jack000 / glid-3-xl
A 1.4B parameter text2im model from CompVis, finetuned on CLIP text embeds and curated data.
Prediction
jack000/glid-3-xl:d17813f363eeea2279c1b74ab1c347895fd4f0aa31a7c426988a982c851123eeInput
- seed
- 24
- steps
- "250"
- width
- "256"
- height
- "256"
- prompt
- a cyberpunk girl with a scifi neuralink device on her head
- batch_size
- "1"
- guidance_scale
- "5"
{ "seed": 24, "steps": "250", "width": "256", "height": "256", "prompt": "a cyberpunk girl with a scifi neuralink device on her head", "batch_size": "1", "guidance_scale": "5" }
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 jack000/glid-3-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jack000/glid-3-xl:d17813f363eeea2279c1b74ab1c347895fd4f0aa31a7c426988a982c851123ee", { input: { seed: 24, steps: "250", width: "256", height: "256", prompt: "a cyberpunk girl with a scifi neuralink device on her head", batch_size: "1", guidance_scale: "5" } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
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 jack000/glid-3-xl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jack000/glid-3-xl:d17813f363eeea2279c1b74ab1c347895fd4f0aa31a7c426988a982c851123ee", input={ "seed": 24, "steps": "250", "width": "256", "height": "256", "prompt": "a cyberpunk girl with a scifi neuralink device on her head", "batch_size": "1", "guidance_scale": "5" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run jack000/glid-3-xl 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": "jack000/glid-3-xl:d17813f363eeea2279c1b74ab1c347895fd4f0aa31a7c426988a982c851123ee", "input": { "seed": 24, "steps": "250", "width": "256", "height": "256", "prompt": "a cyberpunk girl with a scifi neuralink device on her head", "batch_size": "1", "guidance_scale": "5" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-05-06T10:03:03.903071Z", "created_at": "2022-05-06T10:01:12.655834Z", "data_removed": false, "error": null, "id": "7w6fxaqgw5aofddcxkrwzqu2lm", "input": { "seed": 24, "steps": "250", "width": "256", "height": "256", "prompt": "a cyberpunk girl with a scifi neuralink device on her head", "batch_size": "1", "guidance_scale": "5" }, "logs": "Encoding text with BERT\nEncoding text with CLIP\nPacking CLIP and BERT embeddings into kwargs\nRunning diffusion...