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ComfyDeploy: How ComfyUI-SCStepFun works in ComfyUI?

What is ComfyUI-SCStepFun?

To use stepfun's library, you need an official api that supports multimodal inputs such as video and pictures [a/https://platform.stepfun.com/request-restriction](https://platform.stepfun.com/request-restriction)

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI-SCStepFun and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI StepFun Nodes

This is a collection of ComfyUI custom nodes based on the StepFun API. These nodes enable easy implementation of intelligent analysis and processing for images and videos. Currently, video upload is not implemented, and video URL links are required.

🚧 More nodes are being updated...

Key Features

  • 🖼️ Image Content Understanding and Analysis
  • 🎬 Video Content Understanding and Analysis
  • ✨ Intelligent Prompt Generation
  • 💰 Cost-effective API Pricing
  • 🚀 Cloud Processing without Local GPU Resources

Installation

  1. Clone this repository to your ComfyUI's custom_nodes directory:
cd custom_nodes
git clone https://github.com/your-repo/ComfyUI_StepFun.git
  1. Install dependencies:
cd ComfyUI_StepFun
pip install -r requirements.txt

API Key Configuration

  1. Register an account at StepFun Platform
  2. Get your API key from the account overview page
  3. Add the API key to the configuration file

Usage

Example Workflows

The following examples are provided in the workflow folder:

Role2Story Workflow

  • File: workflow/role2story.json
  • Features: By inputting character/scene/story descriptions, automatically generate:
    • 🎨 Theme Poster
    • 🎬 Three Key Plot Shots
  • This workflow demonstrates the model's content understanding and intelligent prompt generation capabilities

Role2Story Workflow Example

Video Caption Workflow

🚧 More workflow examples are being updated...

Supported Features

  • Image Content Recognition and Description
  • Video Scene Analysis
  • Intelligent Prompt Generation
  • Native Video Upload Support
  • [Other Features]

Video Processing Guide

Native Video Upload

You can now use the StepFun Video File Uploader node for direct video uploads. Simply provide the absolute path to your video file (e.g., C:\Users\Administrator\Downloads\test.mp4). The node will return a stepfile://file-id string that can be used as input for the video_url parameter in the StepFun Video Chat node.

Video Chat Example

Video File Processing with FFmpeg

For videos larger than 128MB or in different formats, you can use FFmpeg for preprocessing:

Splitting Video Files

To split a large video into smaller segments (120-second chunks):

ffmpeg -i sample.mp4 -acodec copy -f segment -segment_time 120 -vcodec copy -reset_timestamps 1 -map 0 output_time_%d.mp4

Converting to MP4 Format

To convert videos from other formats to MP4:

ffmpeg -i sample.mkv -codec copy sample.mp4

Note: It's recommended to compress videos before uploading for better performance.

Notes

  • API calls require internet connection
  • Ensure correct API key configuration
  • Comply with API usage limits and terms

Contact

  • Email: 3354405250@qq.com
  • [Other Contact Methods]

If you encounter any issues while using this project, please feel free to contact us through the above methods.