fal/Florence-2-large-FlashPack
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Gencarmo
published a
model about 16 hours ago
Gencarmo
updated a
model about 16 hours ago
Gencarmo
published a
model 3 days ago
Gencarmo
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model 3 days ago
Gencarmo
published a
model 5 days ago
Gencarmo
updated a
model 5 days ago
Gencarmo
published a
model 5 days ago
Gencarmo
updated a
model 5 days ago
Gencarmo
published a
model 17 days ago
Gencarmo
updated a
model 17 days ago
kaan-oktay
authored 2
papers 10 months ago
kaanakan
authored a
paper 10 months ago
gokaygokay
posted an update 11 months ago
Post
10534
FlashPack: Lightning-Fast Model Loading for PyTorch
https://github.com/fal-ai/flashpack
FlashPack — a new, high-throughput file format and loading mechanism for PyTorch that makes model checkpoint I/O blazingly fast, even on systems without access to GPU Direct Storage (GDS).
With FlashPack, loading any model can be 3–6× faster than with the current state-of-the-art methods like accelerate or the standard load_state_dict() and to() flow — all wrapped in a lightweight, pure-Python package that works anywhere.
https://github.com/fal-ai/flashpack
FlashPack — a new, high-throughput file format and loading mechanism for PyTorch that makes model checkpoint I/O blazingly fast, even on systems without access to GPU Direct Storage (GDS).
With FlashPack, loading any model can be 3–6× faster than with the current state-of-the-art methods like accelerate or the standard load_state_dict() and to() flow — all wrapped in a lightweight, pure-Python package that works anywhere.
- 3 replies
rizavelioglu
posted an update over 1 year ago
Post
1150
TryOffDiff goes multi-garment!
We're excited to share TryOffDiff v2, extending our approach to support multiple garment categories. Key updates include:
- Training on the multi-garment DressCode dataset, covering upper-body, lower-body, and dresses.
- A simplified adapter design for improved training efficiency and modularity.
- Introduction of four specialized models:
- One model per category (upper, lower, dress),
- Plus a multi-garment model capable of generating multiple garments sequentially from a single image.
*PS:* Visit us this Friday at 10:30 AM in ExHall-B for our live demo @CVPR '25!
Demo: rizavelioglu/tryoffdiff
Project page: https://rizavelioglu.github.io/tryoffdiff
We're excited to share TryOffDiff v2, extending our approach to support multiple garment categories. Key updates include:
- Training on the multi-garment DressCode dataset, covering upper-body, lower-body, and dresses.
- A simplified adapter design for improved training efficiency and modularity.
- Introduction of four specialized models:
- One model per category (upper, lower, dress),
- Plus a multi-garment model capable of generating multiple garments sequentially from a single image.
*PS:* Visit us this Friday at 10:30 AM in ExHall-B for our live demo @CVPR '25!
Demo: rizavelioglu/tryoffdiff
Project page: https://rizavelioglu.github.io/tryoffdiff
- 1 reply
rizavelioglu
authored a
paper over 1 year ago
rizavelioglu
posted an update over 1 year ago
Post
3902
Comparing reconstruction quality of various VAEs with an interactive demo
rizavelioglu/vae-comparison
rizavelioglu/vae-comparison
- 1 reply
benjamin-paine
posted an update over 1 year ago
Post
3476
Zonos is flying up the trending tab, and for good reason - it's the most expressive and emotive open-source TTS I've used to date. I'm happy to say it's now supported in Taproot, with added long-form synthesis support and other goodies.
Try it here: https://huggingface.co/spaces/benjamin-paine/zonos-longform
Getting started with Zonos in Taproot is easy; with a working CUDA toolkit and Python/Pip installation, all you have to do is:
See more on GitHub at https://github.com/painebenjamin/taproot/
Try it here: https://huggingface.co/spaces/benjamin-paine/zonos-longform
Getting started with Zonos in Taproot is easy; with a working CUDA toolkit and Python/Pip installation, all you have to do is:
apt install espeak-ng
pip install taproot
taproot install speech-synthesis:zonos-transformer
taproot invoke speech-synthesis:zonos-transformer --text "Hello, world!"See more on GitHub at https://github.com/painebenjamin/taproot/
- 2 replies
benjamin-paine
posted an update over 1 year ago
Post
4358
Hello HuggingFace 🤗, and happy new year! 🎆
I'm thrilled to be releasing the first iteration of a project I've been working on for quite awhile now. It's called Taproot, and it's a seamlessly scalable open-source AI/ML inference engine designed for letting developers build real-time experiences clustered across a small-to-mid-sized cluster, without the burden of hyperscale infrastructure.
Along with the server and task framework is a client library for node and the browser. And what good is a server and client without an app to go alongside it? To that end, I'm also releasing Anachrovox, a fun, real-time hands-free voice assistant that can run on mid-level devices in <12GB VRAM, with web search, weather, and other tools. It uses my real-time browser wake-word library to detect utterances of the phrase 'Hey Vox', 'Hi Vox', 'Okay Vox', 'Anachrovox' or just 'Vox' (alongside some others.)
Releasing this many things at once will definitely result in bugs, so please report them when sighted! Thank you all!
Taproot: https://github.com/painebenjamin/taproot
Taproot JS Client: https://github.com/painebenjamin/taproot.js
Anachrovox: https://github.com/painebenjamin/anachrovox
The Anachrovox Spaces are networked together, balancing load across them to keep all front-ends responsive. You only have to choose what color you like the most!
https://huggingface.co/spaces/benjamin-paine/anachrovox
https://huggingface.co/spaces/benjamin-paine/anachrovox-amber
I'm thrilled to be releasing the first iteration of a project I've been working on for quite awhile now. It's called Taproot, and it's a seamlessly scalable open-source AI/ML inference engine designed for letting developers build real-time experiences clustered across a small-to-mid-sized cluster, without the burden of hyperscale infrastructure.
Along with the server and task framework is a client library for node and the browser. And what good is a server and client without an app to go alongside it? To that end, I'm also releasing Anachrovox, a fun, real-time hands-free voice assistant that can run on mid-level devices in <12GB VRAM, with web search, weather, and other tools. It uses my real-time browser wake-word library to detect utterances of the phrase 'Hey Vox', 'Hi Vox', 'Okay Vox', 'Anachrovox' or just 'Vox' (alongside some others.)
Releasing this many things at once will definitely result in bugs, so please report them when sighted! Thank you all!
Taproot: https://github.com/painebenjamin/taproot
Taproot JS Client: https://github.com/painebenjamin/taproot.js
Anachrovox: https://github.com/painebenjamin/anachrovox
The Anachrovox Spaces are networked together, balancing load across them to keep all front-ends responsive. You only have to choose what color you like the most!
https://huggingface.co/spaces/benjamin-paine/anachrovox
https://huggingface.co/spaces/benjamin-paine/anachrovox-amber
- 12 replies
rizavelioglu
posted an update almost 2 years ago
Post
2363
Introducing Virtual Try-Off (VTOFF), a novel task focused on generating standardized garment images from single photos of clothed individuals. Unlike traditional Virtual Try-On (VTON), which digitally dresses models, VTOFF aims to extract a canonical garment image, posing unique challenges in capturing garment shape, texture, and intricate patterns.
Try it out: rizavelioglu/tryoffdiff
Paper: TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models (2411.18350)
Project page: https://rizavelioglu.github.io/tryoffdiff
Try it out: rizavelioglu/tryoffdiff
Paper: TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models (2411.18350)
Project page: https://rizavelioglu.github.io/tryoffdiff
- 3 replies