\n\n0it [00:00, ?it/s]\n\n 0%| | 0/250 [00:00<?, ?it/s]\u001b[A\n1it [00:00, 1.16it/s]\n\n 0%| | 1/250 [00:00<03:34, 1.16it/s]\u001b[A\n2it [00:01, 1.20it/s]\n\n 1%| | 2/250 [00:01<03:26, 1.20it/s]\u001b[A\n3it [00:02, 1.22it/s]\n\n 1%| | 3/250 [00:02<03:22, 1.22it/s]\u001b[A\n4it [00:02, 1.61it/s]\n\n 2%|▏ | 4/250 [00:02<02:32, 1.61it/s]\u001b[A\n5it [00:03, 1.96it/s]\n\n 2%|▏ | 5/250 [00:03<02:04, 1.97it/s]\u001b[A\n6it [00:03, 2.27it/s]\n\n 2%|▏ | 6/250 [00:03<01:47, 2.27it/s]\u001b[A\n7it [00:03, 2.51it/s]\n\n 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242/250 [01:18<00:02, 3.24it/s]\u001b[A\n243it [01:19, 3.24it/s]\n\n 97%|█████████▋| 243/250 [01:19<00:02, 3.24it/s]\u001b[A\n244it [01:19, 3.25it/s]\n\n 98%|█████████▊| 244/250 [01:19<00:01, 3.25it/s]\u001b[A\n245it [01:19, 3.25it/s]\n\n 98%|█████████▊| 245/250 [01:19<00:01, 3.25it/s]\u001b[A\n246it [01:20, 3.25it/s]\n\n 98%|█████████▊| 246/250 [01:20<00:01, 3.25it/s]\u001b[A\n247it [01:20, 3.25it/s]\n\n 99%|█████████▉| 247/250 [01:20<00:00, 3.25it/s]\u001b[A\n248it [01:20, 3.78it/s]\n\n 99%|█████████▉| 248/250 [01:20<00:00, 3.77it/s]\u001b[A\n249it [01:20, 3.58it/s]\n\n100%|█████████▉| 249/250 [01:20<00:00, 3.58it/s]\u001b[A\n250it [01:21, 3.47it/s]\n\n100%|██████████| 250/250 [01:21<00:00, 3.47it/s]\u001b[A\n100%|██████████| 250/250 [01:21<00:00, 3.08it/s]\n\n250it [01:21, 3.08it/s]\nDone", "metrics": { "predict_time": 111.048486, "total_time": 111.247237 }, "output": [ "https://replicate.delivery/mgxm/2d3de8e0-bfc7-4a5f-8457-ec4bb18d0d84/current.png", 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Generated inEncoding text with BERT Encoding text with CLIP Packing CLIP and BERT embeddings into kwargs Running diffusion... 0it [00:00, ?it/s] 0%| | 0/250 [00:00<?, ?it/s] 1it [00:00, 1.16it/s] 0%| | 1/250 [00:00<03:34, 1.16it/s] 2it [00:01, 1.20it/s] 1%| | 2/250 [00:01<03:26, 1.20it/s] 3it [00:02, 1.22it/s] 1%| | 3/250 [00:02<03:22, 1.22it/s] 4it [00:02, 1.61it/s] 2%|▏ | 4/250 [00:02<02:32, 1.61it/s] 5it [00:03, 1.96it/s] 2%|▏ | 5/250 [00:03<02:04, 1.97it/s] 6it [00:03, 2.27it/s] 2%|▏ | 6/250 [00:03<01:47, 2.27it/s] 7it [00:03, 2.51it/s] 3%|▎ | 7/250 [00:03<01:36, 2.51it/s] 8it [00:04, 2.69it/s] 3%|▎ | 8/250 [00:04<01:29, 2.69it/s] 9it [00:04, 2.82it/s] 4%|▎ | 9/250 [00:04<01:25, 2.82it/s] 10it [00:04, 2.92it/s] 4%|▍ | 10/250 [00:04<01:22, 2.92it/s] 11it [00:04, 2.99it/s] 4%|▍ | 11/250 [00:04<01:19, 2.99it/s] 12it [00:05, 3.05it/s] 5%|▍ | 12/250 [00:05<01:17, 3.05it/s] 13it [00:05, 3.08it/s] 5%|▌ | 13/250 [00:05<01:16, 3.08it/s] 14it [00:05, 3.10it/s] 6%|▌ | 14/250 [00:05<01:16, 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| 93/250 [00:31<00:51, 3.04it/s] 94it [00:31, 3.03it/s] 38%|███▊ | 94/250 [00:31<00:51, 3.03it/s] 95it [00:32, 3.03it/s] 38%|███▊ | 95/250 [00:32<00:51, 3.03it/s] 96it [00:32, 3.03it/s] 38%|███▊ | 96/250 [00:32<00:50, 3.03it/s] 97it [00:32, 3.03it/s] 39%|███▉ | 97/250 [00:32<00:50, 3.03it/s] 98it [00:33, 3.02it/s] 39%|███▉ | 98/250 [00:33<00:50, 3.02it/s] 99it [00:33, 3.03it/s] 40%|███▉ | 99/250 [00:33<00:49, 3.03it/s] 