Contains Flux Fill, Canny, and Dev checkpoints in NF4.
Sayak Paul PRO
sayakpaul
AI & ML interests
Diffusion models, representation learning
Recent Activity
updated a dataset about 17 hours ago
huggingface/diffusers-metadata published an article about 19 hours ago
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler new activity 5 days ago
kernels-community/README:[Kernels Request] What kernels would you like to see on the hub next?Organizations
Provides a list of papers focusing on optimizing T2I diffusion models, targeting fewer timesteps, architecture optimization, and more.
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Progressive Distillation for Fast Sampling of Diffusion Models
Paper • 2202.00512 • Published • 2 -
On Distillation of Guided Diffusion Models
Paper • 2210.03142 • Published -
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Paper • 2309.06380 • Published • 33 -
Consistency Models
Paper • 2303.01469 • Published • 8
Contains Flux Fill, Canny, and Dev checkpoints in NF4.
Provides a list of papers focusing on optimizing T2I diffusion models, targeting fewer timesteps, architecture optimization, and more.
-
Progressive Distillation for Fast Sampling of Diffusion Models
Paper • 2202.00512 • Published • 2 -
On Distillation of Guided Diffusion Models
Paper • 2210.03142 • Published -
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Paper • 2309.06380 • Published • 33 -
Consistency Models
Paper • 2303.01469 • Published • 8