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IuvenisSapiens

ComfyUI_Qwen3-VL-Instruct

The successful integration of Qwen3-VL-Instruct series into the ComfyUI platform has enabled a smooth operation, supporting (but not limited to) text-based queries, video queries, single-image queries, and multi-image queries for generating captions or responses.

AI EngineeringGive agent toolsPython
Open on GitHub
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584
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66
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This week
3
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Created 2024-08-31 · Updated 2026-10-10 · #16562 today
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IuvenisSapiensedwiosMakkiShizu

IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct is ranked 16,562 with 584 stars.

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IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct is ranked 16,562 among these 8 peers; HansZ8/RoboJuDo is ranked 16,561.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryAI Engineering
SubcategoryGive agent tools
KeywordsMultimodal, Visual understanding
Stars584
Forks66
Contributors3
Created date2024-08-31
Updated date2026-10-10
Stars in 1 day0
Stars in 7 days-1
Rank16,562
Previous rank16,348
Rank change-214
7-day stars rank17,910
Previous 7-day stars rank17,856
7-day stars rank change-54
Total stars rank17,141
Previous total stars rank17,110
Total stars rank change-31
CountryChina
README summary

Comfyui_Qwen3-VL-Instruct This is an implementation of Qwen3-VL-Instruct by ComfyUI, which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses. For instance, a user might input a description like "What is the meaning of life? " **Video Query**: When a user uploads a video, the system can analyze the content and generate a detailed caption for each frame or a summary

of the entire video. For example, "Generate a caption for the given video. " **Single-Image Query**: This workflow supports generating a caption for an individual image. A user could upload a photo and ask, "What does this image show? " resulting in a caption such as "A majestic lion pride relaxing on the savannah. " **Multi-Image Query**: For multiple images, the system can provide a collective description or a narrative that ties the images together. For example, "Create a story from

the following series of images: one of a couple at a beach, another at a wedding ceremony, and the last one at a baby's christening. IMPORTANT] Important Notes for Using the Workflow - Please ensure that you have the "Display Text node" available in your ComfyUI setup. If you encounter any issues with this node being missing, you can find it in the ComfyUI_MiniCPM-V-4_5 repository. Installing this additional addon will make the "Display Text node" available for

use. Installation Install from ComfyUI Manager (search for ) Download or git clone this repository into the directory and run: Download Models All the models will be downloaded automatically when running the workflow if they are not found in the directory.

Frequently asked questions

How many stars and forks are recorded?

IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct has 584 stars and 66 forks.

What is the repository rank?

IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct is ranked 16,562.

What language and category are recorded?

IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct has 584 stars, uses Python and belongs to AI Engineering.

Which repository is closest in rank?

IuvenisSapiens/ComfyUI_Qwen3-VL-Instruct is compared with HansZ8/RoboJuDo, ranked 16,561 with 584 stars.

README

Comfyui_Qwen3-VL-Instruct

This is an implementation of Qwen3-VL-Instruct by ComfyUI, which includes, but is not limited to, support for text-based queries, video queries, single-image queries, and multi-image queries to generate captions or responses.

Basic Workflow

  • Text-based Query: Users can submit textual queries to request information or generate descriptions. For instance, a user might input a description like "What is the meaning of life?"

  • Video Query: When a user uploads a video, the system can analyze the content and generate a detailed caption for each frame or a summary of the entire video. For example, "Generate a caption for the given video."

  • Single-Image Query: This workflow supports generating a caption for an individual image. A user could upload a photo and ask, "What does this image show?" resulting in a caption such as "A majestic lion pride relaxing on the savannah."

  • Multi-Image Query: For multiple images, the system can provide a collective description or a narrative that ties the images together. For example, "Create a story from the following series of images: one of a couple at a beach, another at a wedding ceremony, and the last one at a baby's christening."

[!IMPORTANT] Important Notes for Using the Workflow

  • Please ensure that you have the "Display Text node" available in your ComfyUI setup. If you encounter any issues with this node being missing, you can find it in the ComfyUI_MiniCPM-V-4_5 repository. Installing this additional addon will make the "Display Text node" available for use.

Installation

  • Install from ComfyUI Manager (search for Qwen3)

  • Download or git clone this repository into the ComfyUI\custom_nodes\ directory and run:

pip install -r requirements.txt

Download Models

All the models will be downloaded automatically when running the workflow if they are not found in the ComfyUI\models\prompt_generator\ directory.

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