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Making DeepFakes using DeekFaceLab - Github Code and Implementation Guide
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<blockquote data-quote="Identity" data-source="post: 28761092" data-attributes="member: 559166"><p><strong>Recommended hardware configuration:</strong></p><p></p><p>- modern 8-32 core CPU supporting AVX and SSE instructions</p><p></p><p>- 32GB of RAM for single GPU configuration, 64GB+ for 2+ GPUs</p><p>(in general best to have more RAM than total VRAM of all gpus, so 2x4090 = 2x24GB = 48GB, considering modern kits use 16/32GB sticks that would be 64GB of RAM)</p><p></p><p>- 1000 series or higher Nvidia GPU with 8GB VRAM minimum</p><p>(good for up to 256 resolutions models, for 256-320 11-12GB required, for 320+ 16-24GB GPUs required)</p><p></p><p>- plenty of fast SSD storage space and pagefile set to 4x of RAM size minimum if you have more RAM than total of all GPU's VRAM if you plan on using all GPUs at the same time</p><p>(or 5x to be sure if you have less, say 3x3060 = 36GB on 32GB system).</p><p>You may be able to get away with less or auto settings if you have single gpu, for multiple GPU setups I recommend 5x just to be safe.</p><p></p><p>Cooling - you will need to make sure your hardware is cooled adequately (check temps of your CPU and GPU during heavy use, if anything is above 85 degrees consider changign your CPU cooler and replacing thermal paste on both CPU and GPU if you know how to do it).</p><p></p><p>Power supply - training often can take days and a weak, no-name PSU may fail on you, possibly damaging other hardware, make sure your PSU is from a good brand and isn't an entry level/budget unit, also make sure it meets power requirements of your configuration, use the PSU power calculator below to check if your unit is good enough, if not upgrade it.</p></blockquote><p></p>
[QUOTE="Identity, post: 28761092, member: 559166"] [B]Recommended hardware configuration:[/B] - modern 8-32 core CPU supporting AVX and SSE instructions - 32GB of RAM for single GPU configuration, 64GB+ for 2+ GPUs (in general best to have more RAM than total VRAM of all gpus, so 2x4090 = 2x24GB = 48GB, considering modern kits use 16/32GB sticks that would be 64GB of RAM) - 1000 series or higher Nvidia GPU with 8GB VRAM minimum (good for up to 256 resolutions models, for 256-320 11-12GB required, for 320+ 16-24GB GPUs required) - plenty of fast SSD storage space and pagefile set to 4x of RAM size minimum if you have more RAM than total of all GPU's VRAM if you plan on using all GPUs at the same time (or 5x to be sure if you have less, say 3x3060 = 36GB on 32GB system). You may be able to get away with less or auto settings if you have single gpu, for multiple GPU setups I recommend 5x just to be safe. Cooling - you will need to make sure your hardware is cooled adequately (check temps of your CPU and GPU during heavy use, if anything is above 85 degrees consider changign your CPU cooler and replacing thermal paste on both CPU and GPU if you know how to do it). Power supply - training often can take days and a weak, no-name PSU may fail on you, possibly damaging other hardware, make sure your PSU is from a good brand and isn't an entry level/budget unit, also make sure it meets power requirements of your configuration, use the PSU power calculator below to check if your unit is good enough, if not upgrade it. [/QUOTE]
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