danielguedesb / pix2pix
- Public
- 2.7K runs
-
L40S
Prediction
danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22aIDyxbt6edbxgjcxq3hiiamlfdqjuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- make the fruit dark red
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- num_inference_steps
- 100
- image_guidance_scale
- 1.5
{ "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", { input: { image: "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", prompt: "make the fruit dark red", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, num_inference_steps: 100, image_guidance_scale: 1.5 } } ); // 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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", input={ "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danielguedesb/pix2pix 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": "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", "input": { "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-17T21:02:49.976926Z", "created_at": "2024-03-17T20:59:46.099582Z", "data_removed": false, "error": null, "id": "yxbt6edbxgjcxq3hiiamlfdqju", "input": { "image": "https://replicate.delivery/pbxt/KaTzERm9BD8vG81jdtQ57gBKxwC5lGsSCMLMMzRjLfG0G9of/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "make the fruit dark red", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }, "logs": "Using seed: 47143\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:00<00:47, 2.10it/s]\n 2%|▏ | 2/100 [00:00<00:25, 3.80it/s]\n 3%|▎ | 3/100 [00:01<00:32, 3.01it/s]\n 4%|▍ | 4/100 [00:01<00:34, 2.75it/s]\n 5%|▌ | 5/100 [00:01<00:36, 2.62it/s]\n 6%|▌ | 6/100 [00:02<00:36, 2.54it/s]\n 7%|▋ | 7/100 [00:02<00:37, 2.50it/s]\n 8%|▊ | 8/100 [00:03<00:37, 2.47it/s]\n 9%|▉ | 9/100 [00:03<00:37, 2.45it/s]\n 10%|█ | 10/100 [00:03<00:36, 2.44it/s]\n 11%|█ | 11/100 [00:04<00:36, 2.43it/s]\n 12%|█▏ | 12/100 [00:04<00:36, 2.42it/s]\n 13%|█▎ | 13/100 [00:05<00:36, 2.41it/s]\n 14%|█▍ | 14/100 [00:05<00:35, 2.41it/s]\n 15%|█▌ | 15/100 [00:05<00:35, 2.41it/s]\n 16%|█▌ | 16/100 [00:06<00:34, 2.41it/s]\n 17%|█▋ | 17/100 [00:06<00:34, 2.40it/s]\n 18%|█▊ | 18/100 [00:07<00:34, 2.40it/s]\n 19%|█▉ | 19/100 [00:07<00:33, 2.40it/s]\n 20%|██ | 20/100 [00:08<00:33, 2.40it/s]\n 21%|██ | 21/100 [00:08<00:32, 2.40it/s]\n 22%|██▏ | 22/100 [00:08<00:32, 2.40it/s]\n 23%|██▎ | 23/100 [00:09<00:32, 2.40it/s]\n 24%|██▍ | 24/100 [00:09<00:31, 2.40it/s]\n 25%|██▌ | 25/100 [00:10<00:31, 2.40it/s]\n 26%|██▌ | 26/100 [00:10<00:30, 2.40it/s]\n 27%|██▋ | 27/100 [00:10<00:30, 2.40it/s]\n 28%|██▊ | 28/100 [00:11<00:30, 2.39it/s]\n 29%|██▉ | 29/100 [00:11<00:29, 2.40it/s]\n 30%|███ | 30/100 [00:12<00:29, 2.40it/s]\n 31%|███ | 31/100 [00:12<00:28, 2.40it/s]\n 32%|███▏ | 32/100 [00:13<00:28, 2.40it/s]\n 33%|███▎ | 33/100 [00:13<00:27, 2.41it/s]\n 34%|███▍ | 34/100 [00:13<00:27, 2.41it/s]\n 35%|███▌ | 35/100 [00:14<00:26, 2.41it/s]\n 36%|███▌ | 36/100 [00:14<00:26, 2.41it/s]\n 37%|███▋ | 37/100 [00:15<00:26, 2.41it/s]\n 38%|███▊ | 38/100 [00:15<00:25, 2.41it/s]\n 39%|███▉ | 39/100 [00:15<00:25, 2.41it/s]\n 40%|████ | 40/100 [00:16<00:24, 2.41it/s]\n 41%|████ | 41/100 [00:16<00:24, 2.41it/s]\n 42%|████▏ | 42/100 [00:17<00:24, 2.41it/s]\n 43%|████▎ | 43/100 [00:17<00:23, 2.40it/s]\n 44%|████▍ | 44/100 [00:18<00:23, 2.40it/s]\n 45%|████▌ | 45/100 [00:18<00:22, 2.40it/s]\n 46%|████▌ | 46/100 [00:18<00:22, 2.40it/s]\n 47%|████▋ | 47/100 [00:19<00:22, 2.40it/s]\n 48%|████▊ | 48/100 [00:19<00:21, 2.40it/s]\n 49%|████▉ | 49/100 [00:20<00:21, 2.40it/s]\n 50%|█████ | 50/100 [00:20<00:20, 2.40it/s]\n 51%|█████ | 51/100 [00:20<00:20, 2.40it/s]\n 52%|█████▏ | 52/100 [00:21<00:19, 2.40it/s]\n 53%|█████▎ | 53/100 [00:21<00:19, 2.40it/s]\n 54%|█████▍ | 54/100 [00:22<00:19, 2.40it/s]\n 55%|█████▌ | 55/100 [00:22<00:18, 2.40it/s]\n 56%|█████▌ | 56/100 [00:23<00:18, 2.40it/s]\n 57%|█████▋ | 57/100 [00:23<00:17, 2.40it/s]\n 58%|█████▊ | 58/100 [00:23<00:17, 2.40it/s]\n 59%|█████▉ | 59/100 [00:24<00:17, 2.40it/s]\n 60%|██████ | 60/100 [00:24<00:16, 2.40it/s]\n 61%|██████ | 61/100 [00:25<00:16, 2.40it/s]\n 62%|██████▏ | 62/100 [00:25<00:15, 2.40it/s]\n 63%|██████▎ | 63/100 [00:25<00:15, 2.40it/s]\n 64%|██████▍ | 64/100 [00:26<00:15, 2.39it/s]\n 65%|██████▌ | 65/100 [00:26<00:14, 2.39it/s]\n 66%|██████▌ | 66/100 [00:27<00:14, 2.39it/s]\n 67%|██████▋ | 67/100 [00:27<00:13, 2.39it/s]\n 68%|██████▊ | 68/100 [00:28<00:13, 2.39it/s]\n 69%|██████▉ | 69/100 [00:28<00:12, 2.39it/s]\n 70%|███████ | 70/100 [00:28<00:12, 2.39it/s]\n 71%|███████ | 71/100 [00:29<00:12, 2.39it/s]\n 72%|███████▏ | 72/100 [00:29<00:11, 2.39it/s]\n 73%|███████▎ | 73/100 [00:30<00:11, 2.39it/s]\n 74%|███████▍ | 74/100 [00:30<00:10, 2.39it/s]\n 75%|███████▌ | 75/100 [00:31<00:10, 2.39it/s]\n 76%|███████▌ | 76/100 [00:31<00:10, 2.39it/s]\n 77%|███████▋ | 77/100 [00:31<00:09, 2.39it/s]\n 78%|███████▊ | 78/100 [00:32<00:09, 2.39it/s]\n 79%|███████▉ | 79/100 [00:32<00:08, 2.38it/s]\n 80%|████████ | 80/100 [00:33<00:08, 2.38it/s]\n 81%|████████ | 81/100 [00:33<00:07, 2.38it/s]\n 82%|████████▏ | 82/100 [00:33<00:07, 2.38it/s]\n 83%|████████▎ | 83/100 [00:34<00:07, 2.38it/s]\n 84%|████████▍ | 84/100 [00:34<00:06, 2.38it/s]\n 85%|████████▌ | 85/100 [00:35<00:06, 2.39it/s]\n 86%|████████▌ | 86/100 [00:35<00:05, 2.39it/s]\n 87%|████████▋ | 87/100 [00:36<00:05, 2.39it/s]\n 88%|████████▊ | 88/100 [00:36<00:05, 2.39it/s]\n 89%|████████▉ | 89/100 [00:36<00:04, 2.38it/s]\n 90%|█████████ | 90/100 [00:37<00:04, 2.39it/s]\n 91%|█████████ | 91/100 [00:37<00:03, 2.39it/s]\n 92%|█████████▏| 92/100 [00:38<00:03, 2.39it/s]\n 93%|█████████▎| 93/100 [00:38<00:02, 2.39it/s]\n 94%|█████████▍| 94/100 [00:38<00:02, 2.39it/s]\n 95%|█████████▌| 95/100 [00:39<00:02, 2.39it/s]\n 96%|█████████▌| 96/100 [00:39<00:01, 2.39it/s]\n 97%|█████████▋| 97/100 [00:40<00:01, 2.39it/s]\n 98%|█████████▊| 98/100 [00:40<00:00, 2.37it/s]\n 99%|█████████▉| 99/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.41it/s]", "metrics": { "predict_time": 46.268996, "total_time": 183.877344 }, "output": [ "https://replicate.delivery/pbxt/VzCeGAYb9V0jYKKJkgwBJlk8miEqj3VudHWrTqxmzRz8YoQJA/out-0.png" ], "started_at": "2024-03-17T21:02:03.707930Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yxbt6edbxgjcxq3hiiamlfdqju", "cancel": "https://api.replicate.com/v1/predictions/yxbt6edbxgjcxq3hiiamlfdqju/cancel" }, "version": "4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a" }Generated inUsing seed: 47143 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:47, 2.10it/s] 2%|▏ | 2/100 [00:00<00:25, 3.80it/s] 3%|▎ | 3/100 [00:01<00:32, 3.01it/s] 4%|▍ | 4/100 [00:01<00:34, 2.75it/s] 5%|▌ | 5/100 [00:01<00:36, 2.62it/s] 6%|▌ | 6/100 [00:02<00:36, 2.54it/s] 7%|▋ | 7/100 [00:02<00:37, 2.50it/s] 8%|▊ | 8/100 [00:03<00:37, 2.47it/s] 9%|▉ | 9/100 [00:03<00:37, 2.45it/s] 10%|█ | 10/100 [00:03<00:36, 2.44it/s] 11%|█ | 11/100 [00:04<00:36, 2.43it/s] 12%|█▏ | 12/100 [00:04<00:36, 2.42it/s] 13%|█▎ | 13/100 [00:05<00:36, 2.41it/s] 14%|█▍ | 14/100 [00:05<00:35, 2.41it/s] 15%|█▌ | 15/100 [00:05<00:35, 2.41it/s] 16%|█▌ | 16/100 [00:06<00:34, 2.41it/s] 17%|█▋ | 17/100 [00:06<00:34, 2.40it/s] 18%|█▊ | 18/100 [00:07<00:34, 2.40it/s] 19%|█▉ | 19/100 [00:07<00:33, 2.40it/s] 20%|██ | 20/100 [00:08<00:33, 2.40it/s] 21%|██ | 21/100 [00:08<00:32, 2.40it/s] 22%|██▏ | 22/100 [00:08<00:32, 2.40it/s] 23%|██▎ | 23/100 [00:09<00:32, 2.40it/s] 24%|██▍ | 24/100 [00:09<00:31, 2.40it/s] 25%|██▌ | 25/100 [00:10<00:31, 2.40it/s] 26%|██▌ | 26/100 [00:10<00:30, 2.40it/s] 27%|██▋ | 27/100 [00:10<00:30, 2.40it/s] 28%|██▊ | 28/100 [00:11<00:30, 2.39it/s] 29%|██▉ | 29/100 [00:11<00:29, 2.40it/s] 30%|███ | 30/100 [00:12<00:29, 2.40it/s] 31%|███ | 31/100 [00:12<00:28, 2.40it/s] 32%|███▏ | 32/100 [00:13<00:28, 2.40it/s] 33%|███▎ | 33/100 [00:13<00:27, 2.41it/s] 34%|███▍ | 34/100 [00:13<00:27, 2.41it/s] 35%|███▌ | 35/100 [00:14<00:26, 2.41it/s] 36%|███▌ | 36/100 [00:14<00:26, 2.41it/s] 37%|███▋ | 37/100 [00:15<00:26, 2.41it/s] 38%|███▊ | 38/100 [00:15<00:25, 2.41it/s] 39%|███▉ | 39/100 [00:15<00:25, 2.41it/s] 40%|████ | 40/100 [00:16<00:24, 2.41it/s] 41%|████ | 41/100 [00:16<00:24, 2.41it/s] 42%|████▏ | 42/100 [00:17<00:24, 2.41it/s] 43%|████▎ | 43/100 [00:17<00:23, 2.40it/s] 44%|████▍ | 44/100 [00:18<00:23, 2.40it/s] 45%|████▌ | 45/100 [00:18<00:22, 2.40it/s] 46%|████▌ | 46/100 [00:18<00:22, 2.40it/s] 47%|████▋ | 47/100 [00:19<00:22, 2.40it/s] 48%|████▊ | 48/100 [00:19<00:21, 2.40it/s] 49%|████▉ | 49/100 [00:20<00:21, 2.40it/s] 50%|█████ | 50/100 [00:20<00:20, 2.40it/s] 51%|█████ | 51/100 [00:20<00:20, 2.40it/s] 52%|█████▏ | 52/100 [00:21<00:19, 2.40it/s] 53%|█████▎ | 53/100 [00:21<00:19, 2.40it/s] 54%|█████▍ | 54/100 [00:22<00:19, 2.40it/s] 55%|█████▌ | 55/100 [00:22<00:18, 2.40it/s] 56%|█████▌ | 56/100 [00:23<00:18, 2.40it/s] 57%|█████▋ | 57/100 [00:23<00:17, 2.40it/s] 58%|█████▊ | 58/100 [00:23<00:17, 2.40it/s] 59%|█████▉ | 59/100 [00:24<00:17, 2.40it/s] 60%|██████ | 60/100 [00:24<00:16, 2.40it/s] 61%|██████ | 61/100 [00:25<00:16, 2.40it/s] 62%|██████▏ | 62/100 [00:25<00:15, 2.40it/s] 63%|██████▎ | 63/100 [00:25<00:15, 2.40it/s] 64%|██████▍ | 64/100 [00:26<00:15, 2.39it/s] 65%|██████▌ | 65/100 [00:26<00:14, 2.39it/s] 66%|██████▌ | 66/100 [00:27<00:14, 2.39it/s] 67%|██████▋ | 67/100 [00:27<00:13, 2.39it/s] 68%|██████▊ | 68/100 [00:28<00:13, 2.39it/s] 69%|██████▉ | 69/100 [00:28<00:12, 2.39it/s] 70%|███████ | 70/100 [00:28<00:12, 2.39it/s] 71%|███████ | 71/100 [00:29<00:12, 2.39it/s] 72%|███████▏ | 72/100 [00:29<00:11, 2.39it/s] 73%|███████▎ | 73/100 [00:30<00:11, 2.39it/s] 74%|███████▍ | 74/100 [00:30<00:10, 2.39it/s] 75%|███████▌ | 75/100 [00:31<00:10, 2.39it/s] 76%|███████▌ | 76/100 [00:31<00:10, 2.39it/s] 77%|███████▋ | 77/100 [00:31<00:09, 2.39it/s] 78%|███████▊ | 78/100 [00:32<00:09, 2.39it/s] 79%|███████▉ | 79/100 [00:32<00:08, 2.38it/s] 80%|████████ | 80/100 [00:33<00:08, 2.38it/s] 81%|████████ | 81/100 [00:33<00:07, 2.38it/s] 82%|████████▏ | 82/100 [00:33<00:07, 2.38it/s] 83%|████████▎ | 83/100 [00:34<00:07, 2.38it/s] 84%|████████▍ | 84/100 [00:34<00:06, 2.38it/s] 85%|████████▌ | 85/100 [00:35<00:06, 2.39it/s] 86%|████████▌ | 86/100 [00:35<00:05, 2.39it/s] 87%|████████▋ | 87/100 [00:36<00:05, 2.39it/s] 88%|████████▊ | 88/100 [00:36<00:05, 2.39it/s] 89%|████████▉ | 89/100 [00:36<00:04, 2.38it/s] 90%|█████████ | 90/100 [00:37<00:04, 2.39it/s] 91%|█████████ | 91/100 [00:37<00:03, 2.39it/s] 92%|█████████▏| 92/100 [00:38<00:03, 2.39it/s] 93%|█████████▎| 93/100 [00:38<00:02, 2.39it/s] 94%|█████████▍| 94/100 [00:38<00:02, 2.39it/s] 95%|█████████▌| 95/100 [00:39<00:02, 2.39it/s] 96%|█████████▌| 96/100 [00:39<00:01, 2.39it/s] 97%|█████████▋| 97/100 [00:40<00:01, 2.39it/s] 98%|█████████▊| 98/100 [00:40<00:00, 2.37it/s] 99%|█████████▉| 99/100 [00:41<00:00, 2.37it/s] 100%|██████████| 100/100 [00:41<00:00, 2.37it/s] 100%|██████████| 100/100 [00:41<00:00, 2.41it/s]Prediction
danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22aIDinsfjxdb55g66yoch6lwjh5w6uStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- What would it look like if it was night
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- num_inference_steps
- 100
- image_guidance_scale
- 1.5
{ "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", { input: { image: "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", prompt: "What would it look like if it was night", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, num_inference_steps: 100, image_guidance_scale: 1.5 } } ); // 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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", input={ "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danielguedesb/pix2pix 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": "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", "input": { "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-18T12:26:40.721491Z", "created_at": "2024-03-18T12:26:13.710738Z", "data_removed": false, "error": null, "id": "insfjxdb55g66yoch6lwjh5w6u", "input": { "image": "https://replicate.delivery/pbxt/Kai95cmgwcQjvclhhuDw8DDNnJiglrm6nlkTh9FBQTXud0Se/Screenshot%202024-03-17%20at%2015.47.30.png", "prompt": "What would it look like if it was night", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }, "logs": "Using seed: 17977\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:00<00:19, 