Extensions/comfyui_qwen_runninghub
ComfyUI Extension

comfyui_qwen_runninghub

Custom ComfyUI nodes for integrating RunningHub's AI image and video generation services into workflows. (Description by CC)

By marduk191·Created 9 months ago·Updated 9 months ago· 2
marduk191/comfyui_qwen_runninghub
Nodes5
On cloudLocal install
CategoryRunningHub
Stars2
Updated9 months ago

Nodes (5)

RunningHub Image Enhancer
RunningHub
RunningHub Image to Image
RunningHub
RunningHub Image to Video
RunningHub
RunningHub Load Image
RunningHub
RunningHub Text to Image
RunningHub
Readme

** This is untested as I have no access to runninghub. It might work, It might not.

ComfyUI RunningHub Integration

Custom ComfyUI nodes for integrating RunningHub's AI image and video generation services into your workflows.

This package is a conversion of the freeqwenimage web application into ComfyUI custom nodes, allowing you to use RunningHub's AI capabilities directly in ComfyUI.

Features

  • Text to Image Generation - Generate images from text prompts
  • Image to Image Transformation - Transform images using text prompts
  • Image Enhancement - Enhance image quality and resolution
  • Image to Video Conversion - Convert static images into videos
  • URL Image Loading - Load images from URLs into workflows

Installation

1. Install to ComfyUI Custom Nodes

cd ComfyUI/custom_nodes/
git clone https://github.com/marduk191/comfyui_qwen_runninghub.git
cd comfyui_qwen_runninghub
pip install -r requirements.txt

2. Configure RunningHub API Credentials

You need to obtain API credentials from RunningHub:

  1. Sign up for a RunningHub account
  2. Get your WEBAPP_ID and API_KEY from the dashboard

Set them as environment variables:

export RUNNINGHUB_WEBAPP_ID="your_webapp_id_here"
export RUNNINGHUB_API_KEY="your_api_key_here"

Or on Windows:

set RUNNINGHUB_WEBAPP_ID=your_webapp_id_here
set RUNNINGHUB_API_KEY=your_api_key_here

Alternatively, you can enter them directly in the node parameters in ComfyUI.

3. Restart ComfyUI

Restart ComfyUI to load the new nodes. You should see them under the "RunningHub" category.

Available Nodes

RunningHub Text to Image

Generate images from text prompts.

Inputs:

  • prompt (string, required) - Text description of the image to generate
  • negative_prompt (string, optional) - Things to avoid in the image
  • webapp_id (string, required) - Your RunningHub webapp ID
  • api_key (string, required) - Your RunningHub API key
  • timeout (int, optional) - Maximum wait time in seconds (default: 600)

Outputs:

  • IMAGE - Generated image

RunningHub Image to Image

Transform an existing image using a text prompt.

Inputs:

  • image (IMAGE, required) - Source image to transform
  • prompt (string, required) - Description of how to transform the image
  • webapp_id (string, required) - Your RunningHub webapp ID
  • api_key (string, required) - Your RunningHub API key
  • timeout (int, optional) - Maximum wait time in seconds (default: 600)

Outputs:

  • IMAGE - Transformed image

RunningHub Image Enhancer

Enhance the quality and resolution of an image.

Inputs:

  • image (IMAGE, required) - Image to enhance
  • webapp_id (string, required) - Your RunningHub webapp ID
  • api_key (string, required) - Your RunningHub API key
  • timeout (int, optional) - Maximum wait time in seconds (default: 600)

Outputs:

  • IMAGE - Enhanced image

RunningHub Image to Video

Convert a static image into a video.

Inputs:

  • image (IMAGE, required) - Source image
  • prompt (string, optional) - Description for video generation
  • webapp_id (string, required) - Your RunningHub webapp ID
  • api_key (string, required) - Your RunningHub API key
  • timeout (int, optional) - Maximum wait time in seconds (default: 600)

Outputs:

  • video_url (STRING) - URL of the generated video

RunningHub Load Image

Load an image from a URL.

Inputs:

  • url (string, required) - URL of the image to load

Outputs:

  • IMAGE - Loaded image

Example Workflows

Basic Text to Image

  1. Add a "RunningHub Text to Image" node
  2. Enter your prompt: "A beautiful sunset over mountains"
  3. Enter your API credentials
  4. Connect to a "Save Image" node
  5. Queue the workflow

Image Enhancement Pipeline

  1. Add a "Load Image" node with your source image
  2. Connect to "RunningHub Image Enhancer" node
  3. Enter your API credentials
  4. Connect to "Save Image" node
  5. Queue the workflow

Image to Video

  1. Add a "Load Image" node with your source image
  2. Connect to "RunningHub Image to Video" node
  3. Optionally add a prompt for video generation
  4. The output will be a video URL that you can download

API Information

This integration uses the RunningHub API which provides:

  • Base URL: https://www.runninghub.cn
  • Async Processing: Tasks are submitted and polled for completion
  • Typical Processing Time: 30 seconds to 5 minutes depending on the operation
  • Default Timeout: 10 minutes (600 seconds)

Node IDs

The RunningHub API uses different node IDs for different operations:

  • Text to Image: Node ID 1
  • Image Enhancer: Node ID 2
  • Image to Image: Node ID 3
  • Image to Video: Node ID 4

Troubleshooting

"RunningHub credentials are required" Error

Make sure you've set the environment variables or entered the credentials in the node parameters:

export RUNNINGHUB_WEBAPP_ID="your_webapp_id"
export RUNNINGHUB_API_KEY="your_api_key"

Timeout Errors

If tasks are timing out, try increasing the timeout parameter to 900 or 1200 seconds (15-20 minutes).

Task Failed Errors

Check the console output for detailed error messages from the RunningHub API. Common issues:

  • Invalid API credentials
  • Insufficient credits in your RunningHub account
  • Invalid image URLs or formats

Import Errors

Make sure all dependencies are installed:

pip install -r requirements.txt

Source Project

This ComfyUI integration is based on the freeqwenimage web application, which provides a Next.js-based interface to RunningHub's AI services.

License

MIT License

Credits

Support

For issues or questions:

  • Open an issue on GitHub
  • Check RunningHub documentation at https://www.runninghub.cn
  • Refer to the original freeqwenimage project for API usage examples