🦏
Training Large Diffusion Models
Core contributor of Kandinsky Video | Research Engineer @ Kandinsky Pretrain team
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Kandinsky
- Moscow, Russia
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21:15
(UTC +03:00) - levnovitskiy@gmail.com
- https://t.me/leffffffffffff
- in/lev-novitskiy-022289261
- https://t.me/mlball_days
Highlights
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kandinskylab/kandinsky-5
kandinskylab/kandinsky-5 PublicKandinsky 5.0: A family of diffusion models for Video & Image generation
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huggingface/diffusers
huggingface/diffusers Public🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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hao-ai-lab/FastVideo
hao-ai-lab/FastVideo PublicA unified inference and post-training framework for accelerated video generation.
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Diffusion-Reward-Modeling-for-Text-Rendering
Diffusion-Reward-Modeling-for-Text-Rendering PublicComparison of Diffusion RLHF algorithms for improved Text Rendering
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FlowModels
FlowModels PublicThe aim of this repository is to test and implement Flow-Matching-based models
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graphormer-pyg
graphormer-pyg PublicMicrosoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
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