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