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hagrid reviews and mentions
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COMPLETE OVERRIDE, THE WORKER. Reality on the second play. The keyframes were created at full size directly in the txt2img tab of Stable Diffusion all at the same time. It took about 30 minutes.
Not sure how HaGRID is going but one would expected hands problem would be already solved by now.
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Magda s Jitkou a jejich mech před Ústavem robotiky v Praze někdy na konci srpna roku 1982 ;-) #midjourneyart
Pokud sháníš detailní ruce, tak HaGRID by mohl pomoct
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Meirl
For hands and fingers, if you know how to inpaint and/or integrate datasets into your own model, HaGRID is by far the best dataset and there are a few models you can use for basic inpainting/correction. For other limbs you need just a better model and/or learn negative prompts better. The Stable Diffusion sub can help with both.
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Are there any known hand-trained models?
This may be useful? https://github.com/hukenovs/hagrid
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GREAT NEWS!: Automagic 1111 added support for Stable Diffusion 2.0 - thank you so much !!!
By the way, this is the hands-model Emad mentioned yesterday they want to start training on for SD: https://github.com/hukenovs/hagrid
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HaGRID (HAnd Gesture Recognition Image Dataset)
Github
- HaGRID is a large image dataset for hand gesture recognition systems
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A note from our sponsor - WorkOS
workos.com | 27 Apr 2024
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The primary programming language of hagrid is Python.
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