urieltac
/
polar-fleece
- Public
- 109 runs
-
H100
Prediction
urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608adIDb6cw0nf80nrm00chpfkrysdxp0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead
- lora_scale
- 0.69
- num_outputs
- 3
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead", "lora_scale": 0.69, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run urieltac/polar-fleece using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad", { input: { model: "dev", prompt: "Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead", lora_scale: 0.69, num_outputs: 3, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // 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 replicateImport the client:import replicateRun urieltac/polar-fleece using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad", input={ "model": "dev", "prompt": "Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead", "lora_scale": 0.69, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run urieltac/polar-fleece 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": "urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad", "input": { "model": "dev", "prompt": "Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead", "lora_scale": 0.69, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-02T18:04:06.462996Z", "created_at": "2024-09-02T18:03:25.573000Z", "data_removed": false, "error": null, "id": "b6cw0nf80nrm00chpfkrysdxp0", "input": { "model": "dev", "prompt": "Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead", "lora_scale": 0.69, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 41644\nPrompt: Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead\ntxt2img mode\nUsing dev model\nfree=9186647871488\nDownloading weights\n2024-09-02T18:03:28Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpdr9uq27h/weights url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar\n2024-09-02T18:03:30Z | INFO | [ Complete ] dest=/tmp/tmpdr9uq27h/weights size=\"344 MB\" total_elapsed=1.836s url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar\nDownloaded weights in 1.88s\nLoaded LoRAs in 14.91s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:20, 1.31it/s]\n 7%|▋ | 2/28 [00:01<00:17, 1.48it/s]\n 11%|█ | 3/28 [00:02<00:17, 1.39it/s]\n 14%|█▍ | 4/28 [00:02<00:17, 1.35it/s]\n 18%|█▊ | 5/28 [00:03<00:17, 1.34it/s]\n 21%|██▏ | 6/28 [00:04<00:16, 1.33it/s]\n 25%|██▌ | 7/28 [00:05<00:15, 1.32it/s]\n 29%|██▊ | 8/28 [00:05<00:15, 1.31it/s]\n 32%|███▏ | 9/28 [00:06<00:14, 1.31it/s]\n 36%|███▌ | 10/28 [00:07<00:13, 1.31it/s]\n 39%|███▉ | 11/28 [00:08<00:12, 1.31it/s]\n 43%|████▎ | 12/28 [00:09<00:12, 1.31it/s]\n 46%|████▋ | 13/28 [00:09<00:11, 1.30it/s]\n 50%|█████ | 14/28 [00:10<00:10, 1.30it/s]\n 54%|█████▎ | 15/28 [00:11<00:09, 1.30it/s]\n 57%|█████▋ | 16/28 [00:12<00:09, 1.30it/s]\n 61%|██████ | 17/28 [00:12<00:08, 1.30it/s]\n 64%|██████▍ | 18/28 [00:13<00:07, 1.30it/s]\n 68%|██████▊ | 19/28 [00:14<00:06, 1.30it/s]\n 71%|███████▏ | 20/28 [00:15<00:06, 1.30it/s]\n 75%|███████▌ | 21/28 [00:15<00:05, 1.30it/s]\n 79%|███████▊ | 22/28 [00:16<00:04, 1.30it/s]\n 82%|████████▏ | 23/28 [00:17<00:03, 