100it [00:33, 3.04it/s] 40%|████ | 100/250 [00:33<00:49, 3.04it/s] 101it [00:34, 3.03it/s] 40%|████ | 101/250 [00:34<00:49, 3.03it/s] 102it [00:34, 3.02it/s] 41%|████ | 102/250 [00:34<00:48, 3.02it/s] 103it [00:34, 3.03it/s] 41%|████ | 103/250 [00:34<00:48, 3.03it/s] 104it [00:35, 3.03it/s] 42%|████▏ | 104/250 [00:35<00:48, 3.03it/s] 105it [00:35, 3.02it/s] 42%|████▏ | 105/250 [00:35<00:47, 3.02it/s] 106it [00:35, 3.03it/s] 42%|████▏ | 106/250 [00:35<00:47, 3.03it/s] 107it [00:36, 3.04it/s] 43%|████▎ | 107/250 [00:36<00:46, 3.04it/s] 108it [00:36, 3.04it/s] 43%|████▎ | 108/250 [00:36<00:46, 3.04it/s] 109it [00:36, 3.03it/s] 44%|████▎ | 109/250 [00:36<00:46, 3.03it/s] 110it [00:37, 3.04it/s] 44%|████▍ | 110/250 [00:37<00:46, 3.04it/s] 111it [00:37, 3.03it/s] 44%|████▍ | 111/250 [00:37<00:45, 3.03it/s] 112it [00:37, 3.04it/s] 45%|████▍ | 112/250 [00:37<00:45, 3.04it/s] 113it [00:38, 3.04it/s] 45%|████▌ | 113/250 [00:38<00:45, 3.04it/s] 114it [00:38, 3.05it/s] 46%|████▌ | 114/250 [00:38<00:44, 3.05it/s] 115it [00:38, 3.06it/s] 46%|████▌ | 115/250 [00:38<00:44, 3.06it/s] 116it [00:39, 3.07it/s] 46%|████▋ | 116/250 [00:39<00:43, 3.07it/s] 117it [00:39, 3.07it/s] 47%|████▋ | 117/250 [00:39<00:43, 3.07it/s] 118it [00:39, 3.07it/s] 47%|████▋ | 118/250 [00:39<00:42, 3.07it/s] 119it [00:40, 3.08it/s] 48%|████▊ | 119/250 [00:40<00:42, 3.08it/s] 120it [00:40, 3.09it/s] 48%|████▊ | 120/250 [00:40<00:42, 3.09it/s] 121it [00:40, 3.09it/s] 48%|████▊ | 121/250 [00:40<00:41, 3.09it/s] 122it [00:41, 3.09it/s] 49%|████▉ | 122/250 [00:41<00:41, 3.09it/s] 123it [00:41, 3.08it/s] 49%|████▉ | 123/250 [00:41<00:41, 3.08it/s] 124it [00:41, 3.09it/s] 50%|████▉ | 124/250 [00:41<00:40, 3.09it/s] 125it [00:42, 3.09it/s] 50%|█████ | 125/250 [00:42<00:40, 3.09it/s] 126it [00:42, 3.10it/s] 50%|█████ | 126/250 [00:42<00:40, 3.10it/s] 127it [00:42, 3.09it/s] 51%|█████ | 127/250 [00:42<00:39, 3.09it/s] 128it [00:43, 3.09it/s] 51%|█████ | 128/250 [00:43<00:39, 3.09it/s] 129it [00:43, 3.09it/s] 52%|█████▏ | 129/250 [00:43<00:39, 3.09it/s] 130it [00:43, 3.09it/s] 52%|█████▏ | 130/250 [00:43<00:38, 3.09it/s] 131it [00:44, 3.09it/s] 52%|█████▏ | 131/250 [00:44<00:38, 3.09it/s] 132it [00:44, 3.09it/s] 53%|█████▎ | 132/250 [00:44<00:38, 3.09it/s] 133it [00:44, 3.08it/s] 53%|█████▎ | 133/250 [00:44<00:37, 3.08it/s] 134it [00:45, 3.08it/s] 54%|█████▎ | 134/250 [00:45<00:37, 3.08it/s] 135it [00:45, 3.09it/s] 54%|█████▍ | 135/250 [00:45<00:37, 3.09it/s] 136it [00:45, 3.10it/s] 54%|█████▍ | 136/250 [00:45<00:36, 3.10it/s] 137it [00:45, 3.10it/s] 55%|█████▍ | 137/250 [00:45<00:36, 3.10it/s] 138it [00:46, 3.10it/s] 55%|█████▌ | 138/250 [00:46<00:36, 3.10it/s] 139it [00:46, 3.10it/s] 