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Finally make breakthrough with CUDA optimizing work and bring generation time down from ~30 mins to ~1min
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finished up my week at my day job and worked on some new datasets #conf #mylife
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generate my first images with Stable Diffusion 2.0 + Dreambooth on my own GPU VPS #avatarai
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start building dongle for new GPU API so we can go from $10 to $1 per render and increase margins from 75% to 97.5% and try more new features #avatarai
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start first training with Flux on GPU #photoai
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train new Brain Flakes AI with bigger dataset from @molson_hart #photoai
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run test buy for dataset #sponsorgap
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Prepare datasets for demo
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setup new deployment strategy for making neural networks w/less gpu since video data processing tasks are mostly cpu intensive #mused
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study Stanford’s Alpaca instruction model finetuning for LLaMA source data #life
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research lambda and how to update data quickly with new setup
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#spotgetter ⚡ load test customer data steps
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start trial and erroring different settings on different systems to make musicgen run properly on the GPU #ai
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training on full dataset is taking too long so export just the Kings Chamber 360s for testing #mused
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run AI on prod data 🤞 #japandev
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#thecompaniesapi work on performances PR ; watch the GPU struggle with lots of queries
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set up 64GB A100 GPU VPS #avatarai
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See great results with our try-on model on data from the "wild" (simulating with images the model has never seen) #fashn
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