1.30it/s]\n 86%|████████▌ | 24/28 [00:18<00:03, 1.30it/s]\n 89%|████████▉ | 25/28 [00:19<00:02, 1.30it/s]\n 93%|█████████▎| 26/28 [00:19<00:01, 1.30it/s]\n 96%|█████████▋| 27/28 [00:20<00:00, 1.30it/s]\n100%|██████████| 28/28 [00:21<00:00, 1.30it/s]\n100%|██████████| 28/28 [00:21<00:00, 1.31it/s]", "metrics": { "predict_time": 38.389152391, "total_time": 40.889996 }, "output": [ "https://replicate.delivery/yhqm/NkJfCDpcgX0XSSqKXNTZPPh7XeM3a4M9mbyzlfTh7mFsA2xmA/out-0.png", "https://replicate.delivery/yhqm/0mWQgswIFFKeWCNEwYWvFKhRKLdRAiV0p7c6Pn2oqLKLgdsJA/out-1.png", "https://replicate.delivery/yhqm/SCKf6KGhX2RZfUtXEdP4Y2qhwQk27w3NY5Kmsj91Ct5WA7YTA/out-2.png" ], "started_at": "2024-09-02T18:03:28.073843Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/b6cw0nf80nrm00chpfkrysdxp0", "cancel": "https://api.replicate.com/v1/predictions/b6cw0nf80nrm00chpfkrysdxp0/cancel" }, "version": "033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad" }Generated inUsing seed: 41644 Prompt: Front-facing photograph of an elegant white Italian man seated on an simple wood chair, with a plain blue background. The man is wearing a cream color POLARFLEECE jacket, and a light colored old money style trousers and brown shoes, sitting with his legs crossed in a relaxed manner. The man is looking straight ahead txt2img mode Using dev model free=9186647871488 Downloading weights 2024-09-02T18:03:28Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpdr9uq27h/weights url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar 2024-09-02T18:03:30Z | INFO | [ Complete ] dest=/tmp/tmpdr9uq27h/weights size="344 MB" total_elapsed=1.836s url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar Downloaded weights in 1.88s Loaded LoRAs in 14.91s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:20, 1.31it/s] 7%|▋ | 2/28 [00:01<00:17, 1.48it/s] 11%|█ | 3/28 [00:02<00:17, 1.39it/s] 14%|█▍ | 4/28 [00:02<00:17, 1.35it/s] 18%|█▊ | 5/28 [00:03<00:17, 1.34it/s] 21%|██▏ | 6/28 [00:04<00:16, 1.33it/s] 25%|██▌ | 7/28 [00:05<00:15, 1.32it/s] 29%|██▊ | 8/28 [00:05<00:15, 1.31it/s] 32%|███▏ | 9/28 [00:06<00:14, 1.31it/s] 36%|███▌ | 10/28 [00:07<00:13, 1.31it/s] 39%|███▉ | 11/28 [00:08<00:12, 1.31it/s] 43%|████▎ | 12/28 [00:09<00:12, 1.31it/s] 46%|████▋ | 13/28 [00:09<00:11, 1.30it/s] 50%|█████ | 14/28 [00:10<00:10, 1.30it/s] 54%|█████▎ | 15/28 [00:11<00:09, 1.30it/s] 57%|█████▋ | 16/28 [00:12<00:09, 1.30it/s] 61%|██████ | 17/28 [00:12<00:08, 1.30it/s] 64%|██████▍ | 18/28 [00:13<00:07, 1.30it/s] 68%|██████▊ | 19/28 [00:14<00:06, 1.30it/s] 71%|███████▏ | 20/28 [00:15<00:06, 1.30it/s] 75%|███████▌ | 21/28 [00:15<00:05, 1.30it/s] 79%|███████▊ | 22/28 [00:16<00:04, 1.30it/s] 82%|████████▏ | 23/28 [00:17<00:03, 1.30it/s] 86%|████████▌ | 24/28 [00:18<00:03, 1.30it/s] 89%|████████▉ | 25/28 [00:19<00:02, 1.30it/s] 93%|█████████▎| 26/28 [00:19<00:01, 1.30it/s] 96%|█████████▋| 27/28 [00:20<00:00, 1.30it/s] 100%|██████████| 28/28 [00:21<00:00, 1.30it/s] 100%|██████████| 28/28 [00:21<00:00, 1.31it/s]Prediction
urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608adIDzd9kkq7605rm00chnvyvc4tdycStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.
