remodela-ai / virtual_staging_iii
- Public
- 452 runs
-
L40S
- Paper
Prediction
remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5ID6gq6ss13snrgj0cjr88tpxz3mcStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 0
- prompt
- scandinavian
- condition_scale
- 0.5
- negative_prompt
- low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- num_inference_steps
- 50
{ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", { input: { seed: 0, image: "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", prompt: "scandinavian", condition_scale: 0.5, negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", 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
Import the client:import replicate
Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", input={ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "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": "2024-10-25T05:08:06.006462Z", "created_at": "2024-10-25T05:05:56.173000Z", "data_removed": false, "error": null, "id": "6gq6ss13snrgj0cjr88tpxz3mc", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }, "logs": "Using seed: 32760\nOriginal width:3000, height:2155\nAspect Ratio: 1.39\nnew_width:1152, new_height:832\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:02<01:50, 2.25s/it]\n 4%|▍ | 2/50 [00:02<00:52, 1.09s/it]\n 6%|▌ | 3/50 [00:02<00:33, 1.39it/s]\n 8%|▊ | 4/50 [00:03<00:25, 1.84it/s]\n 10%|█ | 5/50 [00:03<00:20, 2.23it/s]\n 12%|█▏ | 6/50 [00:03<00:17, 2.55it/s]\n 14%|█▍ | 7/50 [00:03<00:15, 2.82it/s]\n 16%|█▌ | 8/50 [00:04<00:13, 3.03it/s]\n 18%|█▊ | 9/50 [00:04<00:12, 3.18it/s]\n 20%|██ | 10/50 [00:04<00:12, 3.30it/s]\n 22%|██▏ | 11/50 [00:05<00:11, 3.39it/s]\n 24%|██▍ | 12/50 [00:05<00:11, 3.44it/s]\n 26%|██▌ | 13/50 [00:05<00:10, 3.49it/s]\n 28%|██▊ | 14/50 [00:05<00:10, 3.52it/s]\n 30%|███ | 15/50 [00:06<00:09, 3.54it/s]\n 32%|███▏ | 16/50 [00:06<00:09, 3.55it/s]\n 34%|███▍ | 17/50 [00:06<00:09, 3.56it/s]\n 36%|███▌ | 18/50 [00:06<00:08, 3.57it/s]\n 38%|███▊ | 19/50 [00:07<00:08, 3.58it/s]\n 40%|████ | 20/50 [00:07<00:08, 3.58it/s]\n 42%|████▏ | 21/50 [00:07<00:08, 3.58it/s]\n 44%|████▍ | 22/50 [00:08<00:07, 3.58it/s]\n 46%|████▌ | 23/50 [00:08<00:07, 3.58it/s]\n 48%|████▊ | 24/50 [00:08<00:07, 3.57it/s]\n 50%|█████ | 25/50 [00:08<00:06, 3.58it/s]\n 52%|█████▏ | 26/50 [00:09<00:06, 3.57it/s]\n 54%|█████▍ | 27/50 [00:09<00:06, 3.57it/s]\n 56%|█████▌ | 28/50 [00:09<00:06, 3.57it/s]\n 58%|█████▊ | 29/50 [00:10<00:05, 3.57it/s]\n 60%|██████ | 30/50 [00:10<00:05, 3.57it/s]\n 62%|██████▏ | 31/50 [00:10<00:05, 3.57it/s]\n 64%|██████▍ | 32/50 [00:10<00:05, 3.57it/s]\n 66%|██████▌ | 33/50 [00:11<00:04, 3.57it/s]\n 68%|██████▊ | 34/50 [00:11<00:04, 3.57it/s]\n 70%|███████ | 35/50 [00:11<00:04, 3.57it/s]\n 72%|███████▏ | 36/50 [00:12<00:03, 3.57it/s]\n 74%|███████▍ | 37/50 [00:12<00:03, 3.57it/s]\n 76%|███████▌ | 38/50 [00:12<00:03, 3.57it/s]\n 78%|███████▊ | 39/50 [00:12<00:03, 3.57it/s]\n 80%|████████ | 40/50 [00:13<00:02, 3.57it/s]\n 82%|████████▏ | 41/50 [00:13<00:02, 3.57it/s]\n 84%|████████▍ | 42/50 [00:13<00:02, 3.57it/s]\n 86%|████████▌ | 43/50 [00:13<00:01, 3.57it/s]\n 88%|████████▊ | 44/50 [00:14<00:01, 3.57it/s]\n 90%|█████████ | 45/50 [00:14<00:01, 3.57it/s]\n 92%|█████████▏| 46/50 [00:14<00:01, 3.57it/s]\n 94%|█████████▍| 47/50 [00:15<00:00, 3.57it/s]\n 96%|█████████▌| 48/50 [00:15<00:00, 3.57it/s]\n 98%|█████████▊| 49/50 [00:15<00:00, 3.57it/s]\n100%|██████████| 50/50 [00:15<00:00, 3.57it/s]\n100%|██████████| 50/50 [00:15<00:00, 3.14it/s]", "metrics": { "predict_time": 19.543447828, "total_time": 129.833462 }, "output": "https://replicate.delivery/pbxt/RxleKE1VjDRrAaj6sfWnsItw8USbKImZAY3hzuf43FgqNbUnA/output.png", "started_at": "2024-10-25T05:07:46.463014Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6gq6ss13snrgj0cjr88tpxz3mc", "cancel": "https://api.replicate.com/v1/predictions/6gq6ss13snrgj0cjr88tpxz3mc/cancel" }, "version": "fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5" }
Generated inUsing seed: 32760 Original width:3000, height:2155 Aspect Ratio: 1.39 new_width:1152, new_height:832 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:50, 2.25s/it] 4%|▍ | 2/50 [00:02<00:52, 1.09s/it] 6%|▌ | 3/50 [00:02<00:33, 1.39it/s] 8%|▊ | 4/50 [00:03<00:25, 1.84it/s] 10%|█ | 5/50 [00:03<00:20, 2.23it/s] 12%|█▏ | 6/50 [00:03<00:17, 2.55it/s] 14%|█▍ | 7/50 [00:03<00:15, 2.82it/s] 16%|█▌ | 8/50 [00:04<00:13, 3.03it/s] 18%|█▊ | 9/50 [00:04<00:12, 3.18it/s] 20%|██ | 10/50 [00:04<00:12, 3.30it/s] 22%|██▏ | 11/50 [00:05<00:11, 3.39it/s] 24%|██▍ | 12/50 [00:05<00:11, 3.44it/s] 26%|██▌ | 13/50 [00:05<00:10, 3.49it/s] 28%|██▊ | 14/50 [00:05<00:10, 3.52it/s] 30%|███ | 15/50 [00:06<00:09, 3.54it/s] 32%|███▏ | 16/50 [00:06<00:09, 3.55it/s] 34%|███▍ | 17/50 [00:06<00:09, 3.56it/s] 36%|███▌ | 18/50 [00:06<00:08, 3.57it/s] 38%|███▊ | 19/50 [00:07<00:08, 3.58it/s] 40%|████ | 20/50 [00:07<00:08, 3.58it/s] 42%|████▏ | 21/50 [00:07<00:08, 3.58it/s] 44%|████▍ | 22/50 [00:08<00:07, 3.58it/s] 46%|████▌ | 23/50 [00:08<00:07, 3.58it/s] 48%|████▊ | 24/50 [00:08<00:07, 3.57it/s] 50%|█████ | 25/50 [00:08<00:06, 3.58it/s] 52%|█████▏ | 26/50 [00:09<00:06, 3.57it/s] 54%|█████▍ | 27/50 [00:09<00:06, 3.57it/s] 56%|█████▌ | 28/50 [00:09<00:06, 3.57it/s] 58%|█████▊ | 29/50 [00:10<00:05, 3.57it/s] 