tstramer
/
cyberpunk-anime-diffusion
- Public
- 80.9K runs
-
A100 (80GB)
Prediction
tstramer/cyberpunk-anime-diffusion:c748e440IDmbn5mxpxingunhmcjhjjq2knuiStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 21231
- width
- 512
- height
- 512
- prompt
- a beautiful perfect face girl in dgs illustration style, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece, 8k, sharp high quality anime
- scheduler
- K-LMS
- num_outputs
- 1
- guidance_scale
- 7.5
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "seed": 21231, "width": 512, "height": 512, "prompt": "a beautiful perfect face girl in dgs illustration style, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece, 8k, sharp high quality anime", "scheduler": "K-LMS", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tstramer/cyberpunk-anime-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tstramer/cyberpunk-anime-diffusion:c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e", { input: { seed: 21231, width: 512, height: 512, prompt: "a beautiful perfect face girl in dgs illustration style, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece, 8k, sharp high quality anime", scheduler: "K-LMS", num_outputs: 1, guidance_scale: 7.5, prompt_strength: 0.8, num_inference_steps: 50 } } ); 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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run tstramer/cyberpunk-anime-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tstramer/cyberpunk-anime-diffusion:c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e", input={ "seed": 21231, "width": 512, "height": 512, "prompt": "a beautiful perfect face girl in dgs illustration style, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece, 8k, sharp high quality anime", "scheduler": "K-LMS", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run tstramer/cyberpunk-anime-diffusion 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": "c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e", "input": { "seed": 21231, "width": 512, "height": 512, "prompt": "a beautiful perfect face girl in dgs illustration style, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece, 8k, sharp high quality anime", "scheduler": "K-LMS", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-11-08T01:35:03.359522Z", "created_at": "2022-11-08T01:34:59.315604Z", "data_removed": false, "error": null, "id": "mbn5mxpxingunhmcjhjjq2knui", "input": { "seed": 21231, "width": 512, "height": 512, "prompt": "a beautiful perfect face girl in dgs illustration style, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece, 8k, sharp high quality anime", "scheduler": "K-LMS", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 21231\n\n 0%| | 0/50 [00:00<?, ?it/s]\n 4%|▍ | 2/50 [00:00<00:03, 12.46it/s]\n 8%|▊ | 4/50 [00:00<00:03, 13.29it/s]\n 12%|█▏ | 6/50 [00:00<00:03, 13.42it/s]\n 16%|█▌ | 8/50 [00:00<00:03, 13.66it/s]\n 20%|██ | 10/50 [00:00<00:02, 13.50it/s]\n 24%|██▍ | 12/50 [00:00<00:02, 13.65it/s]\n 28%|██▊ | 14/50 [00:01<00:02, 13.65it/s]\n 32%|███▏ | 16/50 [00:01<00:02, 13.74it/s]\n 