56%|█████▌ | 139/250 [00:46<00:35, 3.10it/s] 140it [00:46, 3.10it/s] 56%|█████▌ | 140/250 [00:46<00:35, 3.10it/s] 141it [00:47, 3.10it/s] 56%|█████▋ | 141/250 [00:47<00:35, 3.10it/s] 142it [00:47, 3.12it/s] 57%|█████▋ | 142/250 [00:47<00:34, 3.12it/s] 143it [00:47, 3.12it/s] 57%|█████▋ | 143/250 [00:47<00:34, 3.12it/s] 144it [00:48, 3.11it/s] 58%|█████▊ | 144/250 [00:48<00:34, 3.11it/s] 145it [00:48, 3.11it/s] 58%|█████▊ | 145/250 [00:48<00:33, 3.11it/s] 146it [00:48, 3.12it/s] 58%|█████▊ | 146/250 [00:48<00:33, 3.12it/s] 147it [00:49, 3.13it/s] 59%|█████▉ | 147/250 [00:49<00:32, 3.13it/s] 148it [00:49, 3.13it/s] 59%|█████▉ | 148/250 [00:49<00:32, 3.13it/s] 149it [00:49, 3.13it/s] 60%|█████▉ | 149/250 [00:49<00:32, 3.13it/s] 150it [00:50, 3.13it/s] 60%|██████ | 150/250 [00:50<00:31, 3.13it/s] 151it [00:50, 3.14it/s] 60%|██████ | 151/250 [00:50<00:31, 3.14it/s] 152it [00:50, 3.14it/s] 61%|██████ | 152/250 [00:50<00:31, 3.14it/s] 153it [00:51, 3.14it/s] 61%|██████ | 153/250 [00:51<00:30, 3.14it/s] 154it [00:51, 3.15it/s] 62%|██████▏ | 154/250 [00:51<00:30, 3.15it/s] 155it [00:51, 3.15it/s] 62%|██████▏ | 155/250 [00:51<00:30, 3.15it/s] 156it [00:52, 3.15it/s] 62%|██████▏ | 156/250 [00:52<00:29, 3.15it/s] 157it [00:52, 3.15it/s] 63%|██████▎ | 157/250 [00:52<00:29, 3.15it/s] 158it [00:52, 3.16it/s] 63%|██████▎ | 158/250 [00:52<00:29, 3.16it/s] 159it [00:52, 3.16it/s] 64%|██████▎ | 159/250 [00:52<00:28, 3.16it/s] 160it [00:53, 3.15it/s] 64%|██████▍ | 160/250 [00:53<00:28, 3.15it/s] 161it [00:53, 3.15it/s] 64%|██████▍ | 161/250 [00:53<00:28, 3.15it/s] 162it [00:53, 3.15it/s] 65%|██████▍ | 162/250 [00:53<00:27, 3.15it/s] 163it [00:54, 3.16it/s] 65%|██████▌ | 163/250 [00:54<00:27, 3.16it/s] 164it [00:54, 3.15it/s] 66%|██████▌ | 164/250 [00:54<00:27, 3.15it/s] 165it [00:54, 3.16it/s] 66%|██████▌ | 165/250 [00:54<00:26, 3.16it/s] 166it [00:55, 3.17it/s] 66%|██████▋ | 166/250 [00:55<00:26, 3.17it/s] 167it [00:55, 3.17it/s] 67%|██████▋ | 167/250 [00:55<00:26, 3.17it/s] 168it [00:55, 3.17it/s] 67%|██████▋ | 168/250 [00:55<00:25, 3.17it/s] 169it [00:56, 3.18it/s] 68%|██████▊ | 169/250 [00:56<00:25, 3.18it/s] 170it [00:56, 3.18it/s] 68%|██████▊ | 170/250 [00:56<00:25, 3.18it/s] 171it [00:56, 3.18it/s] 68%|██████▊ | 171/250 [00:56<00:24, 3.18it/s] 172it [00:57, 3.16it/s] 69%|██████▉ | 172/250 [00:57<00:24, 3.16it/s] 173it [00:57, 3.16it/s] 69%|██████▉ | 173/250 [00:57<00:24, 3.17it/s] 174it [00:57, 3.17it/s] 70%|██████▉ | 174/250 [00:57<00:23, 3.17it/s] 175it [00:58, 3.18it/s] 70%|███████ | 175/250 [00:58<00:23, 3.18it/s] 176it [00:58, 3.17it/s] 70%|███████ | 176/250 [00:58<00:23, 3.17it/s] 177it [00:58, 3.17it/s] 71%|███████ | 177/250 [00:58<00:23, 