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perler new activity 2 days ago

zero-gpu-explorers/README:Pytorch packages compiled with CUDA on Gradio Spaces

pookiefoof authored a paper 5 days ago

DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation

hysts new activity 6 days ago

zero-gpu-explorers/README:use authentication in huggingface Gradio API!!!(hosting on ZeroGPU)

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sayakpaul

posted an update 1 day ago

Post

2198

Commits speak louder than words 🤪

* 4 new video models
* Multiple image models, including SANA & Flux Control
* New quantizers -> GGUF & TorchAO
* New training scripts

Enjoy this holiday-special Diffusers release 🤗
Notes: https://github.com/huggingface/diffusers/releases/tag/v0.32.0

perler

in zero-gpu-explorers/README 2 days ago

Pytorch packages compiled with CUDA on Gradio Spaces

#144 opened 2 days ago by

perler

ShuhuaiRen

authored 2 papers 2 days ago

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

Paper • 2311.17404 • Published Nov 29, 2023

Parallelized Autoregressive Visual Generation

Paper • 2412.15119 • Published 6 days ago • 44

hysts

in zero-gpu-explorers/README 6 days ago

use authentication in huggingface Gradio API!!!(hosting on ZeroGPU)

#129 opened about 2 months ago by

Nerva1228

s3nh

posted an update 6 days ago

Post

1605

Welcome back,

Small Language Models Enthusiasts and GPU Poor oss enjoyers lets connect.
Just created an organization which main target is to have fun with smaller models tuneable on consumer range GPUs, feel free to join and lets have some fun, much love ;3

https://huggingface.co/SmolTuners

3 replies

AtAndDev

posted an update 7 days ago

Post

299

@s3nh Hey man check your discord! Got some news.

4 replies

sayakpaul

posted an update 7 days ago

Post

1547

In the past seven days, the Diffusers team has shipped:

1. Two new video models
2. One new image model
3. Two new quantization backends
4. Three new fine-tuning scripts
5. Multiple fixes and library QoL improvements

Coffee on me if someone can guess 1 - 4 correctly.

1 reply

eienmojiki

posted an update 14 days ago

Post

1391

👀 Introducing 2048 Game API: A RESTful API for the Classic Puzzle Game 🧩

I'm excited to share my latest project, 2048 Game API, a RESTful API that allows you to create, manage, and play games of 2048, a popular puzzle game where players slide numbered tiles to combine them and reach the goal of getting a tile with the value of 2048.

⭐ Features
Create new games with customizable board sizes (3-8)
Make moves (up, down, left, right) and get the updated game state
Get the current game state, including the board, score, and game over status
Delete games
Generate images of the game board with customizable themes (light and dark)

🔗 API Endpoints
POST /api/games - Create a new game
GET /api/games/:gameId - Get the current game state
POST /api/games/:gameId/move - Make a move (up, down, left, right)
DELETE /api/games/:gameId - Delete a game
GET /api/games/:gameId/image - Generate an image of the game board

🧩 Example Use Cases
- Create a new game with a 4x4 board:

curl -X POST -H "Content-Type: application/json" -d '{"size": 4}' http://localhost:3000/api/games

- Make a move up:

curl -X POST -H "Content-Type: application/json" -d '{"direction": "up"}' http://localhost:3000/api/games/:gameId/move

- Get the current game state:

curl -X GET http://localhost:3000/api/games/:gameId

💕 Try it out!
- Demo: eienmojiki/2048
- Source: https://github.com/kogakisaki/koga-2048
- You can try out the API by running the server locally or using a tool like Postman to send requests to the API. I hope you enjoy playing 2048 with this API!

Let me know if you have any questions or feedback!

🐧 Mouse1 is our friend🐧

julien-c

posted an update 15 days ago

Post

7597

After some heated discussion 🔥, we clarify our intent re. storage limits on the Hub

TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)

docs: https://huggingface.co/docs/hub/storage-limits

We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community 🔥

cc: @reach-vb @pierric @victor and the HF team

28 replies

sayakpaul

posted an update 15 days ago

Post

2040

Introducing a high-quality open-preference dataset to further this line of research for image generation.

Despite being such an inseparable component for modern image generation, open preference datasets are a rarity!

So, we decided to work on one with the community!

Check it out here:
https://huggingface.co/blog/image-preferences

7 replies

hysts

in zero-gpu-explorers/README 16 days ago

[GPU-Zero] _pickle.PicklingError: Can't pickle local object 'State.init.<locals>.<lambda>'

#136 opened 16 days ago by

Mar2Ding

sayakpaul

posted an update 16 days ago

Post

2096

The Control family of Flux from @black-forest-labs should be discussed more!

It enables structural controls like ControlNets while being significantly less expensive to run!

So, we're working on a Control LoRA training script 🤗

It's still WIP, so go easy:
https://github.com/huggingface/diffusers/pull/10130

sayakpaul

authored a paper 19 days ago

A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published 20 days ago • 27

dvilasuero

authored a paper 19 days ago

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

Paper • 2412.03304 • Published 21 days ago • 17

dvilasuero

posted an update 19 days ago

Post

2259

🌐 Announcing Global-MMLU: an improved MMLU Open dataset with evaluation coverage across 42 languages, built with Argilla and the Hugging Face community.

Global-MMLU is the result of months of work with the goal of advancing Multilingual LLM evaluation. It's been an amazing open science effort with collaborators from Cohere For AI, Mila - Quebec Artificial Intelligence Institute, EPFL, Massachusetts Institute of Technology, AI Singapore, National University of Singapore, KAIST, Instituto Superior Técnico, Carnegie Mellon University, CONICET, and University of Buenos Aires.

🏷️ +200 contributors used Argilla MMLU questions where regional, dialect, or cultural knowledge was required to answer correctly. 85% of the questions required Western-centric knowledge!

Thanks to this annotation process, the open dataset contains two subsets:

1. 🗽 Culturally Agnostic: no specific regional, cultural knowledge is required.
2. ⚖️ Culturally Sensitive: requires dialect, cultural knowledge or geographic knowledge to answer correctly.

Moreover, we provide high quality translations of 25 out of 42 languages, thanks again to the community and professional annotators leveraging Argilla on the Hub.

I hope this will ensure a better understanding of the limitations and challenges for making open AI useful for many languages.

Dataset: CohereForAI/Global-MMLU