36%|███▌ | 18/50 [00:01<00:02, 13.84it/s]\n 40%|████ | 20/50 [00:01<00:02, 13.92it/s]\n 44%|████▍ | 22/50 [00:01<00:02, 13.97it/s]\n 48%|████▊ | 24/50 [00:01<00:01, 14.00it/s]\n 52%|█████▏ | 26/50 [00:01<00:01, 14.03it/s]\n 56%|█████▌ | 28/50 [00:02<00:01, 14.05it/s]\n 60%|██████ | 30/50 [00:02<00:01, 14.05it/s]\n 64%|██████▍ | 32/50 [00:02<00:01, 14.04it/s]\n 68%|██████▊ | 34/50 [00:02<00:01, 14.00it/s]\n 72%|███████▏ | 36/50 [00:02<00:01, 13.99it/s]\n 76%|███████▌ | 38/50 [00:02<00:00, 13.83it/s]\n 80%|████████ | 40/50 [00:02<00:00, 13.83it/s]\n 84%|████████▍ | 42/50 [00:03<00:00, 13.86it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 13.92it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 13.94it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 13.97it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.01it/s]\n100%|██████████| 50/50 [00:03<00:00, 13.86it/s]", "metrics": { "predict_time": 4.004948, "total_time": 4.043918 }, "output": [ "https://replicate.delivery/pbxt/3x8jHeKN2YQCOqkh31u0YdcaTOeMeyCpkwhj4SXJfiAfIyufD/out-0.png" ], "started_at": "2022-11-08T01:34:59.354574Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mbn5mxpxingunhmcjhjjq2knui", "cancel": "https://api.replicate.com/v1/predictions/mbn5mxpxingunhmcjhjjq2knui/cancel" }, "version": "8d996c894fbe4090ea243ba2aebbaabe900000c8bd351cf71c431664f135ec05" }
Generated inUsing seed: 21231 0%| | 0/50 [00:00<?, ?it/s] 4%|▍ | 2/50 [00:00<00:03, 12.46it/s] 8%|▊ | 4/50 [00:00<00:03, 13.29it/s] 12%|█▏ | 6/50 [00:00<00:03, 13.42it/s] 16%|█▌ | 8/50 [00:00<00:03, 13.66it/s] 20%|██ | 10/50 [00:00<00:02, 13.50it/s] 24%|██▍ | 12/50 [00:00<00:02, 13.65it/s] 28%|██▊ | 14/50 [00:01<00:02, 13.65it/s] 32%|███▏ | 16/50 [00:01<00:02, 13.74it/s] 36%|███▌ | 18/50 [00:01<00:02, 13.84it/s] 40%|████ | 20/50 [00:01<00:02, 13.92it/s] 44%|████▍ | 22/50 [00:01<00:02, 13.97it/s] 48%|████▊ | 24/50 [00:01<00:01, 14.00it/s] 52%|█████▏ | 26/50 [00:01<00:01, 14.03it/s] 56%|█████▌ | 28/50 [00:02<00:01, 14.05it/s] 60%|██████ | 30/50 [00:02<00:01, 14.05it/s] 64%|██████▍ | 32/50 [00:02<00:01, 14.04it/s] 68%|██████▊ | 34/50 [00:02<00:01, 14.00it/s] 72%|███████▏ | 36/50 [00:02<00:01, 13.99it/s] 76%|███████▌ | 38/50 [00:02<00:00, 13.83it/s] 80%|████████ | 40/50 [00:02<00:00, 13.83it/s] 84%|████████▍ | 42/50 [00:03<00:00, 13.86it/s] 88%|████████▊ | 44/50 [00:03<00:00, 13.92it/s] 92%|█████████▏| 46/50 [00:03<00:00, 13.94it/s] 96%|█████████▌| 48/50 [00:03<00:00, 13.97it/s] 100%|██████████| 50/50 [00:03<00:00, 14.01it/s] 100%|██████████| 50/50 [00:03<00:00, 13.86it/s]
Prediction
tstramer/cyberpunk-anime-diffusion:c748e440IDeatbdf2mzrb6foy7gj6aoz3d6yStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- width
- 512
- height
- 512
- prompt
- a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting
- scheduler
- DDIM
- num_outputs
- 1
- guidance_scale
- "8.46"
- prompt_strength
- 0.8
- num_inference_steps
- "149"
