Semi-Parametric Neural Image Synthesis
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kaan-oktay
authored
2
papers
8 days ago
kaanakan
authored
a
paper
8 days ago
Flux.2 Loras not compatible with Comfyui?
1
#2 opened 14 days ago
by
omarei
Synthetic Data?
2
#2 opened 11 days ago
by
yukiarimo
Add Diffusers AutoModel support
2
#1 opened 13 days ago
by
dn6
Add Diffusers AutoModel support
2
#1 opened 13 days ago
by
dn6
benjamin-paine
updated
2
models
14 days ago
benjamin-paine
published
2
models
14 days ago
gokaygokay
posted
an
update
about 2 months ago
Post
5124
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.
- 2 replies
rizavelioglu
posted
an
update
6 months ago
Post
864
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
8 months ago
rizavelioglu
posted
an
update
9 months ago
Post
3640
Comparing reconstruction quality of various VAEs with an interactive demo
rizavelioglu/vae-comparison
rizavelioglu/vae-comparison
- 1 reply
benjamin-paine
posted
an
update
10 months ago
Post
2816
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
11 months ago
Post
3721
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
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- 12 replies
rizavelioglu
posted
an
update
about 1 year ago
Post
2242
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
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- 3 replies
rizavelioglu
authored
a
paper
about 1 year ago
gokaygokay
posted
an
update
over 1 year ago
Post
20360
FLUX Prompt Generator Updates
- gokaygokay/FLUX-Prompt-Generator
- There are now hundreds of new selections across diverse categories, each offering a lot of choices:
Architecture, Art, Artist, Brands, Character, Cinematic, Fashion, Feelings, Geography, Human, Interaction, Keywords, Objects, People, Photography, Plots, Poses, Scene, Science, Stuff, Time, Typography, Vehicle, Video Game
- In addition to Hugging Face, I've integrated new LLM providers: Groq, OpenAI, and Claude.
- Upgraded Vision Language Models (VLMs): We now feature Qwen2-VL, JoyCaption and Florence-2-large.
- New specialized system prompts for various styles and themes, including Happy, Simple, Poster, Only Objects, No Figure, Landscape, Fantasy.
- gokaygokay/FLUX-Prompt-Generator
- There are now hundreds of new selections across diverse categories, each offering a lot of choices:
Architecture, Art, Artist, Brands, Character, Cinematic, Fashion, Feelings, Geography, Human, Interaction, Keywords, Objects, People, Photography, Plots, Poses, Scene, Science, Stuff, Time, Typography, Vehicle, Video Game
- In addition to Hugging Face, I've integrated new LLM providers: Groq, OpenAI, and Claude.
- Upgraded Vision Language Models (VLMs): We now feature Qwen2-VL, JoyCaption and Florence-2-large.
- New specialized system prompts for various styles and themes, including Happy, Simple, Poster, Only Objects, No Figure, Landscape, Fantasy.
- 6 replies