jyoung105 / auraflow-v2
AuraFlow: Fully open-sourced flow-based text-to-image generation model
Prediction
jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823bID9dxfje1119rgj0ck25v96bcbf0StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- steps
- 50
- width
- 1024
- height
- 1024
- prompt
- A man with hoodie on, illustration
- num_images
- 1
- guidance_scale
- 3.5
{ "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 }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 jyoung105/auraflow-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b", { input: { steps: 50, width: 1024, height: 1024, prompt: "A man with hoodie on, illustration", num_images: 1, guidance_scale: 3.5 } } ); // 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 replicateImport the client:import replicateRun jyoung105/auraflow-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b", input={ "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jyoung105/auraflow-v2 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": "jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b", "input": { "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-09T15:09:43.654561Z", "created_at": "2024-11-09T15:06:14.666000Z", "data_removed": false, "error": null, "id": "9dxfje1119rgj0ck25v96bcbf0", "input": { "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 }, "logs": "DEVICE: cuda\nDTYPE: torch.float16\nUsing seed: 13500\nFinish setup in 0.0001323223114013672 secs.\n[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:51, 1.05s/it]\n 4%|▍ | 2/50 [00:01<00:30, 1.57it/s]\n 6%|▌ | 3/50 [00:02<00:38, 1.22it/s]\n 8%|▊ | 4/50 [00:03<00:41, 1.10it/s]\n 10%|█ | 5/50 [00:04<00:43, 1.05it/s]\n 12%|█▏ | 6/50 [00:05<00:43, 1.02it/s]\n 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.02s/it]\n 18%|█▊ | 9/50 [00:08<00:42, 1.03s/it]\n 20%|██ | 10/50 [00:09<00:41, 1.03s/it]\n 22%|██▏ | 11/50 [00:10<00:40, 1.04s/it]\n 24%|██▍ | 12/50 [00:11<00:39, 1.04s/it]\n 26%|██▌ | 13/50 [00:12<00:38, 1.04s/it]\n 28%|██▊ | 14/50 [00:13<00:37, 1.04s/it]\n 30%|███ | 15/50 [00:14<00:36, 1.05s/it]\n 32%|███▏ | 16/50 [00:16<00:35, 1.05s/it]\n 34%|███▍ | 17/50 [00:17<00:34, 1.05s/it]\n 36%|███▌ | 18/50 [00:18<00:33, 1.05s/it]\n 38%|███▊ | 19/50 [00:19<00:32, 1.05s/it]\n 40%|████ | 20/50 [00:20<00:31, 1.05s/it]\n 42%|████▏ | 21/50 [00:21<00:30, 1.05s/it]\n 44%|████▍ | 22/50 [00:22<00:29, 1.05s/it]\n 46%|████▌ | 23/50 [00:23<00:28, 1.05s/it]\n 48%|████▊ | 24/50 [00:24<00:27, 1.05s/it]\n 50%|█████ | 25/50 [00:25<00:26, 1.05s/it]\n 52%|█████▏ | 26/50 [00:26<00:25, 1.05s/it]\n 54%|█████▍ | 27/50 [00:27<00:24, 1.05s/it]\n 56%|█████▌ | 28/50 [00:28<00:23, 1.06s/it]\n 58%|█████▊ | 29/50 [00:29<00:22, 1.06s/it]\n 60%|██████ | 30/50 [00:30<00:21, 1.06s/it]\n 62%|██████▏ | 31/50 [00:31<00:20, 1.06s/it]\n 64%|██████▍ | 32/50 [00:32<00:19, 1.06s/it]\n 66%|██████▌ | 33/50 [00:33<00:18, 1.06s/it]\n 68%|██████▊ | 34/50 [00:35<00:16, 1.06s/it]\n 70%|███████ | 35/50 [00:36<00:15, 1.06s/it]\n 72%|███████▏ | 36/50 [00:37<00:14, 1.06s/it]\n 74%|███████▍ | 37/50 [00:38<00:13, 1.05s/it]\n 76%|███████▌ | 38/50 [00:39<00:12, 1.05s/it]\n 78%|███████▊ | 39/50 [00:40<00:11, 1.05s/it]\n 80%|████████ | 40/50 [00:41<00:10, 1.05s/it]\n 82%|████████▏ | 41/50 [00:42<00:09, 1.05s/it]\n 84%|████████▍ | 42/50 [00:43<00:08, 1.05s/it]\n 86%|████████▌ | 43/50 [00:44<00:07, 1.05s/it]\n 88%|████████▊ | 44/50 [00:45<00:06, 1.05s/it]\n 90%|█████████ | 45/50 [00:46<00:05, 1.05s/it]\n 92%|█████████▏| 46/50 [00:47<00:04, 1.05s/it]\n 94%|█████████▍| 47/50 [00:48<00:03, 1.05s/it]\n 96%|█████████▌| 48/50 [00:49<00:02, 1.05s/it]\n 98%|█████████▊| 49/50 [00:50<00:01, 1.05s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.05s/it]\n100%|██████████| 50/50 [00:51<00:00, 1.04s/it]\nFinish generation in 53.424176931381226 secs.", "metrics": { "predict_time": 55.119488237, "total_time": 208.988561 }, "output": [ "https://replicate.delivery/pbxt/6OC7iGFQeYUsSycve1aC9BeqGFlBAP70fe7sjUKfuLOjNt07E/out_0.png" ], "started_at": "2024-11-09T15:08:48.535073Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9dxfje1119rgj0ck25v96bcbf0", "cancel": "https://api.replicate.com/v1/predictions/9dxfje1119rgj0ck25v96bcbf0/cancel" }, "version": "5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b" }Generated inDEVICE: cuda DTYPE: torch.float16 Using seed: 13500 Finish setup in 0.0001323223114013672 secs. [Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:51, 1.05s/it] 4%|▍ | 2/50 [00:01<00:30, 1.57it/s] 6%|▌ | 3/50 [00:02<00:38, 1.22it/s] 8%|▊ | 4/50 [00:03<00:41, 1.10it/s] 10%|█ | 5/50 [00:04<00:43, 1.05it/s] 12%|█▏ | 6/50 [00:05<00:43, 1.02it/s] 14%|█▍ | 7/50 [00:06<00:43, 1.00s/it] 16%|█▌ | 8/50 [00:07<00:42, 1.02s/it] 18%|█▊ | 9/50 [00:08<00:42, 1.03s/it] 20%|██ | 10/50 [00:09<00:41, 1.03s/it] 22%|██▏ | 11/50 [00:10<00:40, 1.04s/it] 24%|██▍ | 12/50 [00:11<00:39, 1.04s/it] 26%|██▌ | 13/50 [00:12<00:38, 1.04s/it] 28%|██▊ | 14/50 [00:13<00:37, 1.04s/it] 30%|███ | 15/50 [00:14<00:36, 1.05s/it] 32%|███▏ | 16/50 [00:16<00:35, 1.05s/it] 34%|███▍ | 17/50 [00:17<00:34, 1.05s/it] 36%|███▌ | 18/50 [00:18<00:33, 1.05s/it] 38%|███▊ | 19/50 [00:19<00:32, 1.05s/it] 40%|████ | 20/50 [00:20<00:31, 1.05s/it] 42%|████▏ | 21/50 [00:21<00:30, 1.05s/it] 44%|████▍ | 22/50 [00:22<00:29, 1.05s/it] 46%|████▌ | 23/50 [00:23<00:28, 1.05s/it] 48%|████▊ | 24/50 [00:24<00:27, 1.05s/it] 50%|█████ | 25/50 [00:25<00:26, 1.05s/it] 52%|█████▏ | 26/50 [00:26<00:25, 1.05s/it] 54%|█████▍ | 27/50 [00:27<00:24, 1.05s/it] 56%|█████▌ | 28/50 [00:28<00:23, 1.06s/it] 58%|█████▊ | 29/50 [00:29<00:22, 1.06s/it] 60%|██████ | 30/50 [00:30<00:21, 1.06s/it] 62%|██████▏ | 31/50 [00:31<00:20, 1.06s/it] 64%|██████▍ | 32/50 [00:32<00:19, 1.06s/it] 66%|██████▌ | 33/50 [00:33<00:18, 1.06s/it] 68%|██████▊ | 34/50 [00:35<00:16, 1.06s/it] 70%|███████ | 35/50 [00:36<00:15, 1.06s/it] 72%|███████▏ | 36/50 [00:37<00:14, 1.06s/it] 74%|███████▍ | 37/50 [00:38<00:13, 1.05s/it] 76%|███████▌ | 38/50 [00:39<00:12, 1.05s/it] 78%|███████▊ | 39/50 [00:40<00:11, 1.05s/it] 80%|████████ | 40/50 [00:41<00:10, 1.05s/it] 82%|████████▏ | 41/50 [00:42<00:09, 1.05s/it] 84%|████████▍ | 42/50 [00:43<00:08, 1.05s/it] 86%|████████▌ | 43/50 [00:44<00:07, 1.05s/it] 88%|████████▊ | 44/50 [00:45<00:06, 1.05s/it] 90%|█████████ | 45/50 [00:46<00:05, 1.05s/it] 92%|█████████▏| 46/50 [00:47<00:04, 1.05s/it] 94%|█████████▍| 47/50 [00:48<00:03, 1.05s/it] 96%|█████████▌| 48/50 [00:49<00:02, 1.05s/it] 98%|█████████▊| 49/50 [00:50<00:01, 1.05s/it] 100%|██████████| 50/50 [00:51<00:00, 1.05s/it] 100%|██████████| 50/50 [00:51<00:00, 1.04s/it] Finish generation in 53.424176931381226 secs.Prediction
jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823bIDqfymx5sn15rgm0ck25y8vz8wamStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- steps
- 50
- width
- 1024
- height
- 1024
- prompt
- A man with hoodie on, illustration
- num_images
- 1
- guidance_scale
- 3.5
{ "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 }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 jyoung105/auraflow-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b", { input: { steps: 50, width: 1024, height: 1024, prompt: "A man with hoodie on, illustration", num_images: 1, guidance_scale: 3.5 } } ); // 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 replicateImport the client:import replicateRun jyoung105/auraflow-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b", input={ "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run jyoung105/auraflow-v2 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": "jyoung105/auraflow-v2:5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b", "input": { "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-11-09T15:16:40.930344Z", "created_at": "2024-11-09T15:12:53.001000Z", "data_removed": false, "error": null, "id": "qfymx5sn15rgm0ck25y8vz8wam", "input": { "steps": 50, "width": 1024, "height": 1024, "prompt": "A man with hoodie on, illustration", "num_images": 1, "guidance_scale": 3.5 }, "logs": "DEVICE: cuda\nDTYPE: torch.float16\nUsing seed: 36823\nFinish setup in 0.00019073486328125 secs.