop
,Circle Visualization
,Bounding Box Visualization
,Camera Calibration
,Blur Visualization
,Image Contours
,Stitch Images
,Halo Visualization
,Reference Path Visualization
,Triangle Visualization
,Pixelate Visualization
,Perspective Correction
,SIFT
,Icon Visualization
,Label Visualization
,Stability AI Image Generation
,Crop 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"
}