- lora_scale
- 0.5
- num_outputs
- 3
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.8
- num_inference_steps
- 32
{ "model": "dev", "prompt": "Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.", "lora_scale": 0.5, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 32 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run urieltac/polar-fleece using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad", { input: { model: "dev", prompt: "Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.", lora_scale: 0.5, num_outputs: 3, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.8, num_inference_steps: 32 } } ); // 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 replicateImport the client:import replicateRun urieltac/polar-fleece using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad", input={ "model": "dev", "prompt": "Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.", "lora_scale": 0.5, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 32 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run urieltac/polar-fleece 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": "urieltac/polar-fleece:033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad", "input": { "model": "dev", "prompt": "Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.", "lora_scale": 0.5, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 32 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-01T19:10:15.957075Z", "created_at": "2024-09-01T19:09:20.769000Z", "data_removed": false, "error": null, "id": "zd9kkq7605rm00chnvyvc4tdyc", "input": { "model": "dev", "prompt": "Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.", "lora_scale": 0.5, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 32 }, "logs": "Using seed: 24777\nPrompt: Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph.\ntxt2img mode\nUsing dev model\nfree=9730479144960\nDownloading weights\n2024-09-01T19:09:33Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpt2rugjy7/weights url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar\n2024-09-01T19:09:36Z | INFO | [ Complete ] dest=/tmp/tmpt2rugjy7/weights size=\"344 MB\" total_elapsed=3.099s url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar\nDownloaded weights in 3.14s\nLoaded LoRAs in 16.02s\n 0%| | 0/32 [00:00<?, ?it/s]\n 3%|▎ | 1/32 [00:00<00:23, 1.31it/s]\n 6%|▋ | 2/32 [00:01<00:20, 1.48it/s]\n 9%|▉ | 3/32 [00:02<00:20, 1.39it/s]\n 12%|█▎ | 4/32 [00:02<00:20, 1.35it/s]\n 16%|█▌ | 5/32 [00:03<00:20, 1.33it/s]\n 19%|█▉ | 6/32 [00:04<00:19, 1.32it/s]\n 22%|██▏ | 7/32 [00:05<00:19, 1.31it/s]\n 25%|██▌ | 8/32 [00:06<00:18, 1.31it/s]\n 28%|██▊ | 9/32 [00:06<00:17, 1.30it/s]\n 31%|███▏ | 10/32 [00:07<00:16, 1.30it/s]\n 34%|███▍ | 11/32 [00:08<00:16, 1.30it/s]\n 38%|███▊ | 12/32 [00:09<00:15, 1.30it/s]\n 41%|████ | 13/32 [00:09<00:14, 1.29it/s]\n 44%|████▍ | 14/32 [00:10<00:13, 1.30it/s]\n 47%|████▋ | 15/32 [00:11<00:13, 1.30it/s]\n 50%|█████ | 16/32 [00:12<00:12, 1.29it/s]\n 53%|█████▎ | 17/32 [00:12<00:11, 1.30it/s]\n 56%|█████▋ | 18/32 [00:13<00:10, 1.29it/s]\n 59%|█████▉ | 19/32 [00:14<00:10, 1.29it/s]\n 62%|██████▎ | 20/32 [00:15<00:09, 1.29it/s]\n 66%|██████▌ | 21/32 [00:16<00:08, 1.29it/s]\n 69%|██████▉ | 22/32 [00:16<00:07, 1.29it/s]\n 72%|███████▏ | 23/32 [00:17<00:06, 1.29it/s]\n 75%|███████▌ | 24/32 [00:18<00:06, 1.29it/s]\n 78%|███████▊ | 25/32 [00:19<00:05, 1.29it/s]\n 81%|████████▏ | 26/32 [00:19<00:04, 1.29it/s]\n 84%|████████▍ | 27/32 [00:20<00:03, 1.29it/s]\n 88%|████████▊ | 28/32 [00:21<00:03, 1.29it/s]\n 91%|█████████ | 29/32 [00:22<00:02, 1.29it/s]\n 94%|█████████▍| 30/32 [00:23<00:01, 1.29it/s]\n 97%|█████████▋| 31/32 [00:23<00:00, 1.29it/s]\n100%|██████████| 32/32 [00:24<00:00, 1.29it/s]\n100%|██████████| 32/32 [00:24<00:00, 1.30it/s]", "metrics": { "predict_time": 42.762961982, "total_time": 55.188075 }, "output": [ "https://replicate.delivery/yhqm/Efx2McAxfTpBbEy2SnMafdg4NMcp8C4T44ABhJrlHvfdhbiNB/out-0.png", "https://replicate.delivery/yhqm/Zetg8VY8LZVUSCfH9trKm707aRZZy53leZ9d1opjNmBvwNxmA/out-1.png", "https://replicate.delivery/yhqm/6GWzvYVgwC5LEZlxbPXzL14YzszGrlZvyePy0LEWk8vLcTsJA/out-2.png" ], "started_at": "2024-09-01T19:09:33.194113Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zd9kkq7605rm00chnvyvc4tdyc", "cancel": "https://api.replicate.com/v1/predictions/zd9kkq7605rm00chnvyvc4tdyc/cancel" }, "version": "033b9e73d03a4b391ef526ef04567c313fb482734723c199d6d197db7e4608ad" }Generated inUsing seed: 24777 Prompt: Front-facing photograph of an Italian man seated on a chair, with a plain blue background. The man is sitting with his legs crossed in a relaxed manner, the man dress POLARFLEECE. The chair is minimalist yet luxurious. The man is looking straight ahead to the camera. Professional, symmetrical photograph. txt2img mode Using dev model free=9730479144960 Downloading weights 2024-09-01T19:09:33Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpt2rugjy7/weights url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar 2024-09-01T19:09:36Z | INFO | [ Complete ] dest=/tmp/tmpt2rugjy7/weights size="344 MB" total_elapsed=3.099s url=https://replicate.delivery/yhqm/LdmfColbTd3HICgQ3xSc1DO45cJ7bHW0x13BmGlhcMULrBsJA/trained_model.tar Downloaded weights in 3.14s Loaded LoRAs in 16.02s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:23, 1.31it/s] 6%|▋ | 2/32 [00:01<00:20, 1.48it/s] 9%|▉ | 3/32 [00:02<00:20, 1.39it/s] 12%|█▎ | 4/32 [00:02<00:20, 1.35it/s] 16%|█▌ | 5/32 [00:03<00:20, 1.33it/s] 19%|█▉ | 6/32 [00:04<00:19, 1.32it/s] 22%|██▏ | 7/32 [00:05<00:19, 1.31it/s] 25%|██▌ | 8/32 [00:06<00:18, 1.31it/s] 28%|██▊ | 9/32 [00:06<00:17, 1.30it/s] 31%|███▏ | 10/32 [00:07<00:16, 1.30it/s] 34%|███▍ | 11/32 [00:08<00:16, 1.30it/s] 38%|███▊ | 12/32 [00:09<00:15, 1.30it/s] 41%|████ | 13/32 [00:09<00:14, 1.29it/s] 44%|████▍ | 14/32 [00:10<00:13, 1.30it/s] 47%|████▋ | 15/32 [00:11<00:13, 1.30it/s] 50%|█████ | 16/32 [00:12<00:12, 1.29it/s] 53%|█████▎ | 17/32 [00:12<00:11, 1.30it/s] 56%|█████▋ | 18/32 [00:13<00:10, 1.29it/s] 59%|█████▉ | 19/32 [00:14<00:10, 1.29it/s] 62%|██████▎ | 20/32 [00:15<00:09, 1.29it/s] 66%|██████▌ | 21/32 [00:16<00:08, 1.29it/s] 69%|██████▉ | 22/32 [00:16<00:07, 1.29it/s] 72%|███████▏ | 23/32 [00:17<00:06, 1.29it/s] 75%|███████▌ | 24/32 [00:18<00:06, 1.29it/s] 78%|███████▊ | 25/32 [00:19<00:05, 1.29it/s] 81%|████████▏ | 26/32 [00:19<00:04, 1.29it/s] 84%|████████▍ | 27/32 [00:20<00:03, 1.29it/s] 88%|████████▊ | 28/32 [00:21<00:03, 1.29it/s] 91%|█████████ | 29/32 [00:22<00:02, 1.29it/s] 94%|█████████▍| 30/32 [00:23<00:01, 1.29it/s] 97%|█████████▋| 31/32 [00:23<00:00, 1.29it/s] 100%|██████████| 32/32 [00:24<00:00, 1.29it/s] 100%|██████████| 32/32 [00:24<00:00, 1.30it/s]
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