[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
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Updated
Oct 22, 2024 - Python
[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
Self-supervised contrastive learning for time series via time-frequency consistency
[NeurIPS 2024] Boosting the performance of consistency models with PCM!
Elixir implementation of Delta, the JSON format for describing rich-text content and their changes
Official Repository of the paper "Trajectory Consistency Distillation"
[CVPR 2024] Official implementation of CVPR 2024 paper: "Inversion-Free Image Editing with Natural Language"
Code repository for T2V-Turbo and T2V-Turbo-v2
A Toolkit for OpenAI's Consistency Models.
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Consistency Distillation with Target Timestep Selection and Decoupled Guidance
[NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Unofficial implementation JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation(https://arxiv.org/abs/2310.19180)
Minimal unofficial implementation of Consistency Trajectory models on a 1D toy task.
Implementation of Consistency Models (Song et al 2023) for few-step image generation in Jax.
Unofficial minimal implementation of consistency models (CM) proposed by Song et al. 2023 on a 1D toy task in pytorch
Stable Consistency Tuning: Understanding and Improving Consistency models
Official implementation of our paper "Bidirectional Consistency Models"; and reproduced Improved Consistency Models (iCT).
Unofficial implementation of "Simplifying, Stabilizing & Scaling Continuous-Time Consistency Models" for MNIST
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