mbreuss/consistency_trajectory_models_toy_task
Minimal unofficial implementation of Consistency Trajectory models on a 1D toy task.
This project offers a minimal, unofficial implementation of Consistency Trajectory Models on a simple 1D task. It allows researchers to explore how these generative models learn to predict probability flow ODE trajectories directly, differing from traditional diffusion models. The output demonstrates how these models perform at generating data based on learned trajectories, and it's intended for machine learning researchers and academics studying generative AI.
No commits in the last 6 months.
Use this if you are a machine learning researcher or student who wants to understand and experiment with the core concepts of Consistency Trajectory Models on a basic, controlled dataset.
Not ideal if you need a robust, production-ready implementation for high-resolution image generation or real-world applications.
Stars
22
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/mbreuss/consistency_trajectory_models_toy_task"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PrunaAI/pruna
Pruna is a model optimization framework built for developers, enabling you to deliver faster,...
bytedance/LatentSync
Taming Stable Diffusion for Lip Sync!
haoheliu/AudioLDM-training-finetuning
AudioLDM training, finetuning, evaluation and inference.
Text-to-Audio/Make-An-Audio
PyTorch Implementation of Make-An-Audio (ICML'23) with a Text-to-Audio Generative Model
teticio/audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead...