bfirsh / vqgan-clip
Generates images with VQGAN and CLIP
Prediction
bfirsh/vqgan-clip:2c07b8ebd0d0803e671966e634363b8f7ab4849e6504aac48b9c60320b1eba1aID4nwb7na2kjfzlhjhs3suqzq354StatusSucceededSourceWebHardware–Total duration–CreatedInput
- cutn
- "64"
- seed
- "0"
- prompt
- technicolor hyperspace
- cut_pow
- "1.0"
- step_size
- "0.05"
- iterations
- 250
- initial_weight
- "0.0"
{ "cutn": "64", "seed": "0", "prompt": "technicolor hyperspace", "cut_pow": "1.0", "step_size": "0.05", "iterations": 250, "initial_weight": "0.0" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run bfirsh/vqgan-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "bfirsh/vqgan-clip:2c07b8ebd0d0803e671966e634363b8f7ab4849e6504aac48b9c60320b1eba1a", { input: { cutn: "64", seed: "0", prompt: "technicolor hyperspace", cut_pow: "1.0", step_size: "0.05", iterations: 250, initial_weight: "0.0" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run bfirsh/vqgan-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "bfirsh/vqgan-clip:2c07b8ebd0d0803e671966e634363b8f7ab4849e6504aac48b9c60320b1eba1a", input={ "cutn": "64", "seed": "0", "prompt": "technicolor hyperspace", "cut_pow": "1.0", "step_size": "0.05", "iterations": 250, "initial_weight": "0.0" } ) # The bfirsh/vqgan-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/bfirsh/vqgan-clip/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Run bfirsh/vqgan-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "bfirsh/vqgan-clip:2c07b8ebd0d0803e671966e634363b8f7ab4849e6504aac48b9c60320b1eba1a", "input": { "cutn": "64", "seed": "0", "prompt": "technicolor hyperspace", "cut_pow": "1.0", "step_size": "0.05", "iterations": 250, "initial_weight": "0.0" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-10-19T16:07:55.023957Z", "created_at": "2021-10-19T16:00:34.878345Z", "data_removed": false, "error": null, "id": "4nwb7na2kjfzlhjhs3suqzq354", "input": { "cutn": "64", "seed": "0", "prompt": "technicolor hyperspace", "cut_pow": "1.0", "step_size": "0.05", "iterations": 250, "initial_weight": "0.0" }, "logs": "i: 0, loss: 0.913723, losses: 0.913723\ni: 1, loss: 0.903501, losses: 0.903501\ni: 2, loss: 0.895886, losses: 0.895886\ni: 3, loss: 0.873573, losses: 0.873573\ni: 4, loss: 0.863413, losses: 0.863413\ni: 5, loss: 0.841967, losses: 0.841967\ni: 6, loss: 0.828676, losses: 0.828676\ni: 7, loss: 0.818531, losses: 0.818531\ni: 8, loss: 0.813332, losses: 0.813332\ni: 9, loss: 0.808468, losses: 0.808468\ni: 10, loss: 0.803352, losses: 0.803352\ni: 11, loss: 0.797693, losses: 0.797693\ni: 12, loss: 0.794476, losses: 0.794476\ni: 13, loss: 0.79182, losses: 0.79182\ni: 14, loss: 0.790165, losses: 0.790165\ni: 15, loss: 0.786396, losses: 0.786396\ni: 16, loss: 0.78509, losses: 0.78509\ni: 17, loss: 0.784387, losses: 0.784387\ni: 18, loss: 0.783107, losses: 0.783107\ni: 19, loss: 0.778666, losses: 0.778666\ni: 20, loss: 0.775159, losses: 0.775159\ni: 21, loss: 0.774496, losses: 0.774496\ni: 22, loss: 0.774749, losses: 0.774749\ni: 23, loss: 0.771078, losses: 0.771078\ni: 24, loss: 0.768027, losses: 0.768027\ni: 25, loss: 0.769761, losses: 0.769761\ni: 26, loss: 0.766916, losses: 0.766916\ni: 27, loss: 0.763818, losses: 0.763818\ni: 28, loss: 0.761072, losses: 0.761072\ni: 29, loss: 0.75989, losses: 0.75989\ni: 30, loss: 0.755165, losses: 0.755165\ni: 31, loss: 0.753517, losses: 0.753517\ni: 32, loss: 0.752692, losses: 0.752692\ni: 33, loss: 0.750658, losses: 0.750658\ni: 34, loss: 0.748209, losses: 0.748209\ni: 35, loss: 0.74594, losses: 0.74594\ni: 36, loss: 0.745118, losses: 0.745118\ni: 37, loss: 0.744405, losses: 0.744405\ni: 38, loss: 0.740205, losses: 0.740205\ni: 39, loss: 0.740245, losses: 0.740245\ni: 40, loss: 0.738084, losses: 0.738084\ni: 41, loss: 0.736194, losses: 0.736194\ni: 42, loss: 0.737653, losses: 0.737653\ni: 43, loss: 0.732741, losses: 0.732741\ni: 44, loss: 0.730969, losses: 0.730969\ni: 45, loss: 0.732185, losses: 0.732185\ni: 46, loss: 0.730937, losses: 0.730937\ni: 47, loss: 0.732739, losses: 0.732739\ni: 48, loss: 0.730787, losses: 0.730787\ni: 49, loss: 0.729113, losses: 0.729113\ni: 50, loss: 0.727438, losses: 0.727438\ni: 51, loss: 0.726456, losses: 0.726456\ni: 52, loss: 0.724971, losses: 0.724971\ni: 53, loss: 0.724089, losses: 0.724089\ni: 54, loss: 0.71937, losses: 0.71937\ni: 55, loss: 0.718491, losses: 0.718491\ni: 56, loss: 0.719676, losses: 0.719676\ni: 57, loss: 0.715794, losses: 0.715794\ni: 58, loss: 0.716963, losses: 0.716963\ni: 59, loss: 0.720234, losses: 0.720234\ni: 60, loss: 0.71783, losses: 0.71783\ni: 61, loss: 0.715869, losses: 0.715869\ni: 62, loss: 0.715153, losses: 0.715153\ni: 63, loss: 0.71454, losses: 0.71454\ni: 64, loss: 0.713127, losses: 0.713127\ni: 65, loss: 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0.694612\ni: 90, loss: 0.694395, losses: 0.694395\ni: 91, loss: 0.694555, losses: 0.694555\ni: 92, loss: 0.689676, losses: 0.689676\ni: 93, loss: 0.692231, losses: 0.692231\ni: 94, loss: 0.689805, losses: 0.689805\ni: 95, loss: 0.69348, losses: 0.69348\ni: 96, loss: 0.688259, losses: 0.688259\ni: 97, loss: 0.690867, losses: 0.690867\ni: 98, loss: 0.688254, losses: 0.688254\ni: 99, loss: 0.686345, losses: 0.686345\ni: 100, loss: 0.684452, losses: 0.684452\ni: 101, loss: 0.689332, losses: 0.689332\ni: 102, loss: 0.69133, losses: 0.69133\ni: 103, loss: 0.685607, losses: 0.685607\ni: 104, loss: 0.688437, losses: 0.688437\ni: 105, loss: 0.685479, losses: 0.685479\ni: 106, loss: 0.684142, losses: 0.684142\ni: 107, loss: 0.682639, losses: 0.682639\ni: 108, loss: 0.68305, losses: 0.68305\ni: 109, loss: 0.68215, losses: 0.68215\ni: 110, loss: 0.682905, losses: 0.682905\ni: 111, loss: 0.68211, losses: 0.68211\ni: 112, loss: 0.682439, losses: 0.682439\ni: 113, loss: 0.680735, losses: 0.680735\ni: 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losses: 0.656857\ni: 162, loss: 0.66082, losses: 0.66082\ni: 163, loss: 0.664103, losses: 0.664103\ni: 164, loss: 0.65799, losses: 0.65799\ni: 165, loss: 0.658603, losses: 0.658603\ni: 166, loss: 0.661272, losses: 0.661272\ni: 167, loss: 0.660522, losses: 0.660522\ni: 168, loss: 0.656606, losses: 0.656606\ni: 169, loss: 0.65427, losses: 0.65427\ni: 170, loss: 0.66024, losses: 0.66024\ni: 171, loss: 0.653899, losses: 0.653899\ni: 172, loss: 0.659037, losses: 0.659037\ni: 173, loss: 0.657023, losses: 0.657023\ni: 174, loss: 0.659276, losses: 0.659276\ni: 