60%|██████ | 30/50 [00:10<00:05, 3.57it/s] 62%|██████▏ | 31/50 [00:10<00:05, 3.57it/s] 64%|██████▍ | 32/50 [00:10<00:05, 3.57it/s] 66%|██████▌ | 33/50 [00:11<00:04, 3.57it/s] 68%|██████▊ | 34/50 [00:11<00:04, 3.57it/s] 70%|███████ | 35/50 [00:11<00:04, 3.57it/s] 72%|███████▏ | 36/50 [00:12<00:03, 3.57it/s] 74%|███████▍ | 37/50 [00:12<00:03, 3.57it/s] 76%|███████▌ | 38/50 [00:12<00:03, 3.57it/s] 78%|███████▊ | 39/50 [00:12<00:03, 3.57it/s] 80%|████████ | 40/50 [00:13<00:02, 3.57it/s] 82%|████████▏ | 41/50 [00:13<00:02, 3.57it/s] 84%|████████▍ | 42/50 [00:13<00:02, 3.57it/s] 86%|████████▌ | 43/50 [00:13<00:01, 3.57it/s] 88%|████████▊ | 44/50 [00:14<00:01, 3.57it/s] 90%|█████████ | 45/50 [00:14<00:01, 3.57it/s] 92%|█████████▏| 46/50 [00:14<00:01, 3.57it/s] 94%|█████████▍| 47/50 [00:15<00:00, 3.57it/s] 96%|█████████▌| 48/50 [00:15<00:00, 3.57it/s] 98%|█████████▊| 49/50 [00:15<00:00, 3.57it/s] 100%|██████████| 50/50 [00:15<00:00, 3.57it/s] 100%|██████████| 50/50 [00:15<00:00, 3.14it/s]
Prediction
remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5IDdpkrc1mkr9rgj0cjr89r6z00s8StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 0
- prompt
- midCenturyModern
- condition_scale
- 0.5
- negative_prompt
- low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- num_inference_steps
- 50
{ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr34HOwUqvKvzDsRf42EJQgcGDNBL2wMoOFoy7sQbVI7Q2tW/demo1.jpg", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", { input: { seed: 0, image: "https://replicate.delivery/pbxt/Lr34HOwUqvKvzDsRf42EJQgcGDNBL2wMoOFoy7sQbVI7Q2tW/demo1.jpg", prompt: "midCenturyModern", condition_scale: 0.5, negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", 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
Import the client:import replicate
Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", input={ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr34HOwUqvKvzDsRf42EJQgcGDNBL2wMoOFoy7sQbVI7Q2tW/demo1.jpg", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr34HOwUqvKvzDsRf42EJQgcGDNBL2wMoOFoy7sQbVI7Q2tW/demo1.jpg", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "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": "2024-10-25T05:08:51.321578Z", "created_at": "2024-10-25T05:08:35.906000Z", "data_removed": false, "error": null, "id": "dpkrc1mkr9rgj0cjr89r6z00s8", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr34HOwUqvKvzDsRf42EJQgcGDNBL2wMoOFoy7sQbVI7Q2tW/demo1.jpg", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }, "logs": "Using seed: 48100\nOriginal width:3000, height:2155\nAspect Ratio: 1.39\nnew_width:1152, new_height:832\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.62it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.61it/s]\n 6%|▌ | 3/50 [00:00<00:13, 3.60it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.58it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.58it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.58it/s]\n 14%|█▍ | 7/50 [00:01<00:12, 3.57it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.57it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.57it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.57it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.57it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.57it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.57it/s]\n 28%|██▊ | 14/50 [00:03<00:10, 3.56it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.56it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.56it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.56it/s]\n 36%|███▌ | 18/50 [00:05<00:08, 3.57it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.58it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.58it/s]\n 42%|████▏ | 21/50 [00:05<00:08, 3.58it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.58it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.59it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.59it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.59it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.59it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.58it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.58it/s]\n 58%|█████▊ | 29/50 [00:08<00:05, 3.58it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.58it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.58it/s]\n 64%|██████▍ | 32/50 [00:08<00:05, 3.58it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.58it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.58it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.58it/s]\n 72%|███████▏ | 36/50 [00:10<00:03, 3.58it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.58it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.58it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.58it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.58it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.58it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.58it/s]\n 86%|████████▌ | 43/50 [00:12<00:01, 3.58it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.58it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.58it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.58it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.58it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.58it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.58it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.58it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.58it/s]", "metrics": { "predict_time": 15.406222006, "total_time": 15.415578 }, "output": "https://replicate.delivery/pbxt/KMRcIABaeFWZeUsVsxxypfc9wmsG0u3Hgb3lwrOtecgJesRdC/output.png", "started_at": "2024-10-25T05:08:35.915356Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dpkrc1mkr9rgj0cjr89r6z00s8", "cancel": "https://api.replicate.com/v1/predictions/dpkrc1mkr9rgj0cjr89r6z00s8/cancel" }, "version": "fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5" }
