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isidentical

https://cuda.lol

isidentical

AI & ML interests

Fast ML inference, 100% GPU utilization, HBM3e and fast memory

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isidentical's activity

posted an update 9 days ago

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1327

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? :)

posted an update about 1 month ago

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1210

One shot evaluations is hard. That is honestly what I learnt throughout the last couple of weeks trying to make imgsys.org data more and more relevant. There is just so much diversity in these models that saying one is better than other one even at a particular domain is impossible.

If you have any suggestions on how we can make the testing easier for one shot, single question image model testing; please give your suggestions under this thread so we can provide a more meaningful data point to the community!

posted an update 2 months ago

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2084

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

1 reply

posted an update 6 months ago

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What is the current SOTA in terms of fast personalized image generation? Most of the techniques that produce great results (which is hard to objectively measure, but subject similarity index being close to 80-90%) take either too much time (full on DreamBooth fine-tuning the base model) or or loose on the auxilary properties (high rank LoRAs).

We have been also testing face embeddings, but even with multiple samples the quality is not anywhere close to what we expect. Even on the techniques that work, high quality (studio-level) pictures seem to be a must so another avenue that I'm curious is whether there is filter/segmentation of the input samples in an automatic way that people have looked in the past?

10 replies