linoyts (Linoy Tsaban)

reacted to AdinaY's post with 🚀 about 6 hours ago

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Matrix Game 🎮 an interactive foundation model for controllable game world generation, released by Skywork AI.

Skywork/Matrix-Game

✨ 17B with MIT licensed
✨ Diffusion-based image-to-world video generation via keyboard & mouse input
✨ GameWorld Score benchmark for Minecraft world models
✨ Massive Matrix Game Dataset with fine-grained action labels

reacted to merve's post with 🔥 about 17 hours ago

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VLMS 2025 UPDATE 🔥

We just shipped a blog on everything latest on vision language models, including
🤖 GUI agents, agentic VLMs, omni models
📑 multimodal RAG
⏯️ video LMs
🤏🏻 smol models
..and more! https://huggingface.co/blog/vlms-2025

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reacted to AdinaY's post with 😎 6 days ago

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ACE-Step 🎵 a music generation foundation model released by
StepFun & ACEStudio

Model: ACE-Step/ACE-Step-v1-3.5B
Demo: ACE-Step/ACE-Step

✨ 3.5B, Apache2.0 licensed
✨ 115× faster than LLMs (4-min music in 20s on A100)
✨ Diffusion + DCAE + linear transformer = speed + coherence
✨ Supports voice cloning, remixing, lyric editing & more

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reacted to RiverZ's post with 🤗 7 days ago

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🔥 We're thrilled to share some exciting news about ICEdit! Currently, ICEdit app ( RiverZ/ICEdit) has soared to the second place on the weekly trend list of Hugging Face Space, just trailing behind Qwen3. What's more, it also holds the second position on the overall space trend list. This achievement wouldn't have been possible without your incredible support and love. A huge thank you to each and every one of you❤!

🎉 The ICEdit community has been incredibly active, and we've seen a plethora of amazing ComfyUI workflows being shared. For instance, with the help of ComfyUI - nunchaku, you can run ICEdit locally with just 4GB of VRAM. This makes it much more accessible for those with limited hardware resources.

🎇 If you're interested in the detailed information, please head over to our repository. We highly encourage you to give these workflows a try and explore the creative possibilities that ICEdit offers.

Github Repo: https://github.com/River-Zhang/ICEdit
Hugging Face Space: RiverZ/ICEdit

reacted to nyuuzyou's post with 🔥 7 days ago

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🖼️ PublicDomainFiles.com Collection - nyuuzyou/publicdomainfiles

Collection of 206,204 Public Domain multimedia files featuring:

- Comprehensive metadata: title, description, creator name, keywords, original page URL, and more.
- Contains various media types including images, clip art, artwork, fonts, videos, and TV shows.
- All content explicitly released into the public domain under the CC0 license.
- Organized in a single train split with 206,204 entries.

posted an update 8 days ago

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FramePack is hands down one of the best OS releases in video generation 🙇🏻‍♀️🤯
✅ fully open sourced + amazing quality + reduced memory + improved speed
but more even - its gonna facilitate *soooo* many downstream applications
like this version adapted for landscape rotation 👇https://huggingface.co/spaces/tori29umai/FramePack_rotate_landscape

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reacted to RiverZ's post with 🔥 9 days ago

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🚀 Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer～

🎨 Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

🔓 Code is now open source!
🔥 Huggingface DEMO:
RiverZ/ICEdit

🌐 Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
🏠 GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
🤗 Huggingface:
sanaka87/ICEdit-MoE-LoRA

📄 arxiv Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

🔥 Why it’s cool:
- Achieves high-quality, multi-task image editing.
- Uses only 1% of the training parameters and 0.1% of the training data compared to existing methods — extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger — think of it as the “DeepSeek of image editing” 👀

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video — happy to send it your way!

reacted to abidlabs's post with ❤️ 12 days ago

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HOW TO ADD MCP SUPPORT TO ANY 🤗 SPACE

Gradio now supports MCP! If you want to convert an existing Space, like this one hexgrad/Kokoro-TTS, so that you can use it with Claude Desktop / Cursor / Cline / TinyAgents / or any LLM that supports MCP, here's all you need to do:

1. Duplicate the Space (in the Settings Tab)
2. Upgrade the Gradio sdk_version to 5.28 (in the README.md)
3. Set mcp_server=True in launch()
4. (Optionally) add docstrings to the function so that the LLM knows how to use it, like this:

def generate(text, speed=1):
    """
    Convert text to speech audio.