Generated inUsing seed: 48100 Original width:3000, height:2155 Aspect Ratio: 1.39 new_width:1152, new_height:832 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.62it/s] 4%|▍ | 2/50 [00:00<00:13, 3.61it/s] 6%|▌ | 3/50 [00:00<00:13, 3.60it/s] 8%|▊ | 4/50 [00:01<00:12, 3.58it/s] 10%|█ | 5/50 [00:01<00:12, 3.58it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.58it/s] 14%|█▍ | 7/50 [00:01<00:12, 3.57it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.57it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.57it/s] 20%|██ | 10/50 [00:02<00:11, 3.57it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.57it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.57it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.57it/s] 28%|██▊ | 14/50 [00:03<00:10, 3.56it/s] 30%|███ | 15/50 [00:04<00:09, 3.56it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.56it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.56it/s] 36%|███▌ | 18/50 [00:05<00:08, 3.57it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.58it/s] 40%|████ | 20/50 [00:05<00:08, 3.58it/s] 42%|████▏ | 21/50 [00:05<00:08, 3.58it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.58it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.59it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.59it/s] 50%|█████ | 25/50 [00:06<00:06, 3.59it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.59it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.58it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.58it/s] 58%|█████▊ | 29/50 [00:08<00:05, 3.58it/s] 60%|██████ | 30/50 [00:08<00:05, 3.58it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.58it/s] 64%|██████▍ | 32/50 [00:08<00:05, 3.58it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.58it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.58it/s] 70%|███████ | 35/50 [00:09<00:04, 3.58it/s] 72%|███████▏ | 36/50 [00:10<00:03, 3.58it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.58it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.58it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.58it/s] 80%|████████ | 40/50 [00:11<00:02, 3.58it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.58it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.58it/s] 86%|████████▌ | 43/50 [00:12<00:01, 3.58it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.58it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.58it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.58it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.58it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.58it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.58it/s] 100%|██████████| 50/50 [00:13<00:00, 3.58it/s] 100%|██████████| 50/50 [00:13<00:00, 3.58it/s]
Prediction
remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5IDkx34pef17hrgp0cjr8b97kkbmwStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 0
- prompt
- midCenturyModern
- condition_scale
- 0.5
- negative_prompt
- low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- num_inference_steps
- 50
{ "seed": 0, "image": "https://replicate.delivery/pbxt/IJZOELWrncBcjdE1s5Ko8ou35ZOxjNxDqMf0BhoRUAtv76u4/room.png", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", { input: { seed: 0, image: "https://replicate.delivery/pbxt/IJZOELWrncBcjdE1s5Ko8ou35ZOxjNxDqMf0BhoRUAtv76u4/room.png", prompt: "midCenturyModern", condition_scale: 0.5, negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", 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
Import the client:import replicate
Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", input={ "seed": 0, "image": "https://replicate.delivery/pbxt/IJZOELWrncBcjdE1s5Ko8ou35ZOxjNxDqMf0BhoRUAtv76u4/room.png", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/IJZOELWrncBcjdE1s5Ko8ou35ZOxjNxDqMf0BhoRUAtv76u4/room.png", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "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": "2024-10-25T05:14:38.525915Z", "created_at": "2024-10-25T05:12:12.348000Z", "data_removed": false, "error": null, "id": "kx34pef17hrgp0cjr8b97kkbmw", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/IJZOELWrncBcjdE1s5Ko8ou35ZOxjNxDqMf0BhoRUAtv76u4/room.png", "prompt": "midCenturyModern", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }, "logs": "Using seed: 24475\nOriginal width:564, height:752\nAspect Ratio: 0.75\nnew_width:832, new_height:1152\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<01:22, 1.69s/it]\n 4%|▍ | 2/50 [00:01<00:41, 1.17it/s]\n 6%|▌ | 3/50 [00:02<00:27, 1.69it/s]\n 8%|▊ | 4/50 [00:02<00:21, 2.14it/s]\n 10%|█ | 5/50 [00:02<00:17, 