GitHub topics: fast-sampling
Ryota-Kawamura/How-Diffusion-Models-Work
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
Language: Jupyter Notebook - Size: 120 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 153 - Forks: 90
mahshid1378/AnimateLCM
Computation-Efficient Personalized Style Video Generation without Personalized Video Data
Language: Python - Size: 70.5 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1
G-U-N/AnimateLCM
[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
Language: Python - Size: 71.5 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 636 - Forks: 47
jabir-zheng/TCD
Official Repository of the paper "Trajectory Consistency Distillation"
Language: Python - Size: 100 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 327 - Forks: 13
yhZhai/mcm
[NeurIPS 2024] Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation
Language: Python - Size: 32 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 45 - Forks: 4
neeraj1bh/diffusion-models
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
Language: Jupyter Notebook - Size: 67.9 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