4.96it/s]\n 2%|▏ | 2/100 [00:00<00:22, 4.31it/s]\n 3%|▎ | 3/100 [00:00<00:23, 4.14it/s]\n 4%|▍ | 4/100 [00:00<00:23, 4.07it/s]\n 5%|▌ | 5/100 [00:01<00:23, 4.01it/s]\n 6%|▌ | 6/100 [00:01<00:23, 3.98it/s]\n 7%|▋ | 7/100 [00:01<00:23, 3.97it/s]\n 8%|▊ | 8/100 [00:01<00:23, 3.96it/s]\n 9%|▉ | 9/100 [00:02<00:23, 3.95it/s]\n 10%|█ | 10/100 [00:02<00:22, 3.93it/s]\n 11%|█ | 11/100 [00:02<00:22, 3.93it/s]\n 12%|█▏ | 12/100 [00:02<00:22, 3.93it/s]\n 13%|█▎ | 13/100 [00:03<00:22, 3.93it/s]\n 14%|█▍ | 14/100 [00:03<00:21, 3.92it/s]\n 15%|█▌ | 15/100 [00:03<00:21, 3.93it/s]\n 16%|█▌ | 16/100 [00:04<00:21, 3.92it/s]\n 17%|█▋ | 17/100 [00:04<00:21, 3.92it/s]\n 18%|█▊ | 18/100 [00:04<00:20, 3.92it/s]\n 19%|█▉ | 19/100 [00:04<00:20, 3.93it/s]\n 20%|██ | 20/100 [00:05<00:20, 3.92it/s]\n 21%|██ | 21/100 [00:05<00:20, 3.91it/s]\n 22%|██▏ | 22/100 [00:05<00:19, 3.92it/s]\n 23%|██▎ | 23/100 [00:05<00:19, 3.91it/s]\n 24%|██▍ | 24/100 [00:06<00:19, 3.90it/s]\n 25%|██▌ | 25/100 [00:06<00:19, 3.91it/s]\n 26%|██▌ | 26/100 [00:06<00:18, 3.91it/s]\n 27%|██▋ | 27/100 [00:06<00:18, 3.92it/s]\n 28%|██▊ | 28/100 [00:07<00:18, 3.94it/s]\n 29%|██▉ | 29/100 [00:07<00:18, 3.94it/s]\n 30%|███ | 30/100 [00:07<00:17, 3.94it/s]\n 31%|███ | 31/100 [00:07<00:17, 3.95it/s]\n 32%|███▏ | 32/100 [00:08<00:17, 3.95it/s]\n 33%|███▎ | 33/100 [00:08<00:16, 3.95it/s]\n 34%|███▍ | 34/100 [00:08<00:16, 3.95it/s]\n 35%|███▌ | 35/100 [00:08<00:16, 3.94it/s]\n 36%|███▌ | 36/100 [00:09<00:16, 3.94it/s]\n 37%|███▋ | 37/100 [00:09<00:15, 3.94it/s]\n 38%|███▊ | 38/100 [00:09<00:15, 3.94it/s]\n 39%|███▉ | 39/100 [00:09<00:15, 3.94it/s]\n 40%|████ | 40/100 [00:10<00:15, 3.94it/s]\n 41%|████ | 41/100 [00:10<00:14, 3.95it/s]\n 42%|████▏ | 42/100 [00:10<00:14, 3.95it/s]\n 43%|████▎ | 43/100 [00:10<00:14, 3.94it/s]\n 44%|████▍ | 44/100 [00:11<00:14, 3.95it/s]\n 45%|████▌ | 45/100 [00:11<00:13, 3.94it/s]\n 46%|████▌ | 46/100 [00:11<00:13, 3.94it/s]\n 47%|████▋ | 47/100 [00:11<00:13, 3.95it/s]\n 48%|████▊ | 48/100 [00:12<00:13, 3.95it/s]\n 49%|████▉ | 49/100 [00:12<00:12, 3.94it/s]\n 50%|█████ | 50/100 [00:12<00:12, 3.94it/s]\n 51%|█████ | 51/100 [00:12<00:12, 3.94it/s]\n 52%|█████▏ | 52/100 [00:13<00:12, 3.94it/s]\n 53%|█████▎ | 53/100 [00:13<00:11, 3.94it/s]\n 54%|█████▍ | 54/100 [00:13<00:11, 3.94it/s]\n 55%|█████▌ | 55/100 [00:13<00:11, 3.94it/s]\n 56%|█████▌ | 56/100 [00:14<00:11, 3.94it/s]\n 57%|█████▋ | 57/100 [00:14<00:10, 3.94it/s]\n 58%|█████▊ | 58/100 [00:14<00:10, 3.94it/s]\n 59%|█████▉ | 59/100 [00:14<00:10, 3.94it/s]\n 60%|██████ | 60/100 [00:15<00:10, 3.94it/s]\n 61%|██████ | 61/100 [00:15<00:09, 3.94it/s]\n 62%|██████▏ | 62/100 [00:15<00:09, 3.94it/s]\n 63%|██████▎ | 63/100 [00:15<00:09, 3.94it/s]\n 64%|██████▍ | 64/100 [00:16<00:09, 3.94it/s]\n 65%|██████▌ | 65/100 [00:16<00:08, 3.93it/s]\n 66%|██████▌ | 66/100 [00:16<00:08, 3.93it/s]\n 67%|██████▋ | 67/100 [00:16<00:08, 3.94it/s]\n 68%|██████▊ | 68/100 [00:17<00:08, 3.94it/s]\n 69%|██████▉ | 69/100 [00:17<00:07, 3.93it/s]\n 70%|███████ | 70/100 [00:17<00:07, 3.94it/s]\n 71%|███████ | 71/100 [00:17<00:07, 3.93it/s]\n 72%|███████▏ | 72/100 [00:18<00:07, 3.93it/s]\n 73%|███████▎ | 73/100 [00:18<00:06, 3.93it/s]\n 74%|███████▍ | 74/100 [00:18<00:06, 3.93it/s]\n 75%|███████▌ | 75/100 [00:19<00:06, 3.93it/s]\n 76%|███████▌ | 76/100 [00:19<00:06, 3.93it/s]\n 77%|███████▋ | 77/100 [00:19<00:05, 3.93it/s]\n 78%|███████▊ | 78/100 [00:19<00:05, 3.93it/s]\n 79%|███████▉ | 79/100 [00:20<00:05, 3.93it/s]\n 80%|████████ | 80/100 [00:20<00:05, 3.93it/s]\n 81%|████████ | 81/100 [00:20<00:04, 3.93it/s]\n 82%|████████▏ | 82/100 [00:20<00:04, 3.93it/s]\n 83%|████████▎ | 83/100 [00:21<00:04, 3.93it/s]\n 84%|████████▍ | 84/100 [00:21<00:04, 3.92it/s]\n 85%|████████▌ | 85/100 [00:21<00:03, 3.93it/s]\n 86%|████████▌ | 86/100 [00:21<00:03, 3.93it/s]\n 87%|████████▋ | 87/100 [00:22<00:03, 3.92it/s]\n 88%|████████▊ | 88/100 [00:22<00:03, 3.92it/s]\n 89%|████████▉ | 89/100 [00:22<00:02, 3.92it/s]\n 90%|█████████ | 90/100 [00:22<00:02, 3.92it/s]\n 91%|█████████ | 91/100 [00:23<00:02, 3.92it/s]\n 92%|█████████▏| 92/100 [00:23<00:02, 3.92it/s]\n 