175, loss: 0.661628, losses: 0.661628\ni: 176, loss: 0.6533, losses: 0.6533\ni: 177, loss: 0.657571, losses: 0.657571\ni: 178, loss: 0.658088, losses: 0.658088\ni: 179, loss: 0.657806, losses: 0.657806\ni: 180, loss: 0.655272, losses: 0.655272\ni: 181, loss: 0.6583, losses: 0.6583\ni: 182, loss: 0.652932, losses: 0.652932\ni: 183, loss: 0.654029, losses: 0.654029\ni: 184, loss: 0.65492, losses: 0.65492\ni: 185, loss: 0.657136, losses: 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0.727438, losses: 0.727438 i: 51, loss: 0.726456, losses: 0.726456 i: 52, loss: 0.724971, losses: 0.724971 i: 53, loss: 0.724089, losses: 0.724089 i: 54, loss: 0.71937, losses: 0.71937 i: 55, loss: 0.718491, losses: 0.718491 i: 56, loss: 0.719676, losses: 0.719676 i: 57, loss: 0.715794, losses: 0.715794 i: 58, loss: 0.716963, losses: 0.716963 i: 59, loss: 0.720234, losses: 0.720234 i: 60, loss: 0.71783, losses: 0.71783 i: 61, loss: 0.715869, losses: 0.715869 i: 62, loss: 0.715153, losses: 0.715153 i: 63, loss: 0.71454, losses: 0.71454 i: 64, loss: 0.713127, losses: 0.713127 i: 65, loss: 0.713188, losses: 0.713188 i: 66, loss: 0.710974, losses: 0.710974 i: 67, loss: 0.708219, losses: 0.708219 i: 68, loss: 0.71061, losses: 0.71061 i: 69, loss: 0.709459, losses: 0.709459 i: 70, loss: 0.705552, losses: 0.705552 i: 71, loss: 0.705854, losses: 0.705854 i: 72, loss: 0.702898, losses: 0.702898 i: 73, loss: 0.701932, losses: 0.701932 i: 74, loss: 0.701685, losses: 0.701685 i: 75, loss: 0.700699, losses: 0.700699 i: 76, loss: 0.699988, losses: 0.699988 i: 77, loss: 0.696655, losses: 0.696655 i: 78, loss: 0.69833, losses: 0.69833 i: 79, loss: 0.699066, losses: 0.699066 i: 80, loss: 0.697168, losses: 0.697168 i: 81, loss: 0.693519, losses: 0.693519 i: 82, loss: 0.695197, losses: 0.695197 i: 83, loss: 0.692557, losses: 0.692557 i: 84, loss: 0.694192, losses: 0.694192 i: 85, loss: 0.6936, losses: 0.6936 i: 86, loss: 0.691502, losses: 0.691502 i: 87, loss: 0.695177, losses: 0.695177 i: 88, loss: 0.692075, losses: 0.692075 i: 89, loss: 0.694612, losses: 0.694612 i: 90, loss: 0.694395, losses: 0.694395 i: 91, loss: 0.694555, losses: 0.694555 i: 92, loss: 0.689676, losses: 0.689676 i: 93, loss: 0.692231, losses: 0.692231 i: 94, loss: 0.689805, losses: 0.689805 i: 95, loss: 0.69348, losses: 0.69348 i: 96, loss: 0.688259, losses: 0.688259 i: 97, loss: 0.690867, losses: 0.690867 i: 98, loss: 0.688254, losses: 0.688254 i: 99, loss: 0.686345, losses: 0.686345 i: 100, loss: 0.684452, losses: 0.684452 i: 101, loss: 0.689332, losses: 0.689332 i: 102, loss: 0.69133, losses: 0.69133 i: 103, loss: 0.685607, losses: 0.685607 i: 104, loss: 0.688437, losses: 0.688437 i: 105, loss: 0.685479, losses: 0.685479 i: 106, loss: 0.684142, losses: 0.684142 i: 107, loss: 0.682639, losses: 0.682639 i: 108, loss: 0.68305, losses: 0.68305 i: 109, loss: 0.68215, losses: 0.68215 i: 110, loss: 0.682905, losses: 0.682905 i: 111, loss: 0.68211, losses: 0.68211 i: 112, loss: 0.682439, losses: 0.682439 i: 113, loss: 0.680735, losses: 0.680735 i: 114, loss: 0.686358, losses: 0.686358 i: 115, loss: 0.679807, losses: 0.679807 i: 116, loss: 0.679469, losses: 0.679469 i: 117, loss: 0.683962, losses: 0.683962 i: 