3.17it/s] 178it [00:58, 3.17it/s] 71%|███████ | 178/250 [00:58<00:22, 3.17it/s] 179it [00:59, 3.18it/s] 72%|███████▏ | 179/250 [00:59<00:22, 3.18it/s] 180it [00:59, 3.18it/s] 72%|███████▏ | 180/250 [00:59<00:22, 3.18it/s] 181it [00:59, 3.19it/s] 72%|███████▏ | 181/250 [00:59<00:21, 3.19it/s] 182it [01:00, 3.19it/s] 73%|███████▎ | 182/250 [01:00<00:21, 3.19it/s] 183it [01:00, 3.18it/s] 73%|███████▎ | 183/250 [01:00<00:21, 3.18it/s] 184it [01:00, 3.19it/s] 74%|███████▎ | 184/250 [01:00<00:20, 3.19it/s] 185it [01:01, 3.19it/s] 74%|███████▍ | 185/250 [01:01<00:20, 3.19it/s] 186it [01:01, 3.18it/s] 74%|███████▍ | 186/250 [01:01<00:20, 3.18it/s] 187it [01:01, 3.19it/s] 75%|███████▍ | 187/250 [01:01<00:19, 3.19it/s] 188it [01:02, 3.19it/s] 75%|███████▌ | 188/250 [01:02<00:19, 3.19it/s] 189it [01:02, 3.19it/s] 76%|███████▌ | 189/250 [01:02<00:19, 3.19it/s] 190it [01:02, 3.19it/s] 76%|███████▌ | 190/250 [01:02<00:18, 3.19it/s] 191it [01:03, 3.20it/s] 76%|███████▋ | 191/250 [01:03<00:18, 3.20it/s] 192it [01:03, 3.20it/s] 77%|███████▋ | 192/250 [01:03<00:18, 3.20it/s] 193it [01:03, 3.20it/s] 77%|███████▋ | 193/250 [01:03<00:17, 3.20it/s] 194it [01:03, 3.20it/s] 78%|███████▊ | 194/250 [01:03<00:17, 3.20it/s] 195it [01:04, 3.21it/s] 78%|███████▊ | 195/250 [01:04<00:17, 3.21it/s] 196it [01:04, 3.21it/s] 78%|███████▊ | 196/250 [01:04<00:16, 3.21it/s] 197it [01:04, 3.21it/s] 79%|███████▉ | 197/250 [01:04<00:16, 3.21it/s] 198it [01:05, 3.22it/s] 79%|███████▉ | 198/250 [01:05<00:16, 3.22it/s] 199it [01:05, 3.21it/s] 80%|███████▉ | 199/250 [01:05<00:15, 3.21it/s] 200it [01:05, 3.22it/s] 80%|████████ | 200/250 [01:05<00:15, 3.22it/s] 201it [01:06, 3.22it/s] 80%|████████ | 201/250 [01:06<00:15, 3.22it/s] 202it [01:06, 3.22it/s] 81%|████████ | 202/250 [01:06<00:14, 3.22it/s] 203it [01:06, 3.22it/s] 81%|████████ | 203/250 [01:06<00:14, 3.22it/s] 204it [01:07, 3.22it/s] 82%|████████▏ | 204/250 [01:07<00:14, 3.22it/s] 205it [01:07, 3.22it/s] 82%|████████▏ | 205/250 [01:07<00:13, 3.22it/s] 206it [01:07, 3.22it/s] 82%|████████▏ | 206/250 [01:07<00:13, 3.22it/s] 207it [01:08, 3.22it/s] 83%|████████▎ | 207/250 [01:08<00:13, 3.22it/s] 208it [01:08, 3.21it/s] 83%|████████▎ | 208/250 [01:08<00:13, 3.21it/s] 209it [01:08, 3.22it/s] 84%|████████▎ | 209/250 [01:08<00:12, 3.22it/s] 210it [01:08, 3.22it/s] 84%|████████▍ | 210/250 [01:08<00:12, 3.22it/s] 211it [01:09, 3.22it/s] 84%|████████▍ | 211/250 [01:09<00:12, 3.22it/s] 212it [01:09, 3.21it/s] 85%|████████▍ | 212/250 [01:09<00:11, 3.21it/s] 213it [01:09, 3.22it/s] 85%|████████▌ | 213/250 [01:09<00:11, 3.22it/s] 214it [01:10, 3.23it/s] 86%|████████▌ | 214/250 [01:10<00:11, 3.23it/s] 215it [01:10, 3.23it/s] 86%|████████▌ | 