93%|█████████▎| 93/100 [00:23<00:01, 3.92it/s]\n 94%|█████████▍| 94/100 [00:23<00:01, 3.92it/s]\n 95%|█████████▌| 95/100 [00:24<00:01, 3.92it/s]\n 96%|█████████▌| 96/100 [00:24<00:01, 3.91it/s]\n 97%|█████████▋| 97/100 [00:24<00:00, 3.91it/s]\n 98%|█████████▊| 98/100 [00:24<00:00, 3.92it/s]\n 99%|█████████▉| 99/100 [00:25<00:00, 3.92it/s]\n100%|██████████| 100/100 [00:25<00:00, 3.92it/s]\n100%|██████████| 100/100 [00:25<00:00, 3.94it/s]", "metrics": { "predict_time": 26.999901, "total_time": 27.010753 }, "output": [ "https://replicate.delivery/pbxt/dztZezCi5kQNfEfrfxkgrtcisDmZNvncmolXZGgvVnlBQ5FKB/out-0.png" ], "started_at": "2024-03-18T12:26:13.721590Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/insfjxdb55g66yoch6lwjh5w6u", "cancel": "https://api.replicate.com/v1/predictions/insfjxdb55g66yoch6lwjh5w6u/cancel" }, "version": "4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a" }Generated inUsing seed: 17977 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:19, 4.96it/s] 2%|▏ | 2/100 [00:00<00:22, 4.31it/s] 3%|▎ | 3/100 [00:00<00:23, 4.14it/s] 4%|▍ | 4/100 [00:00<00:23, 4.07it/s] 5%|▌ | 5/100 [00:01<00:23, 4.01it/s] 6%|▌ | 6/100 [00:01<00:23, 3.98it/s] 7%|▋ | 7/100 [00:01<00:23, 3.97it/s] 8%|▊ | 8/100 [00:01<00:23, 3.96it/s] 9%|▉ | 9/100 [00:02<00:23, 3.95it/s] 10%|█ | 10/100 [00:02<00:22, 3.93it/s] 11%|█ | 11/100 [00:02<00:22, 3.93it/s] 12%|█▏ | 12/100 [00:02<00:22, 3.93it/s] 13%|█▎ | 13/100 [00:03<00:22, 3.93it/s] 14%|█▍ | 14/100 [00:03<00:21, 3.92it/s] 15%|█▌ | 15/100 [00:03<00:21, 3.93it/s] 16%|█▌ | 16/100 [00:04<00:21, 3.92it/s] 17%|█▋ | 17/100 [00:04<00:21, 3.92it/s] 18%|█▊ | 18/100 [00:04<00:20, 3.92it/s] 19%|█▉ | 19/100 [00:04<00:20, 3.93it/s] 20%|██ | 20/100 [00:05<00:20, 3.92it/s] 21%|██ | 21/100 [00:05<00:20, 3.91it/s] 22%|██▏ | 22/100 [00:05<00:19, 3.92it/s] 23%|██▎ | 23/100 [00:05<00:19, 3.91it/s] 24%|██▍ | 24/100 [00:06<00:19, 3.90it/s] 25%|██▌ | 25/100 [00:06<00:19, 3.91it/s] 26%|██▌ | 26/100 [00:06<00:18, 3.91it/s] 27%|██▋ | 27/100 [00:06<00:18, 3.92it/s] 28%|██▊ | 28/100 [00:07<00:18, 3.94it/s] 29%|██▉ | 29/100 [00:07<00:18, 3.94it/s] 30%|███ | 30/100 [00:07<00:17, 3.94it/s] 31%|███ | 31/100 [00:07<00:17, 3.95it/s] 32%|███▏ | 32/100 [00:08<00:17, 3.95it/s] 33%|███▎ | 33/100 [00:08<00:16, 3.95it/s] 34%|███▍ | 34/100 [00:08<00:16, 3.95it/s] 35%|███▌ | 35/100 [00:08<00:16, 3.94it/s] 36%|███▌ | 36/100 [00:09<00:16, 3.94it/s] 37%|███▋ | 37/100 [00:09<00:15, 3.94it/s] 38%|███▊ | 38/100 [00:09<00:15, 3.94it/s] 39%|███▉ | 39/100 [00:09<00:15, 3.94it/s] 40%|████ | 40/100 [00:10<00:15, 3.94it/s] 41%|████ | 41/100 [00:10<00:14, 3.95it/s] 42%|████▏ | 42/100 [00:10<00:14, 3.95it/s] 43%|████▎ | 43/100 [00:10<00:14, 3.94it/s] 44%|████▍ | 44/100 [00:11<00:14, 3.95it/s] 45%|████▌ | 45/100 [00:11<00:13, 3.94it/s] 46%|████▌ | 46/100 [00:11<00:13, 3.94it/s] 47%|████▋ | 47/100 [00:11<00:13, 3.95it/s] 48%|████▊ | 48/100 [00:12<00:13, 3.95it/s] 49%|████▉ | 49/100 [00:12<00:12, 3.94it/s] 50%|█████ | 50/100 [00:12<00:12, 3.94it/s] 51%|█████ | 51/100 [00:12<00:12, 3.94it/s] 52%|█████▏ | 52/100 [00:13<00:12, 3.94it/s] 53%|█████▎ | 53/100 [00:13<00:11, 3.94it/s] 54%|█████▍ | 54/100 [00:13<00:11, 3.94it/s] 55%|█████▌ | 55/100 [00:13<00:11, 3.94it/s] 56%|█████▌ | 56/100 [00:14<00:11, 3.94it/s] 57%|█████▋ | 57/100 [00:14<00:10, 3.94it/s] 58%|█████▊ | 58/100 [00:14<00:10, 3.94it/s] 59%|█████▉ | 59/100 [00:14<00:10, 3.94it/s] 60%|██████ | 60/100 [00:15<00:10, 3.94it/s] 61%|██████ | 61/100 [00:15<00:09, 3.94it/s] 62%|██████▏ | 62/100 [00:15<00:09, 3.94it/s] 63%|██████▎ | 63/100 [00:15<00:09, 3.94it/s] 64%|██████▍ | 64/100 [00:16<00:09, 3.94it/s] 65%|██████▌ | 65/100 [00:16<00:08, 3.93it/s] 66%|██████▌ | 66/100 [00:16<00:08, 3.93it/s] 67%|██████▋ | 67/100 [00:16<00:08, 3.94it/s] 68%|██████▊ | 68/100 [00:17<00:08, 3.94it/s] 69%|██████▉ | 69/100 [00:17<00:07, 3.93it/s] 70%|███████ | 70/100 [00:17<00:07, 3.94it/s] 71%|███████ | 71/100 [00:17<00:07, 3.93it/s] 72%|███████▏ | 72/100 [00:18<00:07, 3.93it/s] 73%|███████▎ | 73/100 [00:18<00:06, 3.93it/s] 74%|███████▍ | 74/100 [00:18<00:06, 3.93it/s] 75%|███████▌ | 75/100 [00:19<00:06, 