118, loss: 0.683523, losses: 0.683523 i: 119, loss: 0.682129, losses: 0.682129 i: 120, loss: 0.680793, losses: 0.680793 i: 121, loss: 0.680844, losses: 0.680844 i: 122, loss: 0.682476, losses: 0.682476 i: 123, loss: 0.678429, losses: 0.678429 i: 124, loss: 0.676564, losses: 0.676564 i: 125, loss: 0.675845, losses: 0.675845 i: 126, loss: 0.679376, losses: 0.679376 i: 127, loss: 0.672602, losses: 0.672602 i: 128, loss: 0.679404, losses: 0.679404 i: 129, loss: 0.674201, losses: 0.674201 i: 130, loss: 0.672645, losses: 0.672645 i: 131, loss: 0.681864, losses: 0.681864 i: 132, loss: 0.672278, losses: 0.672278 i: 133, loss: 0.671494, losses: 0.671494 i: 134, loss: 0.671479, losses: 0.671479 i: 135, loss: 0.668789, losses: 0.668789 i: 136, loss: 0.675856, losses: 0.675856 i: 137, loss: 0.669419, losses: 0.669419 i: 138, loss: 0.672855, losses: 0.672855 i: 139, loss: 0.672095, losses: 0.672095 i: 140, loss: 0.672326, losses: 0.672326 i: 141, loss: 0.674513, losses: 0.674513 i: 142, loss: 0.675009, losses: 0.675009 i: 143, loss: 0.668834, losses: 0.668834 i: 144, loss: 0.668773, losses: 0.668773 i: 145, loss: 0.674761, losses: 0.674761 i: 146, loss: 0.667918, losses: 0.667918 i: 147, loss: 0.671104, losses: 0.671104 i: 148, loss: 0.668013, losses: 0.668013 i: 149, loss: 0.670422, losses: 0.670422 i: 150, loss: 0.670038, losses: 0.670038 i: 151, loss: 0.666894, losses: 0.666894 i: 152, loss: 0.667559, losses: 0.667559 i: 153, loss: 0.664111, losses: 0.664111 i: 154, loss: 0.669513, losses: 0.669513 i: 155, loss: 0.661864, losses: 0.661864 i: 156, loss: 0.668165, losses: 0.668165 i: 157, loss: 0.666635, losses: 0.666635 i: 158, loss: 0.666338, losses: 0.666338 i: 159, loss: 0.660868, losses: 0.660868 i: 160, loss: 0.662206, losses: 0.662206 i: 161, loss: 0.656857, losses: 0.656857 i: 162, loss: 0.66082, losses: 0.66082 i: 163, loss: 0.664103, losses: 0.664103 i: 164, loss: 0.65799, losses: 0.65799 i: 165, loss: 0.658603, losses: 0.658603 i: 166, loss: 0.661272, losses: 0.661272 i: 167, loss: 0.660522, losses: 0.660522 i: 168, loss: 0.656606, losses: 0.656606 i: 169, loss: 0.65427, losses: 0.65427 i: 170, loss: 0.66024, losses: 0.66024 i: 171, loss: 0.653899, losses: 0.653899 i: 172, loss: 0.659037, losses: 0.659037 i: 173, loss: 0.657023, losses: 0.657023 i: 174, loss: 0.659276, losses: 0.659276 i: 175, loss: 0.661628, losses: 0.661628 i: 176, loss: 0.6533, losses: 0.6533 i: 177, loss: 0.657571, losses: 0.657571 i: 178, loss: 0.658088, losses: 0.658088 i: 179, loss: 0.657806, losses: 0.657806 i: 180, loss: 0.655272, losses: 0.655272 i: 181, loss: 0.6583, losses: 0.6583 i: 182, loss: 0.652932, losses: 0.652932 i: 183, loss: 0.654029, losses: 0.654029 i: 184, loss: 0.65492, losses: 0.65492 i: 185, loss: 0.657136, losses: 0.657136 i: 186, loss: 0.653935, losses: 0.653935 i: 187, loss: 0.653103, losses: 0.653103 i: 188, loss: 0.654934, losses: 0.654934 i: 189, loss: 0.655756, losses: 0.655756 i: 190, loss: 0.654966, losses: 0.654966 i: 191, loss: 0.658213, losses: 0.658213 i: 192, loss: 0.657302, losses: 0.657302 i: 193, loss: 0.655021, losses: 0.655021 i: 194, loss: 0.651316, losses: 0.651316 i: 195, loss: 0.65219, losses: 0.65219 i: 196, loss: 