215/250 [01:10<00:10, 3.23it/s] 216it [01:10, 3.24it/s] 86%|████████▋ | 216/250 [01:10<00:10, 3.24it/s] 217it [01:11, 3.24it/s] 87%|████████▋ | 217/250 [01:11<00:10, 3.24it/s] 218it [01:11, 3.23it/s] 87%|████████▋ | 218/250 [01:11<00:09, 3.23it/s] 219it [01:11, 3.23it/s] 88%|████████▊ | 219/250 [01:11<00:09, 3.23it/s] 220it [01:12, 3.24it/s] 88%|████████▊ | 220/250 [01:12<00:09, 3.24it/s] 221it [01:12, 3.24it/s] 88%|████████▊ | 221/250 [01:12<00:08, 3.24it/s] 222it [01:12, 3.24it/s] 89%|████████▉ | 222/250 [01:12<00:08, 3.24it/s] 223it [01:12, 3.24it/s] 89%|████████▉ | 223/250 [01:12<00:08, 3.24it/s] 224it [01:13, 3.24it/s] 90%|████████▉ | 224/250 [01:13<00:08, 3.24it/s] 225it [01:13, 3.24it/s] 90%|█████████ | 225/250 [01:13<00:07, 3.24it/s] 226it [01:13, 3.24it/s] 90%|█████████ | 226/250 [01:13<00:07, 3.24it/s] 227it [01:14, 3.24it/s] 91%|█████████ | 227/250 [01:14<00:07, 3.24it/s] 228it [01:14, 3.24it/s] 91%|█████████ | 228/250 [01:14<00:06, 3.24it/s] 229it [01:14, 3.24it/s] 92%|█████████▏| 229/250 [01:14<00:06, 3.24it/s] 230it [01:15, 3.25it/s] 92%|█████████▏| 230/250 [01:15<00:06, 3.25it/s] 231it [01:15, 3.25it/s] 92%|█████████▏| 231/250 [01:15<00:05, 3.25it/s] 232it [01:15, 3.24it/s] 93%|█████████▎| 232/250 [01:15<00:05, 3.24it/s] 233it [01:16, 3.24it/s] 93%|█████████▎| 233/250 [01:16<00:05, 3.24it/s] 234it [01:16, 3.24it/s] 94%|█████████▎| 234/250 [01:16<00:04, 3.24it/s] 235it [01:16, 3.25it/s] 94%|█████████▍| 235/250 [01:16<00:04, 3.25it/s] 236it [01:16, 3.25it/s] 94%|█████████▍| 236/250 [01:16<00:04, 3.25it/s] 237it [01:17, 3.25it/s] 95%|█████████▍| 237/250 [01:17<00:04, 3.25it/s] 238it [01:17, 3.24it/s] 95%|█████████▌| 238/250 [01:17<00:03, 3.24it/s] 239it [01:17, 3.24it/s] 96%|█████████▌| 239/250 [01:17<00:03, 3.24it/s] 240it [01:18, 3.24it/s] 96%|█████████▌| 240/250 [01:18<00:03, 3.24it/s] 241it [01:18, 3.24it/s] 96%|█████████▋| 241/250 [01:18<00:02, 3.24it/s] 242it [01:18, 3.24it/s] 97%|█████████▋| 242/250 [01:18<00:02, 3.24it/s] 243it [01:19, 3.24it/s] 97%|█████████▋| 243/250 [01:19<00:02, 3.24it/s] 244it [01:19, 3.25it/s] 98%|█████████▊| 244/250 [01:19<00:01, 3.25it/s] 245it [01:19, 3.25it/s] 98%|█████████▊| 245/250 [01:19<00:01, 3.25it/s] 246it [01:20, 3.25it/s] 98%|█████████▊| 246/250 [01:20<00:01, 3.25it/s] 247it [01:20, 3.25it/s] 99%|█████████▉| 247/250 [01:20<00:00, 3.25it/s] 248it [01:20, 3.78it/s] 99%|█████████▉| 248/250 [01:20<00:00, 3.77it/s] 249it [01:20, 3.58it/s] 100%|█████████▉| 249/250 [01:20<00:00, 3.58it/s] 250it [01:21, 3.47it/s] 100%|██████████| 250/250 [01:21<00:00, 3.47it/s] 100%|██████████| 250/250 [01:21<00:00, 3.08it/s] 250it [01:21, 3.08it/s] Done
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