    Parameters:
        text (str): The input text to be converted to speech.
        speed (float, optional): Playback speed of the generated speech.

That's it! Now your LLM will be able to talk to you 🤯

reacted to ginipick's post with 👍 12 days ago

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🎨 Renoir Studio: Impressionist Masterpieces Reborn Through AI ✨

🌟 Experience Renoir's Magical Brushstrokes with AI!

🔗 Try it now: ginigen/flux-lora-renoir
🔗 Model page: openfree/pierre-auguste-renoir
🔗 Collection: openfree/painting-art-ai-681453484ec15ef5978bbeb1

Hello, AI art enthusiasts! 💖
Today I'm introducing a special model - Pierre-Auguste Renoir Studio. Create your own beautiful artwork in the style of the 19th century French Impressionist master! 🖼️
✨ Why Renoir's Style?
Renoir is famous for his luminous colors and soft brushstrokes. His works feature:

🌞 Warm sunshine and dancing light
👨‍👩‍👧‍👦 The beauty of everyday life and joyful moments
🌸 Vibrant nature and portraits of beautiful women
🎭 Lively Parisian social gatherings and outdoor scenes

🔬 Technical Features
This model was developed as a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. The LoRA fine-tuning process leveraged exceptional quality open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements! 🧠💫
🚀 How to Use

Describe your desired scene in the prompt box
Add the "renoir" keyword at the end (this is the trigger keyword!)
Click the 'Generate' button
Enjoy your ideas reborn in Renoir's style!

💡 Recommended Prompt Examples

"Elegant ladies enjoying a picnic in a sunlit garden, wearing pastel dresses and hats renoir"
"People boating by a riverbank, light reflecting on water, warmth of summer renoir"
"Paris cafe terrace, people chatting over coffee, evening sunset renoir"

🌈 Now It's Your Turn!
#AI#Renoir #ArtificialIntelligence#HuggingFace #FLUX #LoRA

reacted to sanaka87's post with 🔥 12 days ago

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🚀 Excited to Share Our Latest Work: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer～

🎨 Daily Paper:
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

🔓 Code is now open source!
🔥 Huggingface DEMO: RiverZ/ICEdit
🌐 Project Website: https://river-zhang.github.io/ICEdit-gh-pages/
🏠 GitHub Repository: https://github.com/River-Zhang/ICEdit/blob/main/scripts/gradio_demo.py
🤗 Huggingface: sanaka87/ICEdit-MoE-LoRA
📄 arxiv Paper: In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer (2504.20690)

🔥 Why it’s cool:
- Achieves high-quality, multi-task image editing.
- Uses only 1% of the training parameters and 0.1% of the training data compared to existing methods — extremely efficient
- Beats several commercial models on background preservation, ID control, and consistency
- Open-source, low-cost, faster, and stronger — think of it as the “DeepSeek of image editing” 👀

We also implemented a Gradio demo app, available directly in our GitHub repo! And we made a flashy demo video — happy to send it your way!

1 reply

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reacted to jasoncorkill's post with 🚀 15 days ago

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🚀 Building Better Evaluations: 32K Image Annotations Now Available

Today, we're releasing an expanded version: 32K images annotated with 3.7M responses from over 300K individuals which was completed in under two weeks using the Rapidata Python API.

Rapidata/text-2-image-Rich-Human-Feedback-32k

A few months ago, we published one of our most liked dataset with 13K images based on the @data-is-better-together 's dataset, following Google's research on "Rich Human Feedback for Text-to-Image Generation" (https://arxiv.org/abs/2312.10240). It collected over 1.5M responses from 150K+ participants.

Rapidata/text-2-image-Rich-Human-Feedback

In the examples below, users highlighted words from prompts that were not correctly depicted in the generated images. Higher word scores indicate more frequent issues. If an image captured the prompt accurately, users could select [No_mistakes].

We're continuing to work on large-scale human feedback and model evaluation. If you're working on related research and need large, high-quality annotations, feel free to get in touch: [email protected].

reacted to AdinaY's post with 🔥 16 days ago

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Kimi-Audio 🚀🎧 an OPEN audio foundation model released by Moonshot AI
moonshotai/Kimi-Audio-7B-Instruct
✨ 7B
✨ 13M+ hours of pretraining data
✨ Novel hybrid input architecture
✨ Universal audio capabilities (ASR, AQA, AAC, SER, SEC/ASC, end-to-end conversation)

reacted to samihalawa's post with 🔥 19 days ago

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SkyReels-V2 INFINITE VIDEO🔥♾️🎬 UNLIMITED duration video generation model by Skywork.

