ModelTC/HarmoniCa
[ICML 2025] This is the official PyTorch implementation of "🎵 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration".
This project helps machine learning engineers and researchers accelerate the process of generating high-quality images using diffusion models. It takes existing diffusion transformer models and applies a specialized training framework to make them run faster. The result is significantly quicker image generation without losing visual quality, making it ideal for tasks requiring rapid visual output.
No commits in the last 6 months.
Use this if you are a machine learning engineer working with diffusion models like DiT or PixArt-alpha and need to speed up both their training and inference times for image generation.
Not ideal if you are looking for a simple, off-the-shelf image generation tool for end-users or if your primary focus is on non-transformer-based diffusion models.
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Language
Python
License
Apache-2.0
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Last pushed
Jul 10, 2025
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