Prediction
luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543ID5evv9nw0psrm80cqx1j9a45460StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- luismedellin in busan
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 2
- output_quality
- 73
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 45
{ "model": "dev", "prompt": "luismedellin in busan", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run luisjd122/luismedellin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543", { input: { model: "dev", prompt: "luismedellin in busan", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 2, output_quality: 73, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 45 } } ); // 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 luisjd122/luismedellin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543", input={ "model": "dev", "prompt": "luismedellin in busan", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run luisjd122/luismedellin 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": "luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543", "input": { "model": "dev", "prompt": "luismedellin in busan", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-07-08T04:56:53.718042Z", "created_at": "2025-07-08T04:56:30.134000Z", "data_removed": false, "error": null, "id": "5evv9nw0psrm80cqx1j9a45460", "input": { "model": "dev", "prompt": "luismedellin in busan", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 }, "logs": "Loaded LoRAs in 0.50s\nUsing seed: 44498\nPrompt: luismedellin in busan\n[!] txt2img mode\n 0%| | 0/45 [00:00<?, ?it/s]\n 2%|▏ | 1/45 [00:00<00:22, 2.00it/s]\n 4%|▍ | 2/45 [00:00<00:19, 2.26it/s]\n 7%|▋ | 3/45 [00:01<00:19, 2.13it/s]\n 9%|▉ | 4/45 [00:01<00:19, 2.07it/s]\n 11%|█ | 5/45 [00:02<00:19, 2.04it/s]\n 13%|█▎ | 6/45 [00:02<00:19, 2.02it/s]\n 16%|█▌ | 7/45 [00:03<00:18, 2.00it/s]\n 18%|█▊ | 8/45 [00:03<00:18, 2.00it/s]\n 20%|██ | 9/45 [00:04<00:18, 1.99it/s]\n 22%|██▏ | 10/45 [00:04<00:17, 1.99it/s]\n 24%|██▍ | 11/45 [00:05<00:17, 1.98it/s]\n 27%|██▋ | 12/45 [00:05<00:16, 1.98it/s]\n 29%|██▉ | 13/45 [00:06<00:16, 1.98it/s]\n 31%|███ | 14/45 [00:06<00:15, 1.98it/s]\n 33%|███▎ | 15/45 [00:07<00:15, 1.98it/s]\n 36%|███▌ | 16/45 [00:07<00:14, 1.98it/s]\n 38%|███▊ | 17/45 [00:08<00:14, 1.98it/s]\n 40%|████ | 18/45 [00:08<00:13, 1.98it/s]\n 42%|████▏ | 19/45 [00:09<00:13, 1.98it/s]\n 44%|████▍ | 20/45 [00:09<00:12, 1.98it/s]\n 47%|████▋ | 21/45 [00:10<00:12, 1.98it/s]\n 49%|████▉ | 22/45 [00:11<00:11, 1.98it/s]\n 51%|█████ | 23/45 [00:11<00:11, 1.98it/s]\n 53%|█████▎ | 24/45 [00:12<00:10, 1.98it/s]\n 56%|█████▌ | 25/45 [00:12<00:10, 1.98it/s]\n 58%|█████▊ | 26/45 [00:13<00:09, 1.97it/s]\n 60%|██████ | 27/45 [00:13<00:09, 1.98it/s]\n 62%|██████▏ | 28/45 [00:14<00:08, 1.98it/s]\n 64%|██████▍ | 29/45 [00:14<00:08, 1.98it/s]\n 67%|██████▋ | 30/45 [00:15<00:07, 1.98it/s]\n 69%|██████▉ | 31/45 [00:15<00:07, 1.98it/s]\n 71%|███████ | 32/45 [00:16<00:06, 1.98it/s]\n 73%|███████▎ | 33/45 [00:16<00:06, 1.98it/s]\n 76%|███████▌ | 34/45 [00:17<00:05, 1.98it/s]\n 78%|███████▊ | 35/45 [00:17<00:05, 1.99it/s]\n 80%|████████ | 36/45 [00:18<00:04, 1.99it/s]\n 82%|████████▏ | 37/45 [00:18<00:04, 1.99it/s]\n 84%|████████▍ | 38/45 [00:19<00:03, 1.99it/s]\n 