Viewing profile — vipermu
vipermu
HN member- Joined
- Sat, Sep 14, 2019, 9:07 PM UTC
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About vipermu
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Comment #44749671
hey hn! I'm one of the founders at Krea. we prepared a blogpost about how we trained FLUX Krea if you're interested in learning more: https://www.krea.ai/blog/flux-krea-open-source…
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Comment #44748090
hey hn! I'm one of the founders at Krea. we prepared a blogpost about how we trained FLUX Krea if you're interested in learning more: https://www.krea.ai/blog/flux-krea-open-source…
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Comment #38255278
exactly
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Comment #38255277
how will this change with ai though?
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Comment #38225773
it would be interesting to play with LCM-LoRAs and AnimateDiff and see how much much this technique can speed up video generation. not sure if it's possible to just plug-and-play i…
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Comment #38225719
indeed; we're able to make it work with SDXL thanks to a new technique that got released yesterday called LCM-LoRA. with LCM-LoRA you can turn models like SDXL into LCMs without ne…
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Comment #38223986
it uses a new technique called "consistency" that lets latent diffusion models to predict images in much fewer steps. some links here: - https://arxiv.org/abs/2310.04378 - https://…
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Comment #34839702
Here's a brief explanation of ControlNet, a new method that can be used to control large diffusion models in arbitrary conditions, such as image edges, human poses, or segmentation…
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Comment #32945885
really cool! that must have been a lot of work. Here's another great site for references: https://proximacentaurib.notion.site/proximacentaurib/parrot...
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Comment #32945845
Good question. All the generations in the dataset were generated with version 1.3.
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Comment #32945441
yup! btw, if you want compressed generators you'll enjoy this discussion https://discuss.huggingface.co/t/decoding-latents-to-rgb-wit...
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Comment #32945276
in krea.ai you can create collections of images with their prompts by pressing the "+" button in an image. you also have access to all the different components that create each pro…
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Comment #32945026
Stable Diffusion was released just a month ago and look at the amount of applications and improvements that have been developed, it feels like a year! Open-source is the way to get…
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Comment #32944905
We're living some crazy times! A truly AI summer. If you enjoy thinking about how the future of this field might look like, I highly recommend watching the interview between Yannic…
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Comment #32944857
You can use the code in https://github.com/krea-ai/prompt-search to do so. You first want to compute the CLIP embeddings of each prompt, index them using something like K-Nearest N…
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Comment #32944591
fixed! thanks for spotting the issue :)
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Comment #32944563
Thanks! Great work with Lexica. We also released a free API https://devapi.krea.ai/ if anyone wants to check it out. It will soon have endpoints with custom image generation featur…
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Comment #32944004
Thanks! Prompts can be hard to create, we hope that having access to these kinds of datasets we will be able to create tools and conduct studies that help us create better images a…
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Comment #32943982
I wonder how CLIP search would work for finding errors in the dataset. For now, a workaround is to create your own "glitch" collection in krea.ai and store there images with artifa…
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Comment #32943677
The source (Stability AI Discord) is the same, but I don't know how Sharif gathered his data.
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Comment #32943596
We do not have a continuous system, the data is a mix between our own crawled generations and the dataset published by Dave Caruso ( https://github.com/paperdave ). With our crawle…
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Show HN: Open Prompts – dataset of 10M Stable Diffusion generations
Open Prompts is the dataset used to build krea.ai. The data comes from the Stability AI Discord and includes around 10M images from 2M prompts. You can use it for creating semantic…
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Comment #32436947
you should check out these amazing art studies by @proximasan, @EErratica, @KyrickYoung, and @sureailabs (twitter) https://proximacentaurib.notion.site/proximacentaurib/parrot...
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Comment #25188763
Just wrote this article introducing the main ideas on why Transformers can be so powerful for Computer Vision applications. Hope you find it insightful, any feedback is welcome :)