0.647567, losses: 0.647567 i: 197, loss: 0.653645, losses: 0.653645 i: 198, loss: 0.656026, losses: 0.656026 i: 199, loss: 0.650838, losses: 0.650838 i: 200, loss: 0.650402, losses: 0.650402 i: 201, loss: 0.659006, losses: 0.659006 i: 202, loss: 0.650343, losses: 0.650343 i: 203, loss: 0.649252, losses: 0.649252 i: 204, loss: 0.647111, losses: 0.647111 i: 205, loss: 0.655295, losses: 0.655295 i: 206, loss: 0.64455, losses: 0.64455 i: 207, loss: 0.647088, losses: 0.647088 i: 208, loss: 0.647378, losses: 0.647378 i: 209, loss: 0.647292, losses: 0.647292 i: 210, loss: 0.650127, losses: 0.650127 i: 211, loss: 0.643476, losses: 0.643476 i: 212, loss: 0.649249, losses: 0.649249 i: 213, loss: 0.646371, losses: 0.646371 i: 214, loss: 0.652288, losses: 0.652288 i: 215, loss: 0.646758, losses: 0.646758 i: 216, loss: 0.642772, losses: 0.642772 i: 217, loss: 0.646667, losses: 0.646667 i: 218, loss: 0.649389, losses: 0.649389 i: 219, loss: 0.648608, losses: 0.648608 i: 220, loss: 0.649109, losses: 0.649109 i: 221, loss: 0.646546, losses: 0.646546 i: 222, loss: 0.644708, losses: 0.644708 i: 223, loss: 0.648179, losses: 0.648179 i: 224, loss: 0.646272, losses: 0.646272 i: 225, loss: 0.650259, losses: 0.650259 i: 226, loss: 0.647477, losses: 0.647477 i: 227, loss: 0.644128, losses: 0.644128 i: 228, loss: 0.640114, losses: 0.640114 i: 229, loss: 0.644697, losses: 0.644697 i: 230, loss: 0.642708, losses: 0.642708 i: 231, loss: 0.645013, losses: 0.645013 i: 232, loss: 0.644165, losses: 0.644165 i: 233, loss: 0.6468, losses: 0.6468 i: 234, loss: 0.64621, losses: 0.64621 i: 235, loss: 0.645893, losses: 0.645893 i: 236, loss: 0.646247, losses: 0.646247 i: 237, loss: 0.65151, losses: 0.65151 i: 238, loss: 0.651601, losses: 0.651601 i: 239, loss: 0.644597, losses: 0.644597 i: 240, loss: 0.638654, losses: 0.638654 i: 241, loss: 0.638166, losses: 0.638166 i: 242, loss: 0.644949, losses: 0.644949 i: 243, loss: 0.648845, losses: 0.648845 i: 244, loss: 0.644488, losses: 0.644488 i: 245, loss: 0.64208, losses: 0.64208 i: 246, loss: 0.64282, losses: 0.64282 i: 247, loss: 0.642056, losses: 0.642056 i: 248, loss: 0.642217, losses: 0.642217 i: 249, loss: 0.645452, losses: 0.645452 i: 249, loss: 0.645452, losses: 0.645452
Prediction
bfirsh/vqgan-clip:fc0e1715d1109ef9fd339a436986c19862d5df37537c3617be692f47f144f03aInput
- prompt
- the first day of the waters
- iterations
- 250
{ "prompt": "the first day of the waters", "iterations": 250 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run bfirsh/vqgan-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "bfirsh/vqgan-clip:fc0e1715d1109ef9fd339a436986c19862d5df37537c3617be692f47f144f03a", { input: { prompt: "the first day of the waters", iterations: 250 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run bfirsh/vqgan-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "bfirsh/vqgan-clip:fc0e1715d1109ef9fd339a436986c19862d5df37537c3617be692f47f144f03a", input={ "prompt": "the first day of the waters", "iterations": 250 } ) # The bfirsh/vqgan-clip model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/bfirsh/vqgan-clip/api#output-schema print(item)
To learn more, take a look at the guide on getting started with Python.
