Hugging Face is becoming the best place to share the most viral AI apps with spaces.

Kolors Virtual Try-on just crossed 6,000,000 unique visitors & is now the #5 most popular space. Congrats to the Kwai Kolors team!

Kwai-Kolors/Kolors-Virtual-Try-On

2 replies

reacted to julien-c's post with 🔥 24 days ago

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8058

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

reacted to nroggendorff's post with 👀 2 months ago

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2260

I still think whitespace in tokenizers are so dumb.
Congrats, you just doubled your vocab size for no reason.

3 replies

liked a model 4 months ago

comfyanonymous/flux_text_encoders

Updated Nov 20, 2024 • 725

updated 2 models 4 months ago

Omarito2412/Tinker-Bell-Flux

Text-to-Image • Updated Sep 6, 2024 • 1.26k • • 1

Omarito2412/Dark-Fantasy-Flux

Text-to-Image • Updated Aug 31, 2024 • 3.48k • • 3

reacted to clem's post with ❤️ 4 months ago

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1785

Very cool to see more and more amazing startups like https://huggingface.co/PrunaAI relying on Hugging Face to get more visibility, distribution and usage!

7 replies

reacted to fantos's post with 🚀 4 months ago

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2455

1. **Overview**
"EveryText" is at the forefront of AI image generation, offering a novel "TBF ('Text by Font') Image Model" that enables the representation of all languages globally in AI-generated images without prior training.

2. **Background**
Platforms like MidJourneyV6 and FLUX have advanced AI image generation, typically supporting English text. Alibaba Group expanded this to include Chinese, Japanese, and Korean, signaling a shift towards global language support.

3. **Challenges**
Existing methods faced several challenges including the need for additional editing, dependency on specific training, and substantial resource requirements. These approaches also struggled with limited vocabulary and were primarily effective only for English.

4. **Innovative Solution**
EveryText utilizes "Fonts" as pre-trained models, allowing any text to be visually represented without traditional training. This approach not only enhances diversity and aesthetics by utilizing various fonts but also ensures unlimited expression.

5. **Using the Service**
EveryText is free and easy to use:
- **Prompt**: Describe the image.
- **Text for Image Generation**: Add your text.
- **Text Position and Size**: Customize the text's placement and size.
- **Font Selection**: Optionally select a font.
- **Advanced Settings**: Further refine the image creation.
- Click "START" to generate the image.

6. **Comparative Analysis**
EveryText supports all languages with superior image quality and text legibility, setting it apart from platforms like MidJourneyV6/Flux and AnyText by Alibaba Group.

7. **Conclusion**
EveryText has revolutionized AI-generated imagery by integrating all global languages, broadening the scope for creative and communicative applications. Its future potential is vast and promising.

**Related Links**
- Huggingface Service: https://fantos-EveryText.hf.space
-email: [email protected]

reacted to Xenova's post with 🔥 5 months ago

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13930

I can't believe this... Phi-3.5-mini (3.8B) running in-browser at ~90 tokens/second on WebGPU w/ Transformers.js and ONNX Runtime Web! 🤯 Since everything runs 100% locally, no messages are sent to a server — a huge win for privacy!
- 🤗 Demo: webml-community/phi-3.5-webgpu
- 🧑‍💻 Source code: https://github.com/huggingface/transformers.js-examples/tree/main/phi-3.5-webgpu

11 replies

updated 6 models 5 months ago

New activity in ByteDance/SDXL-Lightning 8 months ago

What am I doing wrong?

#53 opened 8 months ago by

SamTyurenkov