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@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 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 Slicer
,Stability AI Inpainting
,Pixelate Visualization
,Perspective Correction
,Relative Static Crop
,Object Detection Model
,SIFT Comparison
,Keypoint Detection Model
,Grid Visualization
,Ellipse Visualization
,SIFT
,Model Comparison Visualization
,Halo Visualization
,Image Contours
,Multi-Label Classification Model
,Crop Visualization
,Absolute Static Crop
,Camera Focus
,Image Blur
,Trace Visualization
,Circle Visualization
,Image Preprocessing
,Background Color Visualization
,Dot Visualization
,Polygon Zone Visualization
,Single-Label Classification Model
,Classification Label Visualization
,Bounding Box Visualization
,Corner Visualization
,Image Slicer
,Dynamic Crop
,Reference Path Visualization
,Label Visualization
,Mask Visualization
,Stitch Images
,Triangle Visualization
,Stability AI Image Generation
,Image Threshold
,Line Counter Visualization
,Keypoint Visualization
,Color Visualization
,Blur Visualization
,Instance Segmentation Model
,Image Convert Grayscale
,Polygon Visualization
- 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-peft",
"system_prompt": "You are a helpful assistant."
}