2.50it/s]\n 12%|█▏ | 6/50 [00:03<00:15, 2.80it/s]\n 14%|█▍ | 7/50 [00:03<00:14, 3.02it/s]\n 16%|█▌ | 8/50 [00:03<00:13, 3.19it/s]\n 18%|█▊ | 9/50 [00:03<00:12, 3.30it/s]\n 20%|██ | 10/50 [00:04<00:11, 3.39it/s]\n 22%|██▏ | 11/50 [00:04<00:11, 3.46it/s]\n 24%|██▍ | 12/50 [00:04<00:10, 3.50it/s]\n 26%|██▌ | 13/50 [00:05<00:10, 3.53it/s]\n 28%|██▊ | 14/50 [00:05<00:10, 3.55it/s]\n 30%|███ | 15/50 [00:05<00:09, 3.57it/s]\n 32%|███▏ | 16/50 [00:05<00:09, 3.57it/s]\n 34%|███▍ | 17/50 [00:06<00:09, 3.58it/s]\n 36%|███▌ | 18/50 [00:06<00:08, 3.59it/s]\n 38%|███▊ | 19/50 [00:06<00:08, 3.59it/s]\n 40%|████ | 20/50 [00:06<00:08, 3.59it/s]\n 42%|████▏ | 21/50 [00:07<00:08, 3.60it/s]\n 44%|████▍ | 22/50 [00:07<00:07, 3.60it/s]\n 46%|████▌ | 23/50 [00:07<00:07, 3.60it/s]\n 48%|████▊ | 24/50 [00:08<00:07, 3.59it/s]\n 50%|█████ | 25/50 [00:08<00:06, 3.60it/s]\n 52%|█████▏ | 26/50 [00:08<00:06, 3.59it/s]\n 54%|█████▍ | 27/50 [00:08<00:06, 3.59it/s]\n 56%|█████▌ | 28/50 [00:09<00:06, 3.59it/s]\n 58%|█████▊ | 29/50 [00:09<00:05, 3.59it/s]\n 60%|██████ | 30/50 [00:09<00:05, 3.59it/s]\n 62%|██████▏ | 31/50 [00:10<00:05, 3.59it/s]\n 64%|██████▍ | 32/50 [00:10<00:05, 3.59it/s]\n 66%|██████▌ | 33/50 [00:10<00:04, 3.59it/s]\n 68%|██████▊ | 34/50 [00:10<00:04, 3.59it/s]\n 70%|███████ | 35/50 [00:11<00:04, 3.59it/s]\n 72%|███████▏ | 36/50 [00:11<00:03, 3.59it/s]\n 74%|███████▍ | 37/50 [00:11<00:03, 3.59it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.59it/s]\n 78%|███████▊ | 39/50 [00:12<00:03, 3.59it/s]\n 80%|████████ | 40/50 [00:12<00:02, 3.59it/s]\n 82%|████████▏ | 41/50 [00:12<00:02, 3.59it/s]\n 84%|████████▍ | 42/50 [00:13<00:02, 3.59it/s]\n 86%|████████▌ | 43/50 [00:13<00:01, 3.59it/s]\n 88%|████████▊ | 44/50 [00:13<00:01, 3.58it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.58it/s]\n 92%|█████████▏| 46/50 [00:14<00:01, 3.58it/s]\n 94%|█████████▍| 47/50 [00:14<00:00, 3.58it/s]\n 96%|█████████▌| 48/50 [00:14<00:00, 3.58it/s]\n 98%|█████████▊| 49/50 [00:15<00:00, 3.58it/s]\n100%|██████████| 50/50 [00:15<00:00, 3.58it/s]\n100%|██████████| 50/50 [00:15<00:00, 3.26it/s]", "metrics": { "predict_time": 17.960661111, "total_time": 146.177915 }, "output": "https://replicate.delivery/pbxt/nqtUD5jBhQJLCFEKcTifWJikhHnUoeIqrOJQIo47ine7ZbUnA/output.png", "started_at": "2024-10-25T05:14:20.565254Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/kx34pef17hrgp0cjr8b97kkbmw", "cancel": "https://api.replicate.com/v1/predictions/kx34pef17hrgp0cjr8b97kkbmw/cancel" }, "version": "fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5" }
Generated inUsing seed: 24475 Original width:564, height:752 Aspect Ratio: 0.75 new_width:832, new_height:1152 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:22, 1.69s/it] 4%|▍ | 2/50 [00:01<00:41, 1.17it/s] 6%|▌ | 3/50 [00:02<00:27, 1.69it/s] 8%|▊ | 4/50 [00:02<00:21, 2.14it/s] 10%|█ | 5/50 [00:02<00:17, 2.50it/s] 12%|█▏ | 6/50 [00:03<00:15, 2.80it/s] 14%|█▍ | 7/50 [00:03<00:14, 3.02it/s] 16%|█▌ | 8/50 [00:03<00:13, 3.19it/s] 18%|█▊ | 9/50 [00:03<00:12, 3.30it/s] 20%|██ | 10/50 [00:04<00:11, 3.39it/s] 22%|██▏ | 11/50 [00:04<00:11, 3.46it/s] 24%|██▍ | 12/50 [00:04<00:10, 3.50it/s] 26%|██▌ | 13/50 [00:05<00:10, 3.53it/s] 28%|██▊ | 14/50 [00:05<00:10, 3.55it/s] 30%|███ | 15/50 [00:05<00:09, 3.57it/s] 32%|███▏ | 16/50 [00:05<00:09, 3.57it/s] 34%|███▍ | 17/50 [00:06<00:09, 3.58it/s] 36%|███▌ | 18/50 [00:06<00:08, 3.59it/s] 38%|███▊ | 19/50 [00:06<00:08, 3.59it/s] 40%|████ | 20/50 [00:06<00:08, 3.59it/s] 42%|████▏ | 21/50 [00:07<00:08, 3.60it/s] 44%|████▍ | 22/50 [00:07<00:07, 3.60it/s] 46%|████▌ | 23/50 [00:07<00:07, 3.60it/s] 48%|████▊ | 24/50 [00:08<00:07, 3.59it/s] 50%|█████ | 25/50 [00:08<00:06, 3.60it/s] 52%|█████▏ | 26/50 [00:08<00:06, 3.59it/s] 54%|█████▍ | 27/50 [00:08<00:06, 3.59it/s] 56%|█████▌ | 28/50 [00:09<00:06, 3.59it/s] 58%|█████▊ | 29/50 [00:09<00:05, 3.59it/s] 60%|██████ | 30/50 [00:09<00:05, 3.59it/s] 62%|██████▏ | 31/50 [00:10<00:05, 3.59it/s] 64%|██████▍ | 32/50 [00:10<00:05, 3.59it/s] 66%|██████▌ | 33/50 [00:10<00:04, 3.59it/s] 68%|██████▊ | 34/50 [00:10<00:04, 3.59it/s] 70%|███████ | 35/50 [00:11<00:04, 3.59it/s] 72%|███████▏ | 36/50 [00:11<00:03, 3.59it/s] 74%|███████▍ | 37/50 [00:11<00:03, 3.59it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.59it/s] 78%|███████▊ | 39/50 [00:12<00:03, 3.59it/s] 80%|████████ | 40/50 [00:12<00:02, 3.59it/s] 82%|████████▏ | 41/50 [00:12<00:02, 3.59it/s] 84%|████████▍ | 42/50 [00:13<00:02, 3.59it/s] 86%|████████▌ | 43/50 [00:13<00:01, 3.59it/s] 88%|████████▊ | 44/50 [00:13<00:01, 3.58it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.58it/s] 92%|█████████▏| 46/50 [00:14<00:01, 3.58it/s] 94%|█████████▍| 47/50 [00:14<00:00, 3.58it/s] 96%|█████████▌| 48/50 [00:14<00:00, 3.58it/s] 98%|█████████▊| 49/50 [00:15<00:00, 3.58it/s] 100%|██████████| 50/50 [00:15<00:00, 3.58it/s] 100%|██████████| 50/50 [00:15<00:00, 3.26it/s]
Prediction
remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2IDgcbhwfvbadrgj0cjr9brbf8y5mStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 0
- prompt
- scandinavian
- type_room
- livingRoom
- condition_scale
- 0.5
- negative_prompt
- low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- num_inference_steps
- 50
{ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2", { input: { seed: 0, image: "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", prompt: "scandinavian", type_room: "livingRoom", condition_scale: 0.5, negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", 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
Import the client:import replicate
Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2", input={ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "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": "2024-10-25T06:27:13.322949Z", "created_at": "2024-10-25T06:22:42.003000Z", "data_removed": false, "error": null, "id": "gcbhwfvbadrgj0cjr9brbf8y5m", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }, "logs": "Using seed: 46733\nOriginal width:3000, height:2155\nAspect Ratio: 1.39\nnew_width:1152, new_height:832\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:21, 2.28it/s]\n 4%|▍ | 2/50 [00:00<00:16, 2.92it/s]\n 6%|▌ | 3/50 [00:00<00:14, 3.20it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.35it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.44it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.49it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.53it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.55it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.57it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.58it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.58it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.59it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.59it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.59it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.60it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.60it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.60it/s]\n 36%|███▌ | 18/50 [00:05<00:08, 3.60it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.60it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.60it/s]\n 42%|████▏ | 21/50 [00:05<00:08, 3.61it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.61it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.62it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.62it/s]\n 50%|█████ | 25/50 [00:07<00:06, 3.62it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.62it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.62it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.62it/s]\n 58%|█████▊ | 29/50 [00:08<00:05, 3.62it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.62it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.62it/s]\n 64%|██████▍ | 32/50 [00:09<00:04, 3.62it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.62it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.62it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.61it/s]\n 72%|███████▏ | 36/50 [00:10<00:03, 3.61it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.61it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.61it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.61it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.61it/s]\n 86%|████████▌ | 43/50 [00:12<00:01, 3.61it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.61it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.60it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.60it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.60it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.60it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.60it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.60it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.57it/s]", "metrics": { "predict_time": 16.920164591, "total_time": 271.319949 }, "output": "https://replicate.delivery/pbxt/xkinQpmcH8YeQiHVJhKUforDUpjwsjFx5QXSqGfDc2VBidUnA/output.png", "started_at": "2024-10-25T06:26:56.402785Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gcbhwfvbadrgj0cjr9brbf8y5m", "cancel": "https://api.replicate.com/v1/predictions/gcbhwfvbadrgj0cjr9brbf8y5m/cancel" }, "version": "f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2" }
Generated inUsing seed: 46733 Original width:3000, height:2155 Aspect Ratio: 1.39 new_width:1152, new_height:832 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:21, 2.28it/s] 4%|▍ | 2/50 [00:00<00:16, 2.92it/s] 6%|▌ | 3/50 [00:00<00:14, 3.20it/s] 8%|▊ | 4/50 [00:01<00:13, 3.35it/s] 10%|█ | 5/50 [00:01<00:13, 3.44it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.49it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.53it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.55it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.57it/s] 20%|██ | 10/50 [00:02<00:11, 3.58it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.58it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.59it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.59it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.59it/s] 30%|███ | 15/50 [00:04<00:09, 3.60it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.60it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.60it/s] 36%|███▌ | 18/50 [00:05<00:08, 3.60it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.60it/s] 40%|████ | 20/50 [00:05<00:08, 3.60it/s] 42%|████▏ | 21/50 [00:05<00:08, 3.61it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.61it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.62it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.62it/s] 