3.93it/s] 76%|███████▌ | 76/100 [00:19<00:06, 3.93it/s] 77%|███████▋ | 77/100 [00:19<00:05, 3.93it/s] 78%|███████▊ | 78/100 [00:19<00:05, 3.93it/s] 79%|███████▉ | 79/100 [00:20<00:05, 3.93it/s] 80%|████████ | 80/100 [00:20<00:05, 3.93it/s] 81%|████████ | 81/100 [00:20<00:04, 3.93it/s] 82%|████████▏ | 82/100 [00:20<00:04, 3.93it/s] 83%|████████▎ | 83/100 [00:21<00:04, 3.93it/s] 84%|████████▍ | 84/100 [00:21<00:04, 3.92it/s] 85%|████████▌ | 85/100 [00:21<00:03, 3.93it/s] 86%|████████▌ | 86/100 [00:21<00:03, 3.93it/s] 87%|████████▋ | 87/100 [00:22<00:03, 3.92it/s] 88%|████████▊ | 88/100 [00:22<00:03, 3.92it/s] 89%|████████▉ | 89/100 [00:22<00:02, 3.92it/s] 90%|█████████ | 90/100 [00:22<00:02, 3.92it/s] 91%|█████████ | 91/100 [00:23<00:02, 3.92it/s] 92%|█████████▏| 92/100 [00:23<00:02, 3.92it/s] 93%|█████████▎| 93/100 [00:23<00:01, 3.92it/s] 94%|█████████▍| 94/100 [00:23<00:01, 3.92it/s] 95%|█████████▌| 95/100 [00:24<00:01, 3.92it/s] 96%|█████████▌| 96/100 [00:24<00:01, 3.91it/s] 97%|█████████▋| 97/100 [00:24<00:00, 3.91it/s] 98%|█████████▊| 98/100 [00:24<00:00, 3.92it/s] 99%|█████████▉| 99/100 [00:25<00:00, 3.92it/s] 100%|██████████| 100/100 [00:25<00:00, 3.92it/s] 100%|██████████| 100/100 [00:25<00:00, 3.94it/s]Prediction
danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22aIDocrzvjtbkhx63lko6nhgngpnwuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- image
- prompt
- How would it look like with colors inverted
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 7.5
- num_inference_steps
- 100
- image_guidance_scale
- 1.5
{ "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", { input: { image: "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", prompt: "How would it look like with colors inverted", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 7.5, num_inference_steps: 100, image_guidance_scale: 1.5 } } ); // 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 danielguedesb/pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", input={ "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danielguedesb/pix2pix 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": "danielguedesb/pix2pix:4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a", "input": { "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-03-18T12:29:06.527143Z", "created_at": "2024-03-18T12:28:22.526842Z", "data_removed": false, "error": null, "id": "ocrzvjtbkhx63lko6nhgngpnwu", "input": { "image": "https://replicate.delivery/pbxt/KaiB8hCLgJ9ctW0OdEXil1VN38WexVpnNVm5N3XeTuYxsNvR/Screenshot%202024-03-16%20at%2019.48.23.png", "prompt": "How would it look like with colors inverted", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 7.5, "num_inference_steps": 100, "image_guidance_scale": 1.5 }, "logs": "Using seed: 60851\n 0%| | 0/100 [00:00<?, ?it/s]\n 1%| | 1/100 [00:00<00:37, 2.68it/s]\n 2%|▏ | 2/100 [00:00<00:33, 2.96it/s]\n 3%|▎ | 3/100 [00:01<00:36, 2.67it/s]\n 4%|▍ | 4/100 [00:01<00:37, 2.55it/s]\n 5%|▌ | 5/100 [00:01<00:38, 2.49it/s]\n 6%|▌ | 6/100 [00:02<00:38, 2.45it/s]\n 7%|▋ | 7/100 [00:02<00:38, 2.43it/s]\n 8%|▊ | 8/100 [00:03<00:38, 2.41it/s]\n 9%|▉ | 9/100 [00:03<00:37, 2.40it/s]\n 10%|█ | 10/100 [00:04<00:37, 2.40it/s]\n 11%|█ | 11/100 [00:04<00:37, 2.39it/s]\n 12%|█▏ | 12/100 [00:04<00:36, 2.39it/s]\n 13%|█▎ | 13/100 [00:05<00:36, 2.38it/s]\n 14%|█▍ | 14/100 [00:05<00:36, 2.38it/s]\n 15%|█▌ | 15/100 [00:06<00:35, 2.38it/s]\n 16%|█▌ | 16/100 [00:06<00:35, 2.38it/s]\n 17%|█▋ | 17/100 [00:06<00:34, 2.38it/s]\n 18%|█▊ | 18/100 [00:07<00:34, 2.38it/s]\n 19%|█▉ | 19/100 [00:07<00:34, 2.38it/s]\n 20%|██ | 20/100 [00:08<00:33, 2.38it/s]\n 21%|██ | 21/100 [00:08<00:33, 2.37it/s]\n 22%|██▏ | 22/100 [00:09<00:32, 2.37it/s]\n 23%|██▎ | 23/100 [00:09<00:32, 2.38it/s]\n 24%|██▍ | 24/100 [00:09<00:31, 2.38it/s]\n 25%|██▌ | 25/100 [00:10<00:31, 2.39it/s]\n 26%|██▌ | 26/100 [00:10<00:30, 2.39it/s]\n 27%|██▋ | 27/100 [00:11<00:30, 2.39it/s]\n 28%|██▊ | 28/100 [00:11<00:30, 2.39it/s]\n 29%|██▉ | 29/100 [00:12<00:29, 2.39it/s]\n 30%|███ | 30/100 [00:12<00:29, 2.39it/s]\n 31%|███ | 31/100 [00:12<00:28, 2.39it/s]\n 32%|███▏ | 