{ "width": 512, "height": 512, "prompt": "a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": "8.46", "prompt_strength": 0.8, "num_inference_steps": "149" }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tstramer/cyberpunk-anime-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tstramer/cyberpunk-anime-diffusion:c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e", { input: { width: 512, height: 512, prompt: "a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting", scheduler: "DDIM", num_outputs: 1, guidance_scale: "8.46", prompt_strength: 0.8, num_inference_steps: "149" } } ); 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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run tstramer/cyberpunk-anime-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tstramer/cyberpunk-anime-diffusion:c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e", input={ "width": 512, "height": 512, "prompt": "a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": "8.46", "prompt_strength": 0.8, "num_inference_steps": "149" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run tstramer/cyberpunk-anime-diffusion 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": "c748e4408604eb0af43136d4a8bba9fa2c4c0bbae5180fce603d14e65f5a998e", "input": { "width": 512, "height": 512, "prompt": "a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": "8.46", "prompt_strength": 0.8, "num_inference_steps": "149" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-11-08T01:52:25.776468Z", "created_at": "2022-11-08T01:52:15.327928Z", "data_removed": false, "error": null, "id": "eatbdf2mzrb6foy7gj6aoz3d6y", "input": { "width": 512, "height": 512, "prompt": "a photo of muscular beard soldier male in dgs illustration style, strong chest, 8k, photorealistic, award winning, studio lighting", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": "8.46", "prompt_strength": 0.8, "num_inference_steps": "149" }, "logs": "Using seed: 32485\n\n 0%| | 0/149 [00:00<?, ?it/s]\n 1%|▏ | 2/149 [00:00<00:11, 12.55it/s]\n 3%|▎ | 4/149 [00:00<00:10, 13.95it/s]\n 4%|▍ | 6/149 [00:00<00:09, 14.31it/s]\n 5%|▌ | 8/149 [00:00<00:09, 14.61it/s]\n 7%|▋ | 10/149 [00:00<00:09, 14.71it/s]\n 8%|▊ | 12/149 [00:00<00:09, 14.78it/s]\n 9%|▉ | 14/149 [00:00<00:09, 14.76it/s]\n 11%|█ | 16/149 [00:01<00:08, 14.80it/s]\n 12%|█▏ | 18/149 [00:01<00:09, 14.46it/s]\n 13%|█▎ | 20/149 [00:01<00:08, 14.59it/s]\n 15%|█▍ | 22/149 [00:01<00:08, 14.68it/s]\n 16%|█▌ | 24/149 [00:01<00:08, 14.86it/s]\n 17%|█▋ | 26/149 [00:01<00:08, 14.91it/s]\n 19%|█▉ | 28/149 [00:01<00:08, 14.83it/s]\n 20%|██ | 30/149 [00:02<00:08, 14.81it/s]\n 21%|██▏ | 32/149 [00:02<00:07, 14.82it/s]\n 23%|██▎ | 34/149 [00:02<00:07, 14.85it/s]\n 24%|██▍ | 36/149 [00:02<00:07, 14.81it/s]\n 26%|██▌ | 38/149 [00:02<00:07, 14.89it/s]\n 27%|██▋ | 40/149 [00:02<00:07, 14.97it/s]\n 28%|██▊ | 42/149 [00:02<00:07, 14.94it/s]\n 30%|██▉ | 44/149 [00:02<00:07, 14.89it/s]\n 31%|███ | 46/149 [00:03<00:06, 14.87it/s]\n 32%|███▏ | 48/149 [00:03<00:06, 14.87it/s]\n 34%|███▎ | 50/149 [00:03<00:06, 14.80it/s]\n 35%|███▍ | 52/149 [00:03<00:06, 14.85it/s]\n 36%|███▌ | 54/149 [00:03<00:06, 14.91it/s]\n 38%|███▊ | 56/149 [00:03<00:06, 14.91it/s]\n 39%|███▉ | 58/149 [00:03<00:06, 14.84it/s]\n 40%|████ | 