87%|████████▋ | 39/45 [00:19<00:03, 1.99it/s]\n 89%|████████▉ | 40/45 [00:20<00:02, 1.99it/s]\n 91%|█████████ | 41/45 [00:20<00:02, 1.98it/s]\n 93%|█████████▎| 42/45 [00:21<00:01, 1.99it/s]\n 96%|█████████▌| 43/45 [00:21<00:01, 1.99it/s]\n 98%|█████████▊| 44/45 [00:22<00:00, 1.99it/s]\n100%|██████████| 45/45 [00:22<00:00, 1.99it/s]\n100%|██████████| 45/45 [00:22<00:00, 1.99it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 23.512562787, "total_time": 23.584042 }, "output": [ "https://replicate.delivery/xezq/s3DXCsBpltaKE18XzxdGofYJLPifBXffyJeLFUNfmhZVFXpPF/out-0.jpg", "https://replicate.delivery/xezq/lCyIx4hnwoZpJN6NW2xxl7th7f1EezCnR6rydt1NWmiVclepA/out-1.jpg" ], "started_at": "2025-07-08T04:56:30.205479Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-cp2cyegm5a5p3eqbwvkqdgrtaxfpexow5cc5w4f27bxxzo3pjkva", "get": "https://api.replicate.com/v1/predictions/5evv9nw0psrm80cqx1j9a45460", "cancel": "https://api.replicate.com/v1/predictions/5evv9nw0psrm80cqx1j9a45460/cancel" }, "version": "a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543" }Generated inLoaded LoRAs in 0.50s Using seed: 44498 Prompt: luismedellin in busan [!] txt2img mode 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:00<00:22, 2.00it/s] 4%|▍ | 2/45 [00:00<00:19, 2.26it/s] 7%|▋ | 3/45 [00:01<00:19, 2.13it/s] 9%|▉ | 4/45 [00:01<00:19, 2.07it/s] 11%|█ | 5/45 [00:02<00:19, 2.04it/s] 13%|█▎ | 6/45 [00:02<00:19, 2.02it/s] 16%|█▌ | 7/45 [00:03<00:18, 2.00it/s] 18%|█▊ | 8/45 [00:03<00:18, 2.00it/s] 20%|██ | 9/45 [00:04<00:18, 1.99it/s] 22%|██▏ | 10/45 [00:04<00:17, 1.99it/s] 24%|██▍ | 11/45 [00:05<00:17, 1.98it/s] 27%|██▋ | 12/45 [00:05<00:16, 1.98it/s] 29%|██▉ | 13/45 [00:06<00:16, 1.98it/s] 31%|███ | 14/45 [00:06<00:15, 1.98it/s] 33%|███▎ | 15/45 [00:07<00:15, 1.98it/s] 36%|███▌ | 16/45 [00:07<00:14, 1.98it/s] 38%|███▊ | 17/45 [00:08<00:14, 1.98it/s] 40%|████ | 18/45 [00:08<00:13, 1.98it/s] 42%|████▏ | 19/45 [00:09<00:13, 1.98it/s] 44%|████▍ | 20/45 [00:09<00:12, 1.98it/s] 47%|████▋ | 21/45 [00:10<00:12, 1.98it/s] 49%|████▉ | 22/45 [00:11<00:11, 1.98it/s] 51%|█████ | 23/45 [00:11<00:11, 1.98it/s] 53%|█████▎ | 24/45 [00:12<00:10, 1.98it/s] 56%|█████▌ | 25/45 [00:12<00:10, 1.98it/s] 58%|█████▊ | 26/45 [00:13<00:09, 1.97it/s] 60%|██████ | 27/45 [00:13<00:09, 1.98it/s] 62%|██████▏ | 28/45 [00:14<00:08, 1.98it/s] 64%|██████▍ | 29/45 [00:14<00:08, 1.98it/s] 67%|██████▋ | 30/45 [00:15<00:07, 1.98it/s] 69%|██████▉ | 31/45 [00:15<00:07, 1.98it/s] 71%|███████ | 32/45 [00:16<00:06, 1.98it/s] 73%|███████▎ | 33/45 [00:16<00:06, 1.98it/s] 76%|███████▌ | 34/45 [00:17<00:05, 1.98it/s] 78%|███████▊ | 35/45 [00:17<00:05, 1.99it/s] 80%|████████ | 36/45 [00:18<00:04, 1.99it/s] 82%|████████▏ | 37/45 [00:18<00:04, 1.99it/s] 84%|████████▍ | 38/45 [00:19<00:03, 1.99it/s] 87%|████████▋ | 39/45 [00:19<00:03, 1.99it/s] 89%|████████▉ | 40/45 [00:20<00:02, 1.99it/s] 91%|█████████ | 41/45 [00:20<00:02, 1.98it/s] 93%|█████████▎| 42/45 [00:21<00:01, 1.99it/s] 96%|█████████▌| 43/45 [00:21<00:01, 1.99it/s] 98%|█████████▊| 44/45 [00:22<00:00, 1.99it/s] 100%|██████████| 45/45 [00:22<00:00, 1.99it/s] 100%|██████████| 45/45 [00:22<00:00, 1.99it/s] Total safe images: 2 out of 2Prediction
luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543ID5evv9nw0psrm80cqx1j9a45460StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- luismedellin in busan
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 2
- output_quality
- 73
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 45
{ "model": "dev", "prompt": "luismedellin in busan", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run luisjd122/luismedellin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543", { input: { model: "dev", prompt: "luismedellin in busan", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 2, output_quality: 73, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 45 } } ); // 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 luisjd122/luismedellin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543", input={ "model": "dev", "prompt": "luismedellin in busan", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run luisjd122/luismedellin 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": "luisjd122/luismedellin:a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543", "input": { "model": "dev", "prompt": "luismedellin in busan", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-07-08T04:56:53.718042Z", "created_at": "2025-07-08T04:56:30.134000Z", "data_removed": false, "error": null, "id": "5evv9nw0psrm80cqx1j9a45460", "input": { "model": "dev", "prompt": "luismedellin in busan", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 2, "output_quality": 73, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 45 }, "logs": "Loaded LoRAs in 0.50s\nUsing seed: 44498\nPrompt: luismedellin in busan\n[!] txt2img mode\n 0%| | 0/45 [00:00<?, ?it/s]\n 2%|▏ | 1/45 [00:00<00:22, 2.00it/s]\n 4%|▍ | 2/45 [00:00<00:19, 2.26it/s]\n 7%|▋ | 3/45 [00:01<00:19, 2.13it/s]\n 9%|▉ | 4/45 [00:01<00:19, 2.07it/s]\n 11%|█ | 5/45 [00:02<00:19, 2.04it/s]\n 13%|█▎ | 6/45 [00:02<00:19, 2.02it/s]\n 16%|█▌ | 7/45 [00:03<00:18, 2.00it/s]\n 18%|█▊ | 8/45 [00:03<00:18, 2.00it/s]\n 20%|██ | 9/45 [00:04<00:18, 1.99it/s]\n 22%|██▏ | 10/45 [00:04<00:17, 1.99it/s]\n 24%|██▍ | 11/45 [00:05<00:17, 1.98it/s]\n 27%|██▋ | 12/45 [00:05<00:16, 1.98it/s]\n 29%|██▉ | 13/45 [00:06<00:16, 1.98it/s]\n 31%|███ | 14/45 [00:06<00:15, 1.98it/s]\n 33%|███▎ | 15/45 [00:07<00:15, 1.98it/s]\n 36%|███▌ | 16/45 [00:07<00:14, 1.98it/s]\n 38%|███▊ | 17/45 [00:08<00:14, 1.98it/s]\n 40%|████ | 18/45 [00:08<00:13, 1.98it/s]\n 42%|████▏ | 19/45 [00:09<00:13, 1.98it/s]\n 44%|████▍ | 20/45 [00:09<00:12, 1.98it/s]\n 47%|████▋ | 21/45 [00:10<00:12, 1.98it/s]\n 49%|████▉ | 22/45 [00:11<00:11, 1.98it/s]\n 51%|█████ | 23/45 [00:11<00:11, 1.98it/s]\n 53%|█████▎ | 24/45 [00:12<00:10, 1.98it/s]\n 56%|█████▌ | 25/45 [00:12<00:10, 1.98it/s]\n 58%|█████▊ | 26/45 [00:13<00:09, 1.97it/s]\n 60%|██████ | 27/45 [00:13<00:09, 1.98it/s]\n 62%|██████▏ | 28/45 [00:14<00:08, 1.98it/s]\n 64%|██████▍ | 29/45 [00:14<00:08, 1.98it/s]\n 67%|██████▋ | 30/45 [00:15<00:07, 1.98it/s]\n 69%|██████▉ | 31/45 [00:15<00:07, 1.98it/s]\n 71%|███████ | 32/45 [00:16<00:06, 1.98it/s]\n 73%|███████▎ | 33/45 [00:16<00:06, 1.98it/s]\n 76%|███████▌ | 34/45 [00:17<00:05, 1.98it/s]\n 78%|███████▊ | 35/45 [00:17<00:05, 1.99it/s]\n 80%|████████ | 36/45 [00:18<00:04, 1.99it/s]\n 82%|████████▏ | 37/45 [00:18<00:04, 1.99it/s]\n 84%|████████▍ | 38/45 [00:19<00:03, 