Well, that is objectively not what the models do, so they are just wrong. The question of the net social benefits of automating skilled craft is open for discussion. Generally, I think “Learn from all that you see” is virtuous behavior, and I would have a hard time condemning it.
AI
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Stable Diffusion Hand Quality Limited by Training Resolution
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I still don't think you make sense lmfao but np The problem is not with training material, the problem is SD is trained on 512×512 mostly, now SD2 on 786×786, those are low resos and hard to see hands properly It'll be solved once reso of training pics goes up
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Cerebras Systems CEO Interview: Raising the Bar in AI
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AI Business' @wyliewong recently interviewed our CEO, noting that “Cerebras Systems is one of those rare companies in Silicon Valley that continues to raise the bar – not easy in a region full of innovative startups.” Read the interview here:
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Why Dreambooth Struggles Rendering Hands Despite Training Data
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You say there is plenty of photos of hands available so that's why Dreambooth can't render hands properly? I don't get it
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SD Resolution Limits and Future Improvements for Image Quality
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Also a lot is it due to 512×512 limit of SD1.5, with SD2 u can do 786×786 so it gets better, but we're all upscaling so real details we will get in a few months when we can do 1024×1024 and 2048×2048 etc after, it will exponentially get better
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Solo Work Preference Over Management Responsibilities
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Yes managing isn't my skill, and I don't rly want to do it. I gotten here by doing things solo, so I think I'll keep trying to do that
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Nvidia Wishes Peace, Happiness and Amazing Discoveries
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Every year brings a new sense of wonder and exploration. We hope that your new year brings you peace, happiness, and amazing discoveries. #HappyHolidays
