{"action":"created","issue":{"url":"https://api.github.com/repos/jcjohnson/neural-style/issues/272","repository_url":"https://api.github.com/repos/jcjohnson/neural-style","labels_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/272/labels{/name}","comments_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/272/comments","events_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/272/events","html_url":"https://github.com/jcjohnson/neural-style/issues/272","id":163418600,"number":272,"title":"Question: Size of pictures on GTX 1080","user":{"login":"RaveryNet","id":20245120,"avatar_url":"https://avatars.githubusercontent.com/u/20245120?v=3","gravatar_id":"","url":"https://api.github.com/users/RaveryNet","html_url":"https://github.com/RaveryNet","followers_url":"https://api.github.com/users/RaveryNet/followers","following_url":"https://api.github.com/users/RaveryNet/following{/other_user}","gists_url":"https://api.github.com/users/RaveryNet/gists{/gist_id}","starred_url":"https://api.github.com/users/RaveryNet/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/RaveryNet/subscriptions","organizations_url":"https://api.github.com/users/RaveryNet/orgs","repos_url":"https://api.github.com/users/RaveryNet/repos","events_url":"https://api.github.com/users/RaveryNet/events{/privacy}","received_events_url":"https://api.github.com/users/RaveryNet/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-07-01T15:23:09Z","updated_at":"2016-07-01T22:26:12Z","closed_at":null,"body":"I am considering to get a GTX 1080 or 1070 (8GB VRAM).\r\n\r\nDoes anyone know how big the DeepArt pictures can be, which I can create on it?\r\n\r\non a GTX 570 (1280 MB VRAM) but could not create any images, because I was out of RAM immediately (even if I tried 64x64 pictures). Any experiences or educated guesses?"},"comment":{"url":"https://api.github.com/repos/jcjohnson/neural-style/issues/comments/230060501","html_url":"https://github.com/jcjohnson/neural-style/issues/272#issuecomment-230060501","issue_url":"https://api.github.com/repos/jcjohnson/neural-style/issues/272","id":230060501,"user":{"login":"atonn","id":18242819,"avatar_url":"https://avatars.githubusercontent.com/u/18242819?v=3","gravatar_id":"","url":"https://api.github.com/users/atonn","html_url":"https://github.com/atonn","followers_url":"https://api.github.com/users/atonn/followers","following_url":"https://api.github.com/users/atonn/following{/other_user}","gists_url":"https://api.github.com/users/atonn/gists{/gist_id}","starred_url":"https://api.github.com/users/atonn/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/atonn/subscriptions","organizations_url":"https://api.github.com/users/atonn/orgs","repos_url":"https://api.github.com/users/atonn/repos","events_url":"https://api.github.com/users/atonn/events{/privacy}","received_events_url":"https://api.github.com/users/atonn/received_events","type":"User","site_admin":false},"created_at":"2016-07-01T22:26:12Z","updated_at":"2016-07-01T22:26:12Z","body":"on my 4GB 970GTX (where ~300 MB are taken up by the desktop) I can do 920x920 images using ADAM (try normalize_gradients and learn_rate 2.0 for starters). Maybe it also has something to do with better compression rates in later NVIDIA cards, since those on AWS are quite old? Also, if you increase style_scale, the RAM usage will go up respectively."}}
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