50%|█████ | 25/50 [00:07<00:06, 3.62it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.62it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.62it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.62it/s] 58%|█████▊ | 29/50 [00:08<00:05, 3.62it/s] 60%|██████ | 30/50 [00:08<00:05, 3.62it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.62it/s] 64%|██████▍ | 32/50 [00:09<00:04, 3.62it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.62it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.62it/s] 70%|███████ | 35/50 [00:09<00:04, 3.61it/s] 72%|███████▏ | 36/50 [00:10<00:03, 3.61it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.61it/s] 80%|████████ | 40/50 [00:11<00:02, 3.61it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.61it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.61it/s] 86%|████████▌ | 43/50 [00:12<00:01, 3.61it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.61it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.60it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.60it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.60it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.60it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.60it/s] 100%|██████████| 50/50 [00:14<00:00, 3.60it/s] 100%|██████████| 50/50 [00:14<00:00, 3.57it/s]
Prediction
remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2IDaam53h4p8nrgm0cjr9e8t81y0rStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 0
- prompt
- scandinavian
- type_room
- livingRoom
- condition_scale
- 0.5
- negative_prompt
- low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- num_inference_steps
- 50
{ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr4HtGzqceIREi3uvUijaEflKSVoo7zWSTRMOsKBcKpxvR3q/room.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2", { input: { seed: 0, image: "https://replicate.delivery/pbxt/Lr4HtGzqceIREi3uvUijaEflKSVoo7zWSTRMOsKBcKpxvR3q/room.jpg", prompt: "scandinavian", type_room: "livingRoom", condition_scale: 0.5, negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", 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
Import the client:import replicate
Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2", input={ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr4HtGzqceIREi3uvUijaEflKSVoo7zWSTRMOsKBcKpxvR3q/room.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr4HtGzqceIREi3uvUijaEflKSVoo7zWSTRMOsKBcKpxvR3q/room.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "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": "2024-10-25T06:30:33.897305Z", "created_at": "2024-10-25T06:28:20.677000Z", "data_removed": false, "error": null, "id": "aam53h4p8nrgm0cjr9e8t81y0r", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr4HtGzqceIREi3uvUijaEflKSVoo7zWSTRMOsKBcKpxvR3q/room.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }, "logs": "Using seed: 44497\nOriginal width:1500, height:1000\nAspect Ratio: 1.50\nnew_width:1216, new_height:832\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:34, 1.42it/s]\n 4%|▍ | 2/50 [00:00<00:21, 2.18it/s]\n 6%|▌ | 3/50 [00:01<00:17, 2.63it/s]\n 8%|▊ | 4/50 [00:01<00:15, 2.91it/s]\n 10%|█ | 5/50 [00:01<00:14, 3.09it/s]\n 12%|█▏ | 6/50 [00:02<00:13, 3.21it/s]\n 14%|█▍ | 7/50 [00:02<00:13, 3.28it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.34it/s]\n 18%|█▊ | 9/50 [00:03<00:12, 3.37it/s]\n 20%|██ | 10/50 [00:03<00:11, 3.40it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.42it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.43it/s]\n 26%|██▌ | 13/50 [00:04<00:10, 3.44it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.44it/s]\n 32%|███▏ | 16/50 [00:05<00:09, 3.45it/s]\n 34%|███▍ | 17/50 [00:05<00:09, 3.45it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.45it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.45it/s]\n 40%|████ | 20/50 [00:06<00:08, 3.45it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.45it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.45it/s]\n 46%|████▌ | 23/50 [00:07<00:07, 3.45it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.45it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.45it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.45it/s]\n 54%|█████▍ | 27/50 [00:08<00:06, 3.45it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.45it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.46it/s]\n 60%|██████ | 30/50 [00:09<00:05, 3.46it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.46it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.46it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.47it/s]\n 68%|██████▊ | 34/50 [00:10<00:04, 3.46it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.47it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.47it/s]\n 74%|███████▍ | 37/50 [00:11<00:03, 3.47it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.47it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.46it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.46it/s]\n 82%|████████▏ | 41/50 [00:12<00:02, 3.46it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.46it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.46it/s]\n 88%|████████▊ | 44/50 [00:13<00:01, 