60/149 [00:04<00:05, 14.89it/s]\n 42%|████▏ | 62/149 [00:04<00:05, 14.95it/s]\n 43%|████▎ | 64/149 [00:04<00:05, 14.99it/s]\n 44%|████▍ | 66/149 [00:04<00:05, 15.05it/s]\n 46%|████▌ | 68/149 [00:04<00:05, 15.10it/s]\n 47%|████▋ | 70/149 [00:04<00:05, 15.12it/s]\n 48%|████▊ | 72/149 [00:04<00:05, 15.13it/s]\n 50%|████▉ | 74/149 [00:04<00:04, 15.06it/s]\n 51%|█████ | 76/149 [00:05<00:04, 15.07it/s]\n 52%|█████▏ | 78/149 [00:05<00:04, 15.07it/s]\n 54%|█████▎ | 80/149 [00:05<00:04, 15.08it/s]\n 55%|█████▌ | 82/149 [00:05<00:04, 14.96it/s]\n 56%|█████▋ | 84/149 [00:05<00:04, 14.91it/s]\n 58%|█████▊ | 86/149 [00:05<00:04, 14.92it/s]\n 59%|█████▉ | 88/149 [00:05<00:04, 14.94it/s]\n 60%|██████ | 90/149 [00:06<00:03, 14.91it/s]\n 62%|██████▏ | 92/149 [00:06<00:03, 14.92it/s]\n 63%|██████▎ | 94/149 [00:06<00:03, 14.94it/s]\n 64%|██████▍ | 96/149 [00:06<00:03, 14.92it/s]\n 66%|██████▌ | 98/149 [00:06<00:03, 14.94it/s]\n 67%|██████▋ | 100/149 [00:06<00:03, 14.97it/s]\n 68%|██████▊ | 102/149 [00:06<00:03, 14.97it/s]\n 70%|██████▉ | 104/149 [00:06<00:03, 14.97it/s]\n 71%|███████ | 106/149 [00:07<00:02, 14.84it/s]\n 72%|███████▏ | 108/149 [00:07<00:02, 14.86it/s]\n 74%|███████▍ | 110/149 [00:07<00:02, 14.87it/s]\n 75%|███████▌ | 112/149 [00:07<00:02, 14.83it/s]\n 77%|███████▋ | 114/149 [00:07<00:02, 14.88it/s]\n 78%|███████▊ | 116/149 [00:07<00:02, 14.91it/s]\n 79%|███████▉ | 118/149 [00:07<00:02, 14.95it/s]\n 81%|████████ | 120/149 [00:08<00:01, 14.94it/s]\n 82%|████████▏ | 122/149 [00:08<00:01, 14.92it/s]\n 83%|████████▎ | 124/149 [00:08<00:01, 14.95it/s]\n 85%|████████▍ | 126/149 [00:08<00:01, 14.95it/s]\n 86%|████████▌ | 128/149 [00:08<00:01, 14.98it/s]\n 87%|████████▋ | 130/149 [00:08<00:01, 15.01it/s]\n 89%|████████▊ | 132/149 [00:08<00:01, 15.03it/s]\n 90%|████████▉ | 134/149 [00:09<00:00, 15.08it/s]\n 91%|█████████▏| 136/149 [00:09<00:00, 15.08it/s]\n 93%|█████████▎| 138/149 [00:09<00:00, 15.14it/s]\n 94%|█████████▍| 140/149 [00:09<00:00, 15.16it/s]\n 95%|█████████▌| 142/149 [00:09<00:00, 15.18it/s]\n 97%|█████████▋| 144/149 [00:09<00:00, 15.19it/s]\n 98%|█████████▊| 146/149 [00:09<00:00, 15.13it/s]\n 99%|█████████▉| 148/149 [00:09<00:00, 14.66it/s]\n100%|██████████| 149/149 [00:10<00:00, 14.89it/s]", "metrics": { "predict_time": 10.417518, "total_time": 10.44854 }, "output": [ "https://replicate.delivery/pbxt/ZGkgLxqebMQ0Tq1tkH3qbtgnue5whEW9emIqgJDafmanFa3fB/out-0.png" ], "started_at": "2022-11-08T01:52:15.358950Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/eatbdf2mzrb6foy7gj6aoz3d6y", "cancel": "https://api.replicate.com/v1/predictions/eatbdf2mzrb6foy7gj6aoz3d6y/cancel" }, "version": "8d996c894fbe4090ea243ba2aebbaabe900000c8bd351cf71c431664f135ec05" }