32/100 [00:13<00:28, 2.39it/s]\n 33%|███▎ | 33/100 [00:13<00:28, 2.39it/s]\n 34%|███▍ | 34/100 [00:14<00:27, 2.39it/s]\n 35%|███▌ | 35/100 [00:14<00:27, 2.38it/s]\n 36%|███▌ | 36/100 [00:14<00:26, 2.38it/s]\n 37%|███▋ | 37/100 [00:15<00:26, 2.38it/s]\n 38%|███▊ | 38/100 [00:15<00:25, 2.38it/s]\n 39%|███▉ | 39/100 [00:16<00:25, 2.38it/s]\n 40%|████ | 40/100 [00:16<00:25, 2.38it/s]\n 41%|████ | 41/100 [00:17<00:24, 2.38it/s]\n 42%|████▏ | 42/100 [00:17<00:24, 2.38it/s]\n 43%|████▎ | 43/100 [00:17<00:23, 2.38it/s]\n 44%|████▍ | 44/100 [00:18<00:23, 2.38it/s]\n 45%|████▌ | 45/100 [00:18<00:23, 2.38it/s]\n 46%|████▌ | 46/100 [00:19<00:22, 2.38it/s]\n 47%|████▋ | 47/100 [00:19<00:22, 2.38it/s]\n 48%|████▊ | 48/100 [00:19<00:21, 2.38it/s]\n 49%|████▉ | 49/100 [00:20<00:21, 2.38it/s]\n 50%|█████ | 50/100 [00:20<00:21, 2.38it/s]\n 51%|█████ | 51/100 [00:21<00:20, 2.38it/s]\n 52%|█████▏ | 52/100 [00:21<00:20, 2.38it/s]\n 53%|█████▎ | 53/100 [00:22<00:19, 2.38it/s]\n 54%|█████▍ | 54/100 [00:22<00:19, 2.38it/s]\n 55%|█████▌ | 55/100 [00:22<00:18, 2.38it/s]\n 56%|█████▌ | 56/100 [00:23<00:18, 2.38it/s]\n 57%|█████▋ | 57/100 [00:23<00:18, 2.38it/s]\n 58%|█████▊ | 58/100 [00:24<00:17, 2.38it/s]\n 59%|█████▉ | 59/100 [00:24<00:17, 2.38it/s]\n 60%|██████ | 60/100 [00:25<00:16, 2.38it/s]\n 61%|██████ | 61/100 [00:25<00:16, 2.38it/s]\n 62%|██████▏ | 62/100 [00:25<00:15, 2.38it/s]\n 63%|██████▎ | 63/100 [00:26<00:15, 2.38it/s]\n 64%|██████▍ | 64/100 [00:26<00:15, 2.38it/s]\n 65%|██████▌ | 65/100 [00:27<00:14, 2.38it/s]\n 66%|██████▌ | 66/100 [00:27<00:14, 2.38it/s]\n 67%|██████▋ | 67/100 [00:27<00:13, 2.38it/s]\n 68%|██████▊ | 68/100 [00:28<00:13, 2.38it/s]\n 69%|██████▉ | 69/100 [00:28<00:13, 2.38it/s]\n 70%|███████ | 70/100 [00:29<00:12, 2.38it/s]\n 71%|███████ | 71/100 [00:29<00:12, 2.38it/s]\n 72%|███████▏ | 72/100 [00:30<00:11, 2.37it/s]\n 73%|███████▎ | 73/100 [00:30<00:11, 2.37it/s]\n 74%|███████▍ | 74/100 [00:30<00:10, 2.37it/s]\n 75%|███████▌ | 75/100 [00:31<00:10, 2.37it/s]\n 76%|███████▌ | 76/100 [00:31<00:10, 2.37it/s]\n 77%|███████▋ | 77/100 [00:32<00:09, 2.37it/s]\n 78%|███████▊ | 78/100 [00:32<00:09, 2.37it/s]\n 79%|███████▉ | 79/100 [00:33<00:08, 2.37it/s]\n 80%|████████ | 80/100 [00:33<00:08, 2.37it/s]\n 81%|████████ | 81/100 [00:33<00:08, 2.37it/s]\n 82%|████████▏ | 82/100 [00:34<00:07, 2.37it/s]\n 83%|████████▎ | 83/100 [00:34<00:07, 2.37it/s]\n 84%|████████▍ | 84/100 [00:35<00:06, 2.37it/s]\n 85%|████████▌ | 85/100 [00:35<00:06, 2.37it/s]\n 86%|████████▌ | 86/100 [00:35<00:05, 2.37it/s]\n 87%|████████▋ | 87/100 [00:36<00:05, 2.37it/s]\n 88%|████████▊ | 88/100 [00:36<00:05, 2.37it/s]\n 89%|████████▉ | 89/100 [00:37<00:04, 2.37it/s]\n 90%|█████████ | 90/100 [00:37<00:04, 2.37it/s]\n 91%|█████████ | 91/100 [00:38<00:03, 2.37it/s]\n 92%|█████████▏| 92/100 [00:38<00:03, 2.36it/s]\n 93%|█████████▎| 93/100 [00:38<00:02, 2.37it/s]\n 94%|█████████▍| 94/100 [00:39<00:02, 2.37it/s]\n 95%|█████████▌| 95/100 [00:39<00:02, 2.37it/s]\n 96%|█████████▌| 96/100 [00:40<00:01, 2.37it/s]\n 97%|█████████▋| 97/100 [00:40<00:01, 2.37it/s]\n 98%|█████████▊| 98/100 [00:41<00:00, 2.37it/s]\n 99%|█████████▉| 99/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.37it/s]\n100%|██████████| 100/100 [00:41<00:00, 2.39it/s]", "metrics": { "predict_time": 43.983114, "total_time": 44.000301 }, "output": [ "https://replicate.delivery/pbxt/6zIla1sp9W4UOdXevsujmeZvM7przarPTk1qmyNXto6SWeClA/out-0.png" ], "started_at": "2024-03-18T12:28:22.544029Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ocrzvjtbkhx63lko6nhgngpnwu", "cancel": "https://api.replicate.com/v1/predictions/ocrzvjtbkhx63lko6nhgngpnwu/cancel" }, "version": "4bff1aa0065ded886ff4c853e97df9755e70c0589ef8638ff6717044fc70c22a" }Generated inUsing seed: 60851 0%| | 0/100 [00:00<?, ?it/s] 1%| | 1/100 [00:00<00:37, 2.68it/s] 2%|▏ | 2/100 [00:00<00:33, 2.96it/s] 3%|▎ | 3/100 [00:01<00:36, 2.67it/s] 4%|▍ | 4/100 [00:01<00:37, 2.55it/s] 5%|▌ | 5/100 [00:01<00:38, 2.49it/s] 6%|▌ | 6/100 [00:02<00:38, 2.45it/s] 7%|▋ | 7/100 [00:02<00:38, 2.43it/s] 8%|▊ | 8/100 [00:03<00:38, 2.41it/s] 9%|▉ | 9/100 [00:03<00:37, 