ComfyUI > Nodes > ComfyUI-Qwen3.5

ComfyUI Extension: ComfyUI-Qwen3.5

Repo Name

ComfyUI-Qwen3.5

Author
DanielBartolic (Account age: 2370 days)
Nodes
View all nodes(4)
Latest Updated
2026-03-13
Github Stars
0.03K

How to Install ComfyUI-Qwen3.5

Install this extension via the ComfyUI Manager by searching for ComfyUI-Qwen3.5
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Qwen3.5 in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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ComfyUI-Qwen3.5 Description

ComfyUI-Qwen3.5 is a custom ComfyUI node designed for the Qwen3.5-9B model, offering unified multimodal capabilities in image, video, and text understanding, including a thinking mode.

ComfyUI-Qwen3.5 Introduction

ComfyUI-Qwen3.5 is an extension designed to enhance the capabilities of ComfyUI by integrating the Qwen3.5 family of models. These models are unified, natively multimodal, and capable of understanding images, videos, and text. This extension is particularly beneficial for AI artists who wish to leverage advanced AI models for creative tasks such as image analysis, video summarization, and text generation. By using ComfyUI-Qwen3.5, you can streamline your workflow, allowing for more efficient and creative outputs without needing extensive technical knowledge.

How ComfyUI-Qwen3.5 Works

At its core, ComfyUI-Qwen3.5 operates by utilizing advanced transformer-based models that can process and understand multiple types of media inputs. Think of it as a versatile artist's assistant that can interpret and generate content across different media formats. For instance, it can analyze an image to provide descriptive insights, summarize the content of a video, or generate text based on a given prompt. The extension simplifies these complex tasks by providing a user-friendly interface within ComfyUI, making it accessible even to those who are not technically inclined.

ComfyUI-Qwen3.5 Features

  • Image Understanding: This feature allows the model to describe, analyze, or answer questions about images. It's like having a digital art critic who can provide insights into your visual creations.
  • Video Understanding: With this feature, you can summarize or analyze video content. Imagine being able to quickly grasp the essence of a video without watching it in full.
  • Text Generation: This feature supports various text-based tasks such as reasoning, writing, and coding. It's akin to having a co-writer who can help brainstorm ideas or draft content.
  • Thinking Mode: An optional feature that enables chain-of-thought reasoning before generating a response, enhancing the depth and coherence of the output.
  • Quantization Options: Supports FP16, 8-bit, and 4-bit quantization for transformers, and GGUF quantizations for llama.cpp-based models, optimizing performance and resource usage.
  • CPU Support: Both nodes can operate on CPU, making the extension versatile and accessible even without high-end GPU hardware.

ComfyUI-Qwen3.5 Models

ComfyUI-Qwen3.5 includes several models, each tailored for different tasks and performance needs:

  • Qwen 3.5: A transformer-based model supporting image, video, and text inputs. Ideal for comprehensive multimodal tasks.
  • Qwen 3.5 (GGUF): A llama.cpp-based model that is significantly faster, especially on GPUs, making it suitable for high-speed text and image processing.
  • Qwen 3.5 (WaveSpeed API): A cloud-based model that doesn't require local GPU resources, providing access to models with up to 397 billion parameters for extensive and complex tasks.

Troubleshooting ComfyUI-Qwen3.5

Here are some common issues you might encounter and how to resolve them:

  • Model Not Downloading: If automatic downloads fail, manually place the model files in the specified directories as outlined in the installation guide.
  • llama-mtmd-cli Not Found: Ensure you have built the llama.cpp from source as the binary is not included in the llama-cpp-python package.
  • CUDA Initialization Errors: If you encounter CUDA errors, ensure your build configuration matches your GPU architecture. Refer to the build instructions for setting the correct CUDA architectures.
  • CPU-Only Usage: Both nodes can function without a GPU. For the transformers node, it will automatically use FP32 on CPU. For the GGUF node, ensure n_gpu_layers is set to 0.

Learn More about ComfyUI-Qwen3.5

To further explore the capabilities of ComfyUI-Qwen3.5, consider visiting the following resources:

  • Qwen3.5 Models on Hugging Face: Explore the different models available and their specifications.
  • llama.cpp Documentation: Learn more about the llama.cpp backend used for GGUF models.
  • Community Forums: Engage with other AI artists and developers to share experiences and solutions. By leveraging these resources, you can maximize the potential of ComfyUI-Qwen3.5 in your creative projects.

ComfyUI-Qwen3.5 Related Nodes

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