\n[Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:55, 1.14s/it]\n 4%|▍ | 2/50 [00:01<00:32, 1.48it/s]\n 6%|▌ | 3/50 [00:02<00:39, 1.18it/s]\n 8%|▊ | 4/50 [00:03<00:42, 1.07it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.02it/s]\n 12%|█▏ | 6/50 [00:05<00:44, 1.01s/it]\n 14%|█▍ | 7/50 [00:06<00:44, 1.03s/it]\n 16%|█▌ | 8/50 [00:07<00:43, 1.04s/it]\n 18%|█▊ | 9/50 [00:08<00:42, 1.05s/it]\n 20%|██ | 10/50 [00:09<00:41, 1.05s/it]\n 22%|██▏ | 11/50 [00:11<00:41, 1.05s/it]\n 24%|██▍ | 12/50 [00:12<00:40, 1.05s/it]\n 26%|██▌ | 13/50 [00:13<00:39, 1.06s/it]\n 28%|██▊ | 14/50 [00:14<00:38, 1.06s/it]\n 30%|███ | 15/50 [00:15<00:37, 1.06s/it]\n 32%|███▏ | 16/50 [00:16<00:36, 1.06s/it]\n 34%|███▍ | 17/50 [00:17<00:34, 1.06s/it]\n 36%|███▌ | 18/50 [00:18<00:33, 1.06s/it]\n 38%|███▊ | 19/50 [00:19<00:32, 1.06s/it]\n 40%|████ | 20/50 [00:20<00:31, 1.06s/it]\n 42%|████▏ | 21/50 [00:21<00:30, 1.06s/it]\n 44%|████▍ | 22/50 [00:22<00:29, 1.06s/it]\n 46%|████▌ | 23/50 [00:23<00:28, 1.06s/it]\n 48%|████▊ | 24/50 [00:24<00:27, 1.06s/it]\n 50%|█████ | 25/50 [00:25<00:26, 1.07s/it]\n 52%|█████▏ | 26/50 [00:26<00:25, 1.07s/it]\n 54%|█████▍ | 27/50 [00:28<00:24, 1.07s/it]\n 56%|█████▌ | 28/50 [00:29<00:23, 1.07s/it]\n 58%|█████▊ | 29/50 [00:30<00:22, 1.07s/it]\n 60%|██████ | 30/50 [00:31<00:21, 1.07s/it]\n 62%|██████▏ | 31/50 [00:32<00:20, 1.07s/it]\n 64%|██████▍ | 32/50 [00:33<00:19, 1.07s/it]\n 66%|██████▌ | 33/50 [00:34<00:18, 1.07s/it]\n 68%|██████▊ | 34/50 [00:35<00:17, 1.07s/it]\n 70%|███████ | 35/50 [00:36<00:16, 1.07s/it]\n 72%|███████▏ | 36/50 [00:37<00:14, 1.07s/it]\n 74%|███████▍ | 37/50 [00:38<00:13, 1.07s/it]\n 76%|███████▌ | 38/50 [00:39<00:12, 1.07s/it]\n 78%|███████▊ | 39/50 [00:40<00:11, 1.07s/it]\n 80%|████████ | 40/50 [00:41<00:10, 1.07s/it]\n 82%|████████▏ | 41/50 [00:43<00:09, 1.07s/it]\n 84%|████████▍ | 42/50 [00:44<00:08, 1.07s/it]\n 86%|████████▌ | 43/50 [00:45<00:07, 1.07s/it]\n 88%|████████▊ | 44/50 [00:46<00:06, 1.07s/it]\n 90%|█████████ | 45/50 [00:47<00:05, 1.07s/it]\n 92%|█████████▏| 46/50 [00:48<00:04, 1.07s/it]\n 94%|█████████▍| 47/50 [00:49<00:03, 1.07s/it]\n 96%|█████████▌| 48/50 [00:50<00:02, 1.07s/it]\n 98%|█████████▊| 49/50 [00:51<00:01, 1.07s/it]\n100%|██████████| 50/50 [00:52<00:00, 1.07s/it]\n100%|██████████| 50/50 [00:52<00:00, 1.05s/it]\nFinish generation in 54.402321577072144 secs.", "metrics": { "predict_time": 56.191952108, "total_time": 227.929344 }, "output": [ "https://replicate.delivery/pbxt/Z1GvZFIxCbYlOVNc09kHAASRu4QV0xePpwQNj78ONwprdp3JA/out_0.png" ], "started_at": "2024-11-09T15:15:44.738392Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/qfymx5sn15rgm0ck25y8vz8wam", "cancel": "https://api.replicate.com/v1/predictions/qfymx5sn15rgm0ck25y8vz8wam/cancel" }, "version": "5cdd6e6fb13d2b9ac5dc0a984f76abab9bbde97ad4b2b30e49fe80aff2de823b" }Generated inDEVICE: cuda DTYPE: torch.float16 Using seed: 36823 Finish setup in 0.00019073486328125 secs. [Debug] Prompt: A man with hoodie on, illustration, best quality, high detail, sharp focus 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<00:55, 1.14s/it] 4%|▍ | 2/50 [00:01<00:32, 1.48it/s] 6%|▌ | 3/50 [00:02<00:39, 1.18it/s] 8%|▊ | 4/50 [00:03<00:42, 1.07it/s] 10%|█ | 5/50 [00:04<00:44, 1.02it/s] 12%|█▏ | 6/50 [00:05<00:44, 1.01s/it] 14%|█▍ | 7/50 [00:06<00:44, 1.03s/it] 16%|█▌ | 8/50 [00:07<00:43, 1.04s/it] 18%|█▊ | 9/50 [00:08<00:42, 1.05s/it] 20%|██ | 10/50 [00:09<00:41, 1.05s/it] 22%|██▏ | 11/50 [00:11<00:41, 1.05s/it] 24%|██▍ | 12/50 [00:12<00:40, 1.05s/it] 26%|██▌ | 13/50 [00:13<00:39, 1.06s/it] 28%|██▊ | 14/50 [00:14<00:38, 1.06s/it] 30%|███ | 15/50 [00:15<00:37, 1.06s/it] 32%|███▏ | 16/50 [00:16<00:36, 1.06s/it] 34%|███▍ | 17/50 [00:17<00:34, 1.06s/it] 36%|███▌ | 18/50 [00:18<00:33, 1.06s/it] 38%|███▊ | 19/50 [00:19<00:32, 1.06s/it] 40%|████ | 20/50 [00:20<00:31, 1.06s/it] 42%|████▏ | 21/50 [00:21<00:30, 1.06s/it] 44%|████▍ | 22/50 [00:22<00:29, 1.06s/it] 46%|████▌ | 23/50 [00:23<00:28, 1.06s/it] 48%|████▊ | 24/50 [00:24<00:27, 1.06s/it] 50%|█████ | 25/50 [00:25<00:26, 1.07s/it] 52%|█████▏ | 26/50 [00:26<00:25, 1.07s/it] 54%|█████▍ | 27/50 [00:28<00:24, 1.07s/it] 56%|█████▌ | 28/50 [00:29<00:23, 1.07s/it] 58%|█████▊ | 29/50 [00:30<00:22, 1.07s/it] 60%|██████ | 30/50 [00:31<00:21, 1.07s/it] 62%|██████▏ | 31/50 [00:32<00:20, 1.07s/it] 64%|██████▍ | 32/50 [00:33<00:19, 1.07s/it] 66%|██████▌ | 33/50 [00:34<00:18, 1.07s/it] 68%|██████▊ | 34/50 [00:35<00:17, 1.07s/it] 70%|███████ | 35/50 [00:36<00:16, 1.07s/it] 72%|███████▏ | 36/50 [00:37<00:14, 1.07s/it] 74%|███████▍ | 37/50 [00:38<00:13, 1.07s/it] 76%|███████▌ | 38/50 [00:39<00:12, 1.07s/it] 78%|███████▊ | 39/50 [00:40<00:11, 1.07s/it] 80%|████████ | 40/50 [00:41<00:10, 1.07s/it] 82%|████████▏ | 41/50 [00:43<00:09, 1.07s/it] 84%|████████▍ | 42/50 [00:44<00:08, 1.07s/it] 86%|████████▌ | 43/50 [00:45<00:07, 1.07s/it] 88%|████████▊ | 44/50 [00:46<00:06, 1.07s/it] 90%|█████████ | 45/50 [00:47<00:05, 1.07s/it] 92%|█████████▏| 46/50 [00:48<00:04, 1.07s/it] 94%|█████████▍| 47/50 [00:49<00:03, 1.07s/it] 96%|█████████▌| 48/50 [00:50<00:02, 1.07s/it] 98%|█████████▊| 49/50 [00:51<00:01, 1.07s/it] 100%|██████████| 50/50 [00:52<00:00, 1.07s/it] 100%|██████████| 50/50 [00:52<00:00, 1.05s/it] Finish generation in 54.402321577072144 secs.
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