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Case Study: High-Quality Video to GIF Conversion

This case study demonstrates how to use the GitHub Copilot SDK Pipe with Minimax 2.1 to perform professional-grade video processing: accelerating a video by 1.4x and converting it into a high-quality GIF under 20MB.

đŸŽĨ Recording

Video Processing Demo

Scenario: The user uploaded a 38MB .mov recording and requested a 1.4x speed increase, 1280px width, and a file size limit of 20MB. The model automatically formulated, executed, and verified a two-pass FFmpeg workflow.

🛠ī¸ Implementation

  • Plugin Type: Pipe (GitHub Copilot SDK)
  • Base Model: Minimax 2.1
  • Key Capabilities:
  • System Tool Access: Automatically detects and invokes ffmpeg within the container.
  • Two-Pass Optimization: 1. Pass 1: Analyzes all frames to generate a custom 256-color palette (palettegen). 2. Pass 2: Applies the palette for superior quantization and dithering (paletteuse).
  • Precision Parameters: Implements 1.4x PTS scaling, Lanczos scaling, and 20fps rate control.

đŸ’Ŧ Conversation Highlights

đŸ“Ĩ Import Conversation

You can download the raw chat data and import it into your Open WebUI to see how the model debugs and optimizes the FFmpeg parameters: Download Chat JSON

How to Import? In Open WebUI, click your User Avatar (bottom of left sidebar) -> Settings -> Data -> Import Chats, then select the downloaded file.

1. Processing Requirements

The User provided an input file and specific parameters:

  • Speed: 1.4x (setpts=PTS/1.4)
  • Resolution: 1280px width, auto height
  • Optimization: Must use palette generation technology
  • Constraint: File size < 20MB

2. Analysis Execution

Minimax 2.1 generated and executed the following core logic:

# Pass 1: Generate optimal palette
ffmpeg -i input.mov -vf "fps=20,scale=1280:-1:flags=lanczos,setpts=PTS/1.4,palettegen" palette.png
# Pass 2: Generate final high-quality GIF
ffmpeg -i input.mov -i palette.png -lavfi "[0:v]fps=20,scale=1280:-1:flags=lanczos,setpts=PTS/1.4[v];[v][1:v]paletteuse" output.gif

3. Result Summary

Metric Original Video Processed GIF Status
File Size 38 MB 14 MB ✅ Success
Resolution 3024x1898 1280x803 ✅ Smooth
Speed 1.0x 1.4x ✅ Accurate
Color Quality N/A Optimal 256-color ✨ Crystal Clear

💡 Why This Case Matters

Standard LLMs can only "tell you" how to use FFmpeg. However, a Pipe powered by the GitHub Copilot SDK can:

  1. Interpret complex multimedia processing parameters.
  2. Access raw files within the filesystem.
  3. Execute resource-intensive binary tool tasks.
  4. Validate that the output (size, resolution) meets the user's hard constraints.

View GitHub Copilot SDK Pipe Documentation