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Eric Lau

andywu-kby

https://rasterscan.com/

RasterScan

AI & ML interests

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reacted to wang12390's post with 🔥 about 3 hours ago

Transforming Ideas Into Art: My New AI Speed Painting Demo I’m excited to share my latest AI speed painting demonstration, showcasing how quickly and smoothly AI can transform a simple idea into a fully rendered artwork. This video highlights the power of real-time AI brushwork, dynamic color composition, and fluid scene construction — all generated using my custom Miragic Speed Painting engine. What This Demo Shows - Ultra-fast painting generation from start to finish - Smooth, natural brushstrokes that feel hand-drawn - Stable composition and color consistency - A cinematic visual style suitable for creative projects - No diffusion-style noise or randomness — just pure painting Speed painting is perfect for: - Content creators and video editors - Graphic designers and social media marketers - Artists exploring quick concepts - Businesses needing fast creative assets - Anyone who wants beautiful visuals… without waiting minutes or hours Watch the Video I’ve attached the full speed painting demo above. Feel free to share your thoughts or ask how it was created. Feedback Welcome I’m actively improving the system, so your ideas help shape the next features: What style should I paint next? Should I release a public web app or API? Would you like tutorials on how I generate these scenes?

reacted to wang12390's post with ❤️ 8 days ago

Garment Try-On: Transforming Fashion Design and Shopping with AI Discover how AI-powered Garment Try-On technology transforms fashion design, e-commerce, and sustainability with realistic 3D garment visualization. https://huggingface.co/spaces/Miragic-AI/Miragic-Virtual-Try-On

reacted to jasoncorkill's post with 🚀 8 days ago

Do you remember https://thispersondoesnotexist.com/ ? It was one of the first cases where the future of generative media really hit us. Humans are incredibly good at recognizing and analyzing faces, so they are a very good litmus test for any generative image model. But none of the current benchmarks measure the ability of models to generate humans independently. So we built our own. We measure the models ability to generate a diverse set of human faces and using over 20'000 human annotations we ranked all of the major models on their ability to generate faces. Find the full ranking here: https://app.rapidata.ai/mri/benchmarks/68af24ae74482280b62f7596 We have release the full underlying data publicly here on huggingface: https://huggingface.co/datasets/Rapidata/Face_Generation_Benchmark

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reacted to wang12390's post with 🔥 about 3 hours ago

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126

Transforming Ideas Into Art: My New AI Speed Painting Demo

I’m excited to share my latest AI speed painting demonstration, showcasing how quickly and smoothly AI can transform a simple idea into a fully rendered artwork.

This video highlights the power of real-time AI brushwork, dynamic color composition, and fluid scene construction — all generated using my custom Miragic Speed Painting engine.

What This Demo Shows

- Ultra-fast painting generation from start to finish

- Smooth, natural brushstrokes that feel hand-drawn

- Stable composition and color consistency

- A cinematic visual style suitable for creative projects

- No diffusion-style noise or randomness — just pure painting

Speed painting is perfect for:

- Content creators and video editors
- Graphic designers and social media marketers
- Artists exploring quick concepts
- Businesses needing fast creative assets
- Anyone who wants beautiful visuals… without waiting minutes or hours

Watch the Video

I’ve attached the full speed painting demo above.
Feel free to share your thoughts or ask how it was created.

Feedback Welcome

I’m actively improving the system, so your ideas help shape the next features:

What style should I paint next?
Should I release a public web app or API?
Would you like tutorials on how I generate these scenes?

reacted to wang12390's post with ❤️ 8 days ago

Post

1970

Garment Try-On: Transforming Fashion Design and Shopping with AI

Discover how AI-powered Garment Try-On technology transforms fashion design, e-commerce, and sustainability with realistic 3D garment visualization.

Miragic-AI/Miragic-Virtual-Try-On

reacted to jasoncorkill's post with 🚀 8 days ago

Post

4652

Do you remember https://thispersondoesnotexist.com/ ? It was one of the first cases where the future of generative media really hit us. Humans are incredibly good at recognizing and analyzing faces, so they are a very good litmus test for any generative image model.

But none of the current benchmarks measure the ability of models to generate humans independently. So we built our own. We measure the models ability to generate a diverse set of human faces and using over 20'000 human annotations we ranked all of the major models on their ability to generate faces. Find the full ranking here:
https://app.rapidata.ai/mri/benchmarks/68af24ae74482280b62f7596