1.99it/s]\n 87%|████████▋ | 39/45 [00:19<00:03, 1.99it/s]\n 89%|████████▉ | 40/45 [00:20<00:02, 1.99it/s]\n 91%|█████████ | 41/45 [00:20<00:02, 1.98it/s]\n 93%|█████████▎| 42/45 [00:21<00:01, 1.99it/s]\n 96%|█████████▌| 43/45 [00:21<00:01, 1.99it/s]\n 98%|█████████▊| 44/45 [00:22<00:00, 1.99it/s]\n100%|██████████| 45/45 [00:22<00:00, 1.99it/s]\n100%|██████████| 45/45 [00:22<00:00, 1.99it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 23.512562787, "total_time": 23.584042 }, "output": [ "https://replicate.delivery/xezq/s3DXCsBpltaKE18XzxdGofYJLPifBXffyJeLFUNfmhZVFXpPF/out-0.jpg", "https://replicate.delivery/xezq/lCyIx4hnwoZpJN6NW2xxl7th7f1EezCnR6rydt1NWmiVclepA/out-1.jpg" ], "started_at": "2025-07-08T04:56:30.205479Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-cp2cyegm5a5p3eqbwvkqdgrtaxfpexow5cc5w4f27bxxzo3pjkva", "get": "https://api.replicate.com/v1/predictions/5evv9nw0psrm80cqx1j9a45460", "cancel": "https://api.replicate.com/v1/predictions/5evv9nw0psrm80cqx1j9a45460/cancel" }, "version": "a8b122340617af94a8d8b29cd8376fc2a8530fe5e5d5a48dc94fc20621fac543" }Generated inLoaded LoRAs in 0.50s Using seed: 44498 Prompt: luismedellin in busan [!] txt2img mode 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:00<00:22, 2.00it/s] 4%|▍ | 2/45 [00:00<00:19, 2.26it/s] 7%|▋ | 3/45 [00:01<00:19, 2.13it/s] 9%|▉ | 4/45 [00:01<00:19, 2.07it/s] 11%|█ | 5/45 [00:02<00:19, 2.04it/s] 13%|█▎ | 6/45 [00:02<00:19, 2.02it/s] 16%|█▌ | 7/45 [00:03<00:18, 2.00it/s] 18%|█▊ | 8/45 [00:03<00:18, 2.00it/s] 20%|██ | 9/45 [00:04<00:18, 1.99it/s] 22%|██▏ | 10/45 [00:04<00:17, 1.99it/s] 24%|██▍ | 11/45 [00:05<00:17, 1.98it/s] 27%|██▋ | 12/45 [00:05<00:16, 1.98it/s] 29%|██▉ | 13/45 [00:06<00:16, 1.98it/s] 31%|███ | 14/45 [00:06<00:15, 1.98it/s] 33%|███▎ | 15/45 [00:07<00:15, 1.98it/s] 36%|███▌ | 16/45 [00:07<00:14, 1.98it/s] 38%|███▊ | 17/45 [00:08<00:14, 1.98it/s] 40%|████ | 18/45 [00:08<00:13, 1.98it/s] 42%|████▏ | 19/45 [00:09<00:13, 1.98it/s] 44%|████▍ | 20/45 [00:09<00:12, 1.98it/s] 47%|████▋ | 21/45 [00:10<00:12, 1.98it/s] 49%|████▉ | 22/45 [00:11<00:11, 1.98it/s] 51%|█████ | 23/45 [00:11<00:11, 1.98it/s] 53%|█████▎ | 24/45 [00:12<00:10, 1.98it/s] 56%|█████▌ | 25/45 [00:12<00:10, 1.98it/s] 58%|█████▊ | 26/45 [00:13<00:09, 1.97it/s] 60%|██████ | 27/45 [00:13<00:09, 1.98it/s] 62%|██████▏ | 28/45 [00:14<00:08, 1.98it/s] 64%|██████▍ | 29/45 [00:14<00:08, 1.98it/s] 67%|██████▋ | 30/45 [00:15<00:07, 1.98it/s] 69%|██████▉ | 31/45 [00:15<00:07, 1.98it/s] 71%|███████ | 32/45 [00:16<00:06, 1.98it/s] 73%|███████▎ | 33/45 [00:16<00:06, 1.98it/s] 76%|███████▌ | 34/45 [00:17<00:05, 1.98it/s] 78%|███████▊ | 35/45 [00:17<00:05, 1.99it/s] 80%|████████ | 36/45 [00:18<00:04, 1.99it/s] 82%|████████▏ | 37/45 [00:18<00:04, 1.99it/s] 84%|████████▍ | 38/45 [00:19<00:03, 1.99it/s] 87%|████████▋ | 39/45 [00:19<00:03, 1.99it/s] 89%|████████▉ | 40/45 [00:20<00:02, 1.99it/s] 91%|█████████ | 41/45 [00:20<00:02, 1.98it/s] 93%|█████████▎| 42/45 [00:21<00:01, 1.99it/s] 96%|█████████▌| 43/45 [00:21<00:01, 1.99it/s] 98%|█████████▊| 44/45 [00:22<00:00, 1.99it/s] 100%|██████████| 45/45 [00:22<00:00, 1.99it/s] 100%|██████████| 45/45 [00:22<00:00, 1.99it/s] Total safe images: 2 out of 2
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