badayvedat/CatVTON
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isidentical's
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9 months ago
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1521
It is time for some Aura.
First in our series of fully open sourced / commercially available models by @fal-ai : AuraSR - a 600M parameter upscaler based on GigaGAN.
Blog: https://blog.fal.ai/introducing-aurasr-an-open-reproduction-of-the-gigagan-upscaler-2/
HF: https://huggingface.co/fal-ai/AuraSR
Code: https://github.com/fal-ai/aura-sr
Playground: https://fal.ai/models/fal-ai/aura-sr/playground
What other models would you like to see open-sourced and commercially available? :)
First in our series of fully open sourced / commercially available models by @fal-ai : AuraSR - a 600M parameter upscaler based on GigaGAN.
Blog: https://blog.fal.ai/introducing-aurasr-an-open-reproduction-of-the-gigagan-upscaler-2/
HF: https://huggingface.co/fal-ai/AuraSR
Code: https://github.com/fal-ai/aura-sr
Playground: https://fal.ai/models/fal-ai/aura-sr/playground
What other models would you like to see open-sourced and commercially available? :)
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yushun0410's
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9 months ago
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4632
Hi Huggingfacers!
Thrilled to introduce Adam-mini, an optimizer that achieves on-par or better performance than AdamW with 45% to 50% less memory footprint. Adam-mini can also achieve 49.5% higher throughput than AdamW on Llama2-7B pre-training.
The design of Adam-mini is inspired by certain Hessian structures we observed on Transformers.
Feel free to try it out! Try switching to Adam-mini with the same hyperparams of AdamW, it would work with only half memory. Hope Adam-mini can help save time, cost, and energy in your tasks!
Paper: "Adam-mini: Use Fewer Learning Rates To Gain More" https://arxiv.org/abs/2406.16793
Code: https://github.com/zyushun/Adam-mini
Thrilled to introduce Adam-mini, an optimizer that achieves on-par or better performance than AdamW with 45% to 50% less memory footprint. Adam-mini can also achieve 49.5% higher throughput than AdamW on Llama2-7B pre-training.
The design of Adam-mini is inspired by certain Hessian structures we observed on Transformers.
Feel free to try it out! Try switching to Adam-mini with the same hyperparams of AdamW, it would work with only half memory. Hope Adam-mini can help save time, cost, and energy in your tasks!
Paper: "Adam-mini: Use Fewer Learning Rates To Gain More" https://arxiv.org/abs/2406.16793
Code: https://github.com/zyushun/Adam-mini
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Xenova's
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6078
Florence-2, the new vision foundation model by Microsoft, can now run 100% locally in your browser on WebGPU, thanks to Transformers.js! 🤗🤯
It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
It supports tasks like image captioning, optical character recognition, object detection, and many more! 😍 WOW!
- Demo: Xenova/florence2-webgpu
- Models: https://huggingface.co/models?library=transformers.js&other=florence2
- Source code: https://github.com/xenova/transformers.js/tree/v3/examples/florence2-webgpu
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isidentical's
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Happy to announce https://imgsys.org -- a sister project to Chatbot Arena by lmsys -- for comparing different text guided image generation models models. Try it natively on HuggingFace: https://huggingface.co/spaces/fal-ai/imgsys
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wanghaofan's
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11 months ago
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3647
Greeting!
We are happy to introduce our InstantStyle, which is a framework that employs straightforward yet potent techniques for achieving effective disentanglement of style and content from reference images.
Code: https://github.com/InstantStyle/InstantStyle
Paper: InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation (2404.02733)
Project Page: https://instantstyle.github.io/
We are happy to introduce our InstantStyle, which is a framework that employs straightforward yet potent techniques for achieving effective disentanglement of style and content from reference images.
Code: https://github.com/InstantStyle/InstantStyle
Paper: InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation (2404.02733)
Project Page: https://instantstyle.github.io/