Run bfirsh/vqgan-clip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "bfirsh/vqgan-clip:fc0e1715d1109ef9fd339a436986c19862d5df37537c3617be692f47f144f03a", "input": { "prompt": "the first day of the waters", "iterations": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2021-09-22T00:51:09.785346Z", "created_at": "2021-09-22T00:46:20.280507Z", "data_removed": false, "error": null, "id": "benseqrws5ejfhdiol5japl7cm", "input": { "prompt": "the first day of the waters", "iterations": 250 }, "logs": "i: 0, loss: 0.909588, losses: 0.909588\ni: 10, loss: 0.847548, losses: 0.847548\ni: 20, loss: 0.818597, losses: 0.818597\ni: 30, loss: 0.808365, losses: 0.808365\ni: 40, loss: 0.801111, losses: 0.801111\ni: 50, loss: 0.791895, losses: 0.791895\ni: 60, loss: 0.786057, losses: 0.786057\ni: 70, loss: 0.774552, losses: 0.774552\ni: 80, loss: 0.770548, losses: 0.770548\ni: 90, loss: 0.763699, losses: 0.763699\ni: 100, loss: 0.759811, losses: 0.759811\ni: 110, loss: 0.752506, losses: 0.752506\ni: 120, loss: 0.749852, losses: 0.749852\ni: 130, loss: 0.749731, losses: 0.749731\ni: 140, loss: 0.749962, losses: 0.749962\ni: 150, loss: 0.747008, losses: 0.747008\ni: 160, loss: 0.742415, losses: 0.742415\ni: 170, loss: 0.744414, losses: 0.744414\ni: 180, loss: 0.738426, losses: 0.738426\ni: 190, loss: 0.73867, losses: 0.73867\ni: 200, loss: 0.737181, losses: 0.737181\ni: 210, loss: 0.736317, losses: 0.736317\ni: 220, loss: 0.734543, losses: 0.734543\ni: 230, loss: 0.729937, losses: 0.729937\ni: 240, loss: 0.729107, losses: 0.729107\ni: 249, loss: 0.733397, losses: 0.733397", "metrics": { "total_time": 289.504839 }, "output": [ { "file": "https://replicate.delivery/mgxm/a8c921ce-8a56-4e09-82c7-943c2f080d28/progress.png" } ], "started_at": "2021-12-02T02:47:37.730702Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/benseqrws5ejfhdiol5japl7cm", "cancel": "https://api.replicate.com/v1/predictions/benseqrws5ejfhdiol5japl7cm/cancel" }, "version": "fc0e1715d1109ef9fd339a436986c19862d5df37537c3617be692f47f144f03a" }
i: 0, loss: 0.909588, losses: 0.909588 i: 10, loss: 0.847548, losses: 0.847548 i: 20, loss: 0.818597, losses: 0.818597 i: 30, loss: 0.808365, losses: 0.808365 i: 40, loss: 0.801111, losses: 0.801111 i: 50, loss: 0.791895, losses: 0.791895 i: 60, loss: 0.786057, losses: 0.786057 i: 70, loss: 0.774552, losses: 0.774552 i: 80, loss: 0.770548, losses: 0.770548 i: 90, loss: 0.763699, losses: 0.763699 i: 100, loss: 0.759811, losses: 0.759811 i: 110, loss: 0.752506, losses: 0.752506 i: 120, loss: 0.749852, losses: 0.749852 i: 130, loss: 0.749731, losses: 0.749731 i: 140, loss: 0.749962, losses: 0.749962 i: 150, loss: 0.747008, losses: 0.747008 i: 160, loss: 0.742415, losses: 0.742415 i: 170, loss: 0.744414, losses: 0.744414 i: 180, loss: 0.738426, losses: 0.738426 i: 190, loss: 0.73867, losses: 0.73867 i: 200, loss: 0.737181, losses: 0.737181 i: 210, loss: 0.736317, losses: 0.736317 i: 220, loss: 0.734543, losses: 0.734543 i: 230, loss: 0.729937, losses: 0.729937 i: 240, loss: 0.729107, losses: 0.729107 i: 249, loss: 0.733397, losses: 0.733397
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