This repository leverages the Stable Diffusion model with ControlNet to create pixelated GIFs. The pipeline is designed to generate high-quality pixel art animations using advanced diffusion techniques.
- 일관성 있는 개체를 표현하기 위해 Depth, Openpose, ip-adapter 를 모두 활용합니다.
Here are some examples of the pixel art animations generated using this pipeline:
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This sequence illustrates the transformation from the initial input frames to the final pixel art animation:
- Step 1: The initial depth and pose data are captured to understand the structural details of the scene.
- Step 2: These details are processed to maintain consistency across frames.
- Step 3: The processed frames are refined further to enhance the pixel art style.
- Final Output: The culmination of the process results in a cohesive and smooth pixel art animation.
This setup is ideal for generating high-quality pixel art GIFs with a strong focus on control and consistency.