> “Finally is here. An Open-Source model that achieves what we all have waiting for: Infinite Length Videos.’’😮

Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought (2504.05599)

Model: Skywork/SkyReels-V2-T2V-14B-720P

✨ 1.3B & 14B
✨ Generates infinite length videos using Diffusion Forcing with diffusion models + autoregressive methods

reacted to victor's post with 👍 20 days ago

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DIA TTS is just amazing - please share your funniest gens (here is mine) 😂
nari-labs/Dia-1.6B

reacted to AdinaY's post with 🔥 20 days ago

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MAGI-1 🪄 the autoregressive diffusion video model, released by Sand AI

sand-ai/MAGI-1

✨ 24B with Apache 2.0
✨ Strong temporal consistency
✨ Benchmark-topping performance

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posted an update 21 days ago

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We just shipped HiDream Image LoRA fine-tuning to diffusers🧨

HiDream's sota capabilities (and mit license) bring a lot of potential to explore with fine-tunes 🔥

- more upgrades and features soon!
- code, weights and config example 👇

🧶Yarn art lora: linoyts/HiDream-yarn-art-LoRA
code: https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_hidream.md

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reacted to fdaudens's post with 🤯 about 1 month ago

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🎨 Designers, meet OmniSVG! This new model helps you create professional vector graphics from text/images, generate editable SVGs from icons to detailed characters, convert rasters to vectors, maintain style consistency with references, and integrate into your workflow.

@OmniSVG

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reacted to ajibawa-2023's post with 🔥 about 1 month ago

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Hi All, I recently released two Audio datasets which are generated using my earlier released dataset: ajibawa-2023/Children-Stories-Collection

First Audio Dataset:https://huggingface.co/datasets/ajibawa-2023/Audio-Children-Stories-Collection-Large has 5600++ stories in .mp3 format.

Second Audio Dataset:https://huggingface.co/datasets/ajibawa-2023/Audio-Children-Stories-Collection has 600 stories in .mp3 format.

3 replies

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reacted to AdinaY's post with 🔥 about 1 month ago

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SkyReels-A2 🚀 an open framework for controllable video generation from text + images, released by Skywork, KunLun

✨Model:
Skywork/SkyReels-A2
✨Paper:
SkyReels-A2: Compose Anything in Video Diffusion Transformers (2504.02436)

1 reply

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reacted to seawolf2357's post with 🔥 about 1 month ago

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🎨 Ghibli-Style Image Generation with Multilingual Text Integration: FLUX.1 Hugging Face Edition 🌏✨

Hello creators! Today I'm introducing a special image generator that combines the beautiful aesthetics of Studio Ghibli with multilingual text integration! 😍

seawolf2357/Ghibli-Multilingual-Text-rendering

✨ Key Features

Ghibli-Style Image Generation - High-quality animation-style images based on FLUX.1
Multilingual Text Rendering - Support for Korean, Japanese, English, and all languages! 🇰🇷🇯🇵🇬🇧
Automatic Image Editing with Simple Prompts - Just input your desired text and you're done!
Two Stylistic Variations Provided - Get two different results from a single prompt
Full Hugging Face Spaces Support - Deploy and share instantly!

🚀 How Does It Work?

Enter a prompt describing your desired image (e.g., "a cat sitting by the window")
Input the text you want to add (any language works!)
Select the text position, size, and color
Two different versions are automatically generated!

💯 Advantages of This Model

No Tedious Post-Editing Needed - Text is perfectly integrated during generation
Natural Text Integration - Text automatically adjusts to match the image style
Perfect Multilingual Support - Any language renders beautifully!
User-Friendly Interface - Easily adjust text size, position, and color
One-Click Hugging Face Deployment - Use immediately without complex setup

🎭 Use Cases

Creating multilingual greeting cards
Animation-style social media content
Ghibli-inspired posters or banners
Character images with dialogue in various languages
Sharing with the community through Hugging Face Spaces

This project leverages Hugging Face's FLUX.1 model to open new possibilities for seamlessly integrating high-quality Ghibli-style images with multilingual text using just prompts! 🌈
Try it now and create your own artistic masterpieces! 🎨✨

#GhibliStyle #MultilingualSupport #AIImageGeneration #TextRendering #FLUX #HuggingFace

4 replies

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