Qwen3-VL¶
Class: Qwen3VLBlockV1
Source: inference.core.workflows.core_steps.models.foundation.qwen3vl.v1.Qwen3VLBlockV1
This workflow block runs Qwen3-VL—a vision language model that accepts an image and an optional text prompt—and returns a text answer based on a conversation template.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/qwen3vl@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 Qwen3-VL. Otherwise it will just be a default one, which may affect the desired model behavior.. | ❌ |
model_version |
str |
The Qwen3-VL model to be used for inference.. | ✅ |
system_prompt |
str |
Optional system prompt to provide additional context to Qwen3-VL.. | ❌ |
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 Qwen3-VL in version v1.
- inputs:
Image Convert Grayscale,Line Counter Visualization,Contrast Equalization,Triangle Visualization,Semantic Segmentation Model,Image Blur,Depth Estimation,Grid Visualization,Stability AI Image Generation,Color Visualization,Model Comparison Visualization,Camera Focus,Absolute Static Crop,Text Display,Keypoint Visualization,SIFT,Trace Visualization,Dot Visualization,Image Slicer,QR Code Generator,Polygon Visualization,Reference Path Visualization,Circle Visualization,Blur Visualization,Relative Static Crop,Halo Visualization,SIFT Comparison,Image Preprocessing,Crop Visualization,Icon Visualization,Label Visualization,Camera Focus,Classification Label Visualization,Pixelate Visualization,Stability AI Inpainting,Polygon Visualization,Corner Visualization,Polygon Zone Visualization,Background Subtraction,Perspective Correction,Stitch Images,Instance Segmentation Model,Mask Visualization,Image Contours,Morphological Transformation,Keypoint Detection Model,Image Threshold,Background Color Visualization,Single-Label Classification Model,Object Detection Model,Camera Calibration,Halo Visualization,Stability AI Outpainting,Image Slicer,Ellipse Visualization,Dynamic Crop,Multi-Label Classification Model,Bounding Box Visualization,Heatmap Visualization - outputs:
Detections Consensus
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Qwen3-VL in version v1 has.
Bindings
-
input
images(image): The image to infer on..model_version(roboflow_model_id): The Qwen3-VL model to be used for inference..
-
output
parsed_output(dictionary): Dictionary.
Example JSON definition of step Qwen3-VL in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/qwen3vl@v1",
"images": "$inputs.image",
"prompt": "What is in this image?",
"model_version": "qwen3vl-2b-instruct",
"system_prompt": "You are a helpful assistant."
}