3.46it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.46it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.46it/s]\n 94%|█████████▍| 47/50 [00:14<00:00, 3.46it/s]\n 96%|█████████▌| 48/50 [00:14<00:00, 3.46it/s]\n 98%|█████████▊| 49/50 [00:14<00:00, 3.46it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.46it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.36it/s]", "metrics": { "predict_time": 16.612980262, "total_time": 133.220305 }, "output": "https://replicate.delivery/pbxt/SIqyqk6Oz07pJVmarUcifYuBNkvt5vhKTojs27b3Es9EaH1JA/output.png", "started_at": "2024-10-25T06:30:17.284325Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/aam53h4p8nrgm0cjr9e8t81y0r", "cancel": "https://api.replicate.com/v1/predictions/aam53h4p8nrgm0cjr9e8t81y0r/cancel" }, "version": "f4e56752a8fcb4fb0c1cfcbccadcff2dbe68116b138ab52e8f88e97f9e7c09b2" }
Generated inUsing seed: 44497 Original width:1500, height:1000 Aspect Ratio: 1.50 new_width:1216, new_height:832 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:34, 1.42it/s] 4%|▍ | 2/50 [00:00<00:21, 2.18it/s] 6%|▌ | 3/50 [00:01<00:17, 2.63it/s] 8%|▊ | 4/50 [00:01<00:15, 2.91it/s] 10%|█ | 5/50 [00:01<00:14, 3.09it/s] 12%|█▏ | 6/50 [00:02<00:13, 3.21it/s] 14%|█▍ | 7/50 [00:02<00:13, 3.28it/s] 16%|█▌ | 8/50 [00:02<00:12, 3.34it/s] 18%|█▊ | 9/50 [00:03<00:12, 3.37it/s] 20%|██ | 10/50 [00:03<00:11, 3.40it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.42it/s] 24%|██▍ | 12/50 [00:03<00:11, 3.43it/s] 26%|██▌ | 13/50 [00:04<00:10, 3.44it/s] 28%|██▊ | 14/50 [00:04<00:10, 3.44it/s] 30%|███ | 15/50 [00:04<00:10, 3.44it/s] 32%|███▏ | 16/50 [00:05<00:09, 3.45it/s] 34%|███▍ | 17/50 [00:05<00:09, 3.45it/s] 36%|███▌ | 18/50 [00:05<00:09, 3.45it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.45it/s] 40%|████ | 20/50 [00:06<00:08, 3.45it/s] 42%|████▏ | 21/50 [00:06<00:08, 3.45it/s] 44%|████▍ | 22/50 [00:06<00:08, 3.45it/s] 46%|████▌ | 23/50 [00:07<00:07, 3.45it/s] 48%|████▊ | 24/50 [00:07<00:07, 3.45it/s] 50%|█████ | 25/50 [00:07<00:07, 3.45it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.45it/s] 54%|█████▍ | 27/50 [00:08<00:06, 3.45it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.45it/s] 58%|█████▊ | 29/50 [00:08<00:06, 3.46it/s] 60%|██████ | 30/50 [00:09<00:05, 3.46it/s] 62%|██████▏ | 31/50 [00:09<00:05, 3.46it/s] 64%|██████▍ | 32/50 [00:09<00:05, 3.46it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.47it/s] 68%|██████▊ | 34/50 [00:10<00:04, 3.46it/s] 70%|███████ | 35/50 [00:10<00:04, 3.47it/s] 72%|███████▏ | 36/50 [00:10<00:04, 3.47it/s] 74%|███████▍ | 37/50 [00:11<00:03, 3.47it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.47it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.46it/s] 80%|████████ | 40/50 [00:11<00:02, 3.46it/s] 82%|████████▏ | 41/50 [00:12<00:02, 3.46it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.46it/s] 86%|████████▌ | 43/50 [00:12<00:02, 3.46it/s] 88%|████████▊ | 44/50 [00:13<00:01, 3.46it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.46it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.46it/s] 94%|█████████▍| 47/50 [00:14<00:00, 3.46it/s] 96%|█████████▌| 48/50 [00:14<00:00, 3.46it/s] 98%|█████████▊| 49/50 [00:14<00:00, 3.46it/s] 100%|██████████| 50/50 [00:14<00:00, 3.46it/s] 100%|██████████| 50/50 [00:14<00:00, 3.36it/s]
Prediction
remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61ID6wwxrde3nsrgj0cjr9vvagt9prStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- seed
- 0
- prompt
- scandinavian
- type_room
- livingRoom
- condition_scale
- 0.5
- negative_prompt
- low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
- num_inference_steps
- 50
{ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61", { input: { seed: 0, image: "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", prompt: "scandinavian", type_room: "livingRoom", condition_scale: 0.5, negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", num_inference_steps: 50 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", 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
Import the client:import replicate
Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61", input={ "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "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": "2024-10-25T07:02:43.160525Z", "created_at": "2024-10-25T06:58:01.774000Z", "data_removed": false, "error": null, "id": "6wwxrde3nsrgj0cjr9vvagt9pr", "input": { "seed": 0, "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg", "prompt": "scandinavian", "type_room": "livingRoom", "condition_scale": 0.5, "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality", "num_inference_steps": 50 }, "logs": "Using seed: 31872\nOriginal width:3000, height:2155\nAspect Ratio: 1.39\nnew_width:1152, new_height:832\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:34, 1.44it/s]\n 4%|▍ | 2/50 [00:00<00:21, 2.24it/s]\n 6%|▌ | 3/50 [00:01<00:17, 2.72it/s]\n 8%|▊ | 4/50 [00:01<00:15, 3.03it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.22it/s]\n 12%|█▏ | 6/50 [00:02<00:13, 3.35it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.44it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.50it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.54it/s]\n 20%|██ | 10/50 [00:03<00:11, 