Generated inUsing seed: 32485 0%| | 0/149 [00:00<?, ?it/s] 1%|▏ | 2/149 [00:00<00:11, 12.55it/s] 3%|▎ | 4/149 [00:00<00:10, 13.95it/s] 4%|▍ | 6/149 [00:00<00:09, 14.31it/s] 5%|▌ | 8/149 [00:00<00:09, 14.61it/s] 7%|▋ | 10/149 [00:00<00:09, 14.71it/s] 8%|▊ | 12/149 [00:00<00:09, 14.78it/s] 9%|▉ | 14/149 [00:00<00:09, 14.76it/s] 11%|█ | 16/149 [00:01<00:08, 14.80it/s] 12%|█▏ | 18/149 [00:01<00:09, 14.46it/s] 13%|█▎ | 20/149 [00:01<00:08, 14.59it/s] 15%|█▍ | 22/149 [00:01<00:08, 14.68it/s] 16%|█▌ | 24/149 [00:01<00:08, 14.86it/s] 17%|█▋ | 26/149 [00:01<00:08, 14.91it/s] 19%|█▉ | 28/149 [00:01<00:08, 14.83it/s] 20%|██ | 30/149 [00:02<00:08, 14.81it/s] 21%|██▏ | 32/149 [00:02<00:07, 14.82it/s] 23%|██▎ | 34/149 [00:02<00:07, 14.85it/s] 24%|██▍ | 36/149 [00:02<00:07, 14.81it/s] 26%|██▌ | 38/149 [00:02<00:07, 14.89it/s] 27%|██▋ | 40/149 [00:02<00:07, 14.97it/s] 28%|██▊ | 42/149 [00:02<00:07, 14.94it/s] 30%|██▉ | 44/149 [00:02<00:07, 14.89it/s] 31%|███ | 46/149 [00:03<00:06, 14.87it/s] 32%|███▏ | 48/149 [00:03<00:06, 14.87it/s] 34%|███▎ | 50/149 [00:03<00:06, 14.80it/s] 35%|███▍ | 52/149 [00:03<00:06, 14.85it/s] 36%|███▌ | 54/149 [00:03<00:06, 14.91it/s] 38%|███▊ | 56/149 [00:03<00:06, 14.91it/s] 39%|███▉ | 58/149 [00:03<00:06, 14.84it/s] 40%|████ | 60/149 [00:04<00:05, 14.89it/s] 42%|████▏ | 62/149 [00:04<00:05, 14.95it/s] 43%|████▎ | 64/149 [00:04<00:05, 14.99it/s] 44%|████▍ | 66/149 [00:04<00:05, 15.05it/s] 46%|████▌ | 68/149 [00:04<00:05, 15.10it/s] 47%|████▋ | 70/149 [00:04<00:05, 15.12it/s] 48%|████▊ | 72/149 [00:04<00:05, 15.13it/s] 50%|████▉ | 74/149 [00:04<00:04, 15.06it/s] 51%|█████ | 76/149 [00:05<00:04, 15.07it/s] 52%|█████▏ | 78/149 [00:05<00:04, 15.07it/s] 54%|█████▎ | 80/149 [00:05<00:04, 15.08it/s] 55%|█████▌ | 82/149 [00:05<00:04, 14.96it/s] 56%|█████▋ | 84/149 [00:05<00:04, 14.91it/s] 58%|█████▊ | 86/149 [00:05<00:04, 14.92it/s] 59%|█████▉ | 88/149 [00:05<00:04, 14.94it/s] 60%|██████ | 90/149 [00:06<00:03, 14.91it/s] 62%|██████▏ | 92/149 [00:06<00:03, 14.92it/s] 63%|██████▎ | 94/149 [00:06<00:03, 14.94it/s] 64%|██████▍ | 96/149 [00:06<00:03, 14.92it/s] 66%|██████▌ | 98/149 [00:06<00:03, 14.94it/s] 67%|██████▋ | 100/149 [00:06<00:03, 14.97it/s] 68%|██████▊ | 102/149 [00:06<00:03, 14.97it/s] 70%|██████▉ | 104/149 [00:06<00:03, 14.97it/s] 71%|███████ | 106/149 [00:07<00:02, 14.84it/s] 72%|███████▏ | 108/149 [00:07<00:02, 14.86it/s] 74%|███████▍ | 110/149 [00:07<00:02, 14.87it/s] 75%|███████▌ | 112/149 [00:07<00:02, 14.83it/s] 77%|███████▋ | 114/149 [00:07<00:02, 14.88it/s] 78%|███████▊ | 116/149 [00:07<00:02, 14.91it/s] 79%|███████▉ | 118/149 [00:07<00:02, 14.95it/s] 81%|████████ | 120/149 [00:08<00:01, 14.94it/s] 82%|████████▏ | 122/149 [00:08<00:01, 14.92it/s] 83%|████████▎ | 124/149 [00:08<00:01, 14.95it/s] 85%|████████▍ | 126/149 [00:08<00:01, 14.95it/s] 86%|████████▌ | 128/149 [00:08<00:01, 14.98it/s] 87%|████████▋ | 130/149 [00:08<00:01, 15.01it/s] 89%|████████▊ | 132/149 [00:08<00:01, 15.03it/s] 90%|████████▉ | 134/149 [00:09<00:00, 15.08it/s] 91%|█████████▏| 136/149 [00:09<00:00, 15.08it/s] 93%|█████████▎| 138/149 [00:09<00:00, 15.14it/s] 94%|█████████▍| 140/149 [00:09<00:00, 15.16it/s] 95%|█████████▌| 142/149 [00:09<00:00, 15.18it/s] 97%|█████████▋| 144/149 [00:09<00:00, 15.19it/s] 98%|█████████▊| 146/149 [00:09<00:00, 15.13it/s] 99%|█████████▉| 148/149 [00:09<00:00, 14.66it/s] 100%|██████████| 149/149 [00:10<00:00, 14.89it/s]
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