Qwen2.5-VL

Class: Qwen25VLBlockV1

Source: inference.core.workflows.core_steps.models.foundation.qwen.v1.Qwen25VLBlockV1

This workflow block runs Qwen2.5-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/qwen25vl@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 Qwen2.5-VL. Otherwise it will just be None.	❌
model_version	str	The Qwen2.5-VL model to be used for inference..	✅
system_prompt	str	Optional system prompt to provide additional context to Qwen2.5-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 Qwen2.5-VL in version v1.

• inputs: Image Convert Grayscale, Absolute Static Crop, Relative Static Crop, Label Visualization, Line Counter Visualization, Background Color Visualization, Stitch Images, Camera Focus, Image Contours, Image Preprocessing, Image Slicer, Reference Path Visualization, SIFT Comparison, Triangle Visualization, Grid Visualization, Polygon Zone Visualization, Multi-Label Classification Model, Keypoint Visualization, Depth Estimation, Bounding Box Visualization, Image Blur, Perspective Correction, Halo Visualization, Object Detection Model, Ellipse Visualization, Color Visualization, Crop Visualization, Dot Visualization, Pixelate Visualization, Single-Label Classification Model, Model Comparison Visualization, Classification Label Visualization, Camera Calibration, Instance Segmentation Model, Stability AI Image Generation, Polygon Visualization, Trace Visualization, Corner Visualization, Image Threshold, Blur Visualization, Image Slicer, Stability AI Inpainting, Keypoint Detection Model, Mask Visualization, SIFT, Circle Visualization, Dynamic Crop
• outputs: Detections Consensus

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Qwen2.5-VL in version v1 has.

Bindings

• input

  • images (image): The image to infer on..
  • model_version (roboflow_model_id): The Qwen2.5-VL model to be used for inference..

• output

  • parsed_output (dictionary): Dictionary.

Example JSON definition of step Qwen2.5-VL in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/qwen25vl@v1",
    "images": "$inputs.image",
    "prompt": "What is in this image?",
    "model_version": "qwen25-vl-7b",
    "system_prompt": "You are a helpful assistant."
}