3.57it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.59it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.61it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.61it/s]\n 28%|██▊ | 14/50 [00:04<00:09, 3.62it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.62it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.63it/s]\n 34%|███▍ | 17/50 [00:05<00:09, 3.62it/s]\n 36%|███▌ | 18/50 [00:05<00:08, 3.63it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.63it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.62it/s]\n 42%|████▏ | 21/50 [00:06<00:07, 3.63it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.63it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.62it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.62it/s]\n 50%|█████ | 25/50 [00:07<00:06, 3.62it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.62it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.62it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.61it/s]\n 58%|█████▊ | 29/50 [00:08<00:05, 3.61it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.61it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.61it/s]\n 64%|██████▍ | 32/50 [00:09<00:04, 3.61it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.61it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.61it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.61it/s]\n 72%|███████▏ | 36/50 [00:10<00:03, 3.61it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.61it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.61it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.61it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.61it/s]\n 86%|████████▌ | 43/50 [00:12<00:01, 3.61it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.60it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.60it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.60it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.60it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.60it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.60it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.60it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.51it/s]", "metrics": { "predict_time": 17.050095375, "total_time": 281.386525 }, "output": "https://replicate.delivery/pbxt/FyeQ9h1CQzWcHy89erf4gp3Cv0xp53fXlyUySVYsOYzHJ9oOB/output.png", "started_at": "2024-10-25T07:02:26.110429Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6wwxrde3nsrgj0cjr9vvagt9pr", "cancel": "https://api.replicate.com/v1/predictions/6wwxrde3nsrgj0cjr9vvagt9pr/cancel" }, "version": "07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61" }
Generated inUsing seed: 31872 Original width:3000, height:2155 Aspect Ratio: 1.39 new_width:1152, new_height:832 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:34, 1.44it/s] 4%|▍ | 2/50 [00:00<00:21, 2.24it/s] 6%|▌ | 3/50 [00:01<00:17, 2.72it/s] 8%|▊ | 4/50 [00:01<00:15, 3.03it/s] 10%|█ | 5/50 [00:01<00:13, 3.22it/s] 12%|█▏ | 6/50 [00:02<00:13, 3.35it/s] 14%|█▍ | 7/50 [00:02<00:12, 3.44it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.50it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.54it/s] 20%|██ | 10/50 [00:03<00:11, 3.57it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.59it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.61it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.61it/s] 28%|██▊ | 14/50 [00:04<00:09, 3.62it/s] 30%|███ | 15/50 [00:04<00:09, 3.62it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.63it/s] 34%|███▍ | 17/50 [00:05<00:09, 3.62it/s] 36%|███▌ | 18/50 [00:05<00:08, 3.63it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.63it/s] 40%|████ | 20/50 [00:05<00:08, 3.62it/s] 42%|████▏ | 21/50 [00:06<00:07, 3.63it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.63it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.62it/s] 48%|████▊ | 24/50 [00:07<00:07, 3.62it/s] 50%|█████ | 25/50 [00:07<00:06, 3.62it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.62it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.62it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.61it/s] 58%|█████▊ | 29/50 [00:08<00:05, 3.61it/s] 60%|██████ | 30/50 [00:08<00:05, 3.61it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.61it/s] 64%|██████▍ | 32/50 [00:09<00:04, 3.61it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.61it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.61it/s] 70%|███████ | 35/50 [00:10<00:04, 3.61it/s] 72%|███████▏ | 36/50 [00:10<00:03, 3.61it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s] 78%|███████▊ | 39/50 [00:11<00:03, 3.61it/s] 80%|████████ | 40/50 [00:11<00:02, 3.61it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.61it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.61it/s] 86%|████████▌ | 43/50 [00:12<00:01, 3.61it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.60it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.60it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.60it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.60it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.60it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.60it/s] 100%|██████████| 50/50 [00:14<00:00, 3.60it/s] 100%|██████████| 50/50 [00:14<00:00, 3.51it/s]
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Run this model