2.40it/s] 10%|█ | 10/100 [00:04<00:37, 2.40it/s] 11%|█ | 11/100 [00:04<00:37, 2.39it/s] 12%|█▏ | 12/100 [00:04<00:36, 2.39it/s] 13%|█▎ | 13/100 [00:05<00:36, 2.38it/s] 14%|█▍ | 14/100 [00:05<00:36, 2.38it/s] 15%|█▌ | 15/100 [00:06<00:35, 2.38it/s] 16%|█▌ | 16/100 [00:06<00:35, 2.38it/s] 17%|█▋ | 17/100 [00:06<00:34, 2.38it/s] 18%|█▊ | 18/100 [00:07<00:34, 2.38it/s] 19%|█▉ | 19/100 [00:07<00:34, 2.38it/s] 20%|██ | 20/100 [00:08<00:33, 2.38it/s] 21%|██ | 21/100 [00:08<00:33, 2.37it/s] 22%|██▏ | 22/100 [00:09<00:32, 2.37it/s] 23%|██▎ | 23/100 [00:09<00:32, 2.38it/s] 24%|██▍ | 24/100 [00:09<00:31, 2.38it/s] 25%|██▌ | 25/100 [00:10<00:31, 2.39it/s] 26%|██▌ | 26/100 [00:10<00:30, 2.39it/s] 27%|██▋ | 27/100 [00:11<00:30, 2.39it/s] 28%|██▊ | 28/100 [00:11<00:30, 2.39it/s] 29%|██▉ | 29/100 [00:12<00:29, 2.39it/s] 30%|███ | 30/100 [00:12<00:29, 2.39it/s] 31%|███ | 31/100 [00:12<00:28, 2.39it/s] 32%|███▏ | 32/100 [00:13<00:28, 2.39it/s] 33%|███▎ | 33/100 [00:13<00:28, 2.39it/s] 34%|███▍ | 34/100 [00:14<00:27, 2.39it/s] 35%|███▌ | 35/100 [00:14<00:27, 2.38it/s] 36%|███▌ | 36/100 [00:14<00:26, 2.38it/s] 37%|███▋ | 37/100 [00:15<00:26, 2.38it/s] 38%|███▊ | 38/100 [00:15<00:25, 2.38it/s] 39%|███▉ | 39/100 [00:16<00:25, 2.38it/s] 40%|████ | 40/100 [00:16<00:25, 2.38it/s] 41%|████ | 41/100 [00:17<00:24, 2.38it/s] 42%|████▏ | 42/100 [00:17<00:24, 2.38it/s] 43%|████▎ | 43/100 [00:17<00:23, 2.38it/s] 44%|████▍ | 44/100 [00:18<00:23, 2.38it/s] 45%|████▌ | 45/100 [00:18<00:23, 2.38it/s] 46%|████▌ | 46/100 [00:19<00:22, 2.38it/s] 47%|████▋ | 47/100 [00:19<00:22, 2.38it/s] 48%|████▊ | 48/100 [00:19<00:21, 2.38it/s] 49%|████▉ | 49/100 [00:20<00:21, 2.38it/s] 50%|█████ | 50/100 [00:20<00:21, 2.38it/s] 51%|█████ | 51/100 [00:21<00:20, 2.38it/s] 52%|█████▏ | 52/100 [00:21<00:20, 2.38it/s] 53%|█████▎ | 53/100 [00:22<00:19, 2.38it/s] 54%|█████▍ | 54/100 [00:22<00:19, 2.38it/s] 55%|█████▌ | 55/100 [00:22<00:18, 2.38it/s] 56%|█████▌ | 56/100 [00:23<00:18, 2.38it/s] 57%|█████▋ | 57/100 [00:23<00:18, 2.38it/s] 58%|█████▊ | 58/100 [00:24<00:17, 2.38it/s] 59%|█████▉ | 59/100 [00:24<00:17, 2.38it/s] 60%|██████ | 60/100 [00:25<00:16, 2.38it/s] 61%|██████ | 61/100 [00:25<00:16, 2.38it/s] 62%|██████▏ | 62/100 [00:25<00:15, 2.38it/s] 63%|██████▎ | 63/100 [00:26<00:15, 2.38it/s] 64%|██████▍ | 64/100 [00:26<00:15, 2.38it/s] 65%|██████▌ | 65/100 [00:27<00:14, 2.38it/s] 66%|██████▌ | 66/100 [00:27<00:14, 2.38it/s] 67%|██████▋ | 67/100 [00:27<00:13, 2.38it/s] 68%|██████▊ | 68/100 [00:28<00:13, 2.38it/s] 69%|██████▉ | 69/100 [00:28<00:13, 2.38it/s] 70%|███████ | 70/100 [00:29<00:12, 2.38it/s] 71%|███████ | 71/100 [00:29<00:12, 2.38it/s] 72%|███████▏ | 72/100 [00:30<00:11, 2.37it/s] 73%|███████▎ | 73/100 [00:30<00:11, 2.37it/s] 74%|███████▍ | 74/100 [00:30<00:10, 2.37it/s] 75%|███████▌ | 75/100 [00:31<00:10, 2.37it/s] 76%|███████▌ | 76/100 [00:31<00:10, 2.37it/s] 77%|███████▋ | 77/100 [00:32<00:09, 2.37it/s] 78%|███████▊ | 78/100 [00:32<00:09, 2.37it/s] 79%|███████▉ | 79/100 [00:33<00:08, 2.37it/s] 80%|████████ | 80/100 [00:33<00:08, 2.37it/s] 81%|████████ | 81/100 [00:33<00:08, 2.37it/s] 82%|████████▏ | 82/100 [00:34<00:07, 2.37it/s] 83%|████████▎ | 83/100 [00:34<00:07, 2.37it/s] 84%|████████▍ | 84/100 [00:35<00:06, 2.37it/s] 85%|████████▌ | 85/100 [00:35<00:06, 2.37it/s] 86%|████████▌ | 86/100 [00:35<00:05, 2.37it/s] 87%|████████▋ | 87/100 [00:36<00:05, 2.37it/s] 88%|████████▊ | 88/100 [00:36<00:05, 2.37it/s] 89%|████████▉ | 89/100 [00:37<00:04, 2.37it/s] 90%|█████████ | 90/100 [00:37<00:04, 2.37it/s] 91%|█████████ | 91/100 [00:38<00:03, 2.37it/s] 92%|█████████▏| 92/100 [00:38<00:03, 2.36it/s] 93%|█████████▎| 93/100 [00:38<00:02, 2.37it/s] 94%|█████████▍| 94/100 [00:39<00:02, 2.37it/s] 95%|█████████▌| 95/100 [00:39<00:02, 2.37it/s] 96%|█████████▌| 96/100 [00:40<00:01, 2.37it/s] 97%|█████████▋| 97/100 [00:40<00:01, 2.37it/s] 98%|█████████▊| 98/100 [00:41<00:00, 2.37it/s] 99%|█████████▉| 99/100 [00:41<00:00, 2.37it/s] 100%|██████████| 100/100 [00:41<00:00, 2.37it/s] 100%|██████████| 100/100 [00:41<00:00, 2.39it/s]
Want to make some of these yourself?
Run this model