We have release the full underlying data publicly here on huggingface: Rapidata/Face_Generation_Benchmark

reacted to Locutusque's post with 🔥 8 days ago

Post

2558

🚀 AutoXLA - Accelerating Large Models on TPU
AutoXLA is an experimental library that automates the distribution, optimization, and quantization of large language models for TPUs using PyTorch/XLA. It extends the Hugging Face Transformers interface with TPU-aware features such as automatic sharding, custom attention kernels, and quantization-aware loading, making large-scale deployment and training both simpler and faster.
With quantization and Splash Attention kernels, AutoXLA achieves up to 4× speedups over standard Flash Attention implementations, significantly improving throughput for both inference and training workloads.
Whether you’re experimenting with distributed setups (FSDP, 2D, or 3D sharding) or optimizing memory via LanguageModelQuantizer, AutoXLA is built to make scaling LLMs on TPU seamless.
⚠️ Note: This is an experimental repository. Expect rough edges! Please report bugs or unexpected behavior through GitHub issues.
🔗 GitHub Repository: https://github.com/Locutusque/AutoXLA

reacted to jandrewq's post with 👍 8 days ago

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2332

QwerkyAI/Qwerky-Optimized-Llama3.2-Mamba-0.2-3B-Instruct

QwerkyAI

reacted to mokady's post with 🔥 8 days ago

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1478

Fibo technical paper is out:

https://arxiv.org/abs/2511.06876

reacted to wang12390's post with 👍 8 days ago

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3468

How to Use the AI Image Generator
https://miragic.ai/products/image-generator
1. Describe Your Vision: Enter a text prompt describing what you want to create. Example: "A futuristic city skyline at sunset with glowing airships."
2. Select a Style: Choose an art style—Realistic, Anime, Painterly, Surreal, or Minimalist—to match your idea.
3. Generate and Refine: Click "Generate Image" and let the AI do its magic. Want to tweak it? Refine your prompt or try a new style.
4. Download and Share: Save your creation in high resolution or share it directly on social media.

posted an update 9 days ago

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310

👗 Miragic Virtual Try-On — Try Clothes Instantly with AI!

Say goodbye to changing rooms 👋 and hello to instant outfit previews!
Miragic Virtual Try-On
lets users upload a photo and see themselves wearing any outfit — powered by advanced AI image generation and virtual try-on technology.

✨ Key Highlights:

Realistic try-on results with natural body and fabric alignment

Supports multiple poses and clothing styles

Fast, private, and easy to integrate into fashion platforms

Perfect for fashion e-commerce, digital styling, and virtual fitting rooms.

👉 Try the demo now: https://miragic.ai/products/virtual-try-on

🔗 Powered by Miragic — creating the future of AI-driven visual experiences.

#AI #VirtualTryOn #Miragic #FashionTech #AIGeneration #EcommerceInnovation

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

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3132

We have trained a LBM-Eraser with RORD-Dataset in the open 🔥

🚀 1-step only inference, no distillation
🪶 Light backbone :SD1.5
🧠 Light training : converge in 6k steps

Now let's improve this, especially the inpainting capabilities. Stay tuned for more :-)

LBM paper : LBM: Latent Bridge Matching for Fast Image-to-Image Translation (2503.07535)
Our LBM fork : https://github.com/finegrain-ai/LBM

reacted to their post with 👍 about 2 months ago

Post

3089

Hello everyone
Good day!

We have launched the product - Virtual Try On 🚀
Say goodbye to the uncertainty of online shopping with Miragic’s Virtual Try-On solution! Our cutting-edge AI technology lets you try on clothes virtually, offering a seamless and interactive shopping experience. Whether you're exploring new outfits or simply trying before you buy, Miragic gives you a realistic view of how items will look on you—without ever stepping into a store.

Miragic-AI/Miragic-Virtual-Try-On

🌟 Key Features:
- Realistic 3D Try-On: See how clothes fit and look on your virtual self in real-time.
- Personalized Fit: Using advanced body-scanning tech, Miragic adjusts the fit based on your unique measurements.
- Wide Fashion Selection: Browse through various brands and styles, all available for a virtual try-on.
- Sustainable Shopping: Reduce the need for returns and make more eco-friendly choices with a virtual experience that helps you shop smarter.

👚 Why Virtual Try-On?
- Save time and money while shopping smarter.
- Discover new styles, fit options, and combinations in a way that’s fast and fun.
- Enjoy a unique, tech-driven shopping experience from the comfort of your home!

Join us today and transform the way you shop online with Virtual Try-On.

10 replies

posted an update about 2 months ago

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2412

Hello everyone,
I hope you’re doing well.

We’re currently developing a chatbot that can analyze and forecast sales directly from Excel files. Do you think this would be useful?

Miragic-AI/Miragic-Sales-Pilot

Please share your feedback by 👍 or 👎 this post.

Best regards,

replied to their post 2 months ago

Hello

posted an update 2 months ago

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3089

10 replies

posted an update 3 months ago

Post

295

Hello everyone! 👋

I’m excited to share our AI-powered Speed Painting technology with you. It allows artists, designers, and hobbyists to create stunning digital art in just seconds.

👉 Try it out here: Miragic-AI/Miragic-Speed-Painting

We’d love to hear your feedback and see the amazing artworks you create!

Best regards,

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Eric Lau

AI & ML interests

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