orbin-ahmed / interior
- Public
- 209 runs
-
A100 (80GB)
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDfa88nc1k59rj60ckqmvr04w6g8StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A living room, functional, realistic
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MHl6QGL1cVVrnGTSTPCVqBrCDGK9Or1S9TqeSEahsiLzyB/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MHl6QGL1cVVrnGTSTPCVqBrCDGK9Or1S9TqeSEahsiLzyB/living.jpg", prompt: "A living room, functional, realistic", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MHl6QGL1cVVrnGTSTPCVqBrCDGK9Or1S9TqeSEahsiLzyB/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MHl6QGL1cVVrnGTSTPCVqBrCDGK9Or1S9TqeSEahsiLzyB/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:32:19.581685Z", "created_at": "2024-12-12T23:32:11.690000Z", "data_removed": false, "error": null, "id": "fa88nc1k59rj60ckqmvr04w6g8", "input": { "image": "https://replicate.delivery/pbxt/M8MHl6QGL1cVVrnGTSTPCVqBrCDGK9Or1S9TqeSEahsiLzyB/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.21it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.72it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.35it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.65it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.80it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.88it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.94it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 10.99it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.01it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.02it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.04it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.04it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.04it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.05it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.05it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.05it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.06it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.05it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.05it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.04it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.91it/s]", "metrics": { "predict_time": 7.881753224, "total_time": 7.891685 }, "output": "https://replicate.delivery/yhqm/PmFqV5zrzo44BpwSgPUfOcwdh5E2h0LE8mgQb4dq363BJJ9JA/out_6_1024.png", "started_at": "2024-12-12T23:32:11.699932Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-dvhn3zod63pjgv2ch3pgeszbodltyh3nbr4hsqzbhvwlisakhz4q", "get": "https://api.replicate.com/v1/predictions/fa88nc1k59rj60ckqmvr04w6g8", "cancel": "https://api.replicate.com/v1/predictions/fa88nc1k59rj60ckqmvr04w6g8/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.21it/s] 8%|▊ | 3/40 [00:00<00:03, 9.72it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.35it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.65it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.80it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.88it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.94it/s] 38%|███▊ | 15/40 [00:01<00:02, 10.99it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.01it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.02it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.04it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.04it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.04it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.05it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.05it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.05it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.06it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.05it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.05it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.04it/s] 100%|██████████| 40/40 [00:03<00:00, 10.91it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDgsxcb05gp5rj00ckqmw8dcmcs4StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A bedroom, functional, realistic
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MJIDoklgUu5N254EscEASi0kw78kXJ7jdLinsd7vTc8bTA/bedroom.jpg", "prompt": "A bedroom, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MJIDoklgUu5N254EscEASi0kw78kXJ7jdLinsd7vTc8bTA/bedroom.jpg", prompt: "A bedroom, functional, realistic", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MJIDoklgUu5N254EscEASi0kw78kXJ7jdLinsd7vTc8bTA/bedroom.jpg", "prompt": "A bedroom, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MJIDoklgUu5N254EscEASi0kw78kXJ7jdLinsd7vTc8bTA/bedroom.jpg", "prompt": "A bedroom, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:33:57.165321Z", "created_at": "2024-12-12T23:33:49.361000Z", "data_removed": false, "error": null, "id": "gsxcb05gp5rj00ckqmw8dcmcs4", "input": { "image": "https://replicate.delivery/pbxt/M8MJIDoklgUu5N254EscEASi0kw78kXJ7jdLinsd7vTc8bTA/bedroom.jpg", "prompt": "A bedroom, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.21it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.72it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.35it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.65it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.80it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.88it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.95it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 10.99it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.00it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.02it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.03it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.03it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.04it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.04it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.04it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.04it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.04it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.04it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.04it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.91it/s]", "metrics": { "predict_time": 7.797511567, "total_time": 7.804321 }, "output": "https://replicate.delivery/yhqm/ixY2mfJEMoX2SCI2p6RJ0IubT8k3CChySD4fDhCgzNFlTS6TA/out_6_1024.png", "started_at": "2024-12-12T23:33:49.367810Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-dfeyeagrva62ze6ijvasmsjhpxvwi4vkirvge4vyim6mvixi4mua", "get": "https://api.replicate.com/v1/predictions/gsxcb05gp5rj00ckqmw8dcmcs4", "cancel": "https://api.replicate.com/v1/predictions/gsxcb05gp5rj00ckqmw8dcmcs4/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.21it/s] 8%|▊ | 3/40 [00:00<00:03, 9.72it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.35it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.65it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.80it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.88it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.95it/s] 38%|███▊ | 15/40 [00:01<00:02, 10.99it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.00it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.02it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.03it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.03it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.04it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.04it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.04it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.04it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.04it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.04it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.04it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s] 100%|██████████| 40/40 [00:03<00:00, 10.91it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDpg3ramennxrj00ckqn1skgcbw4StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A kitchen
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MUpTQLY24Ucmqwo3zFNa2VoX6ZbHaGB3a4oo7N4Fdvqk7v/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MUpTQLY24Ucmqwo3zFNa2VoX6ZbHaGB3a4oo7N4Fdvqk7v/scene%20%281%29.jpg", prompt: "A kitchen", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MUpTQLY24Ucmqwo3zFNa2VoX6ZbHaGB3a4oo7N4Fdvqk7v/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MUpTQLY24Ucmqwo3zFNa2VoX6ZbHaGB3a4oo7N4Fdvqk7v/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:46:07.787558Z", "created_at": "2024-12-12T23:45:59.727000Z", "data_removed": false, "error": null, "id": "pg3ramennxrj00ckqn1skgcbw4", "input": { "image": "https://replicate.delivery/pbxt/M8MUpTQLY24Ucmqwo3zFNa2VoX6ZbHaGB3a4oo7N4Fdvqk7v/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.21it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.73it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.38it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.91it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.96it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 11.00it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.02it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.04it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.05it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.05it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.06it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.07it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.07it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.08it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.08it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.93it/s]", "metrics": { "predict_time": 8.051788112, "total_time": 8.060558 }, "output": "https://replicate.delivery/yhqm/fOTEceu14oslikjyeVx4juMrihUnkJFmf3A6uHC2Y7nf3TSfE/out_6_1024.png", "started_at": "2024-12-12T23:45:59.735770Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-xzdpdq7lrhv2hojgrbubkukn4sgmy5tmrtqmydmmyg7mvnxbenoq", "get": "https://api.replicate.com/v1/predictions/pg3ramennxrj00ckqn1skgcbw4", "cancel": "https://api.replicate.com/v1/predictions/pg3ramennxrj00ckqn1skgcbw4/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.21it/s] 8%|▊ | 3/40 [00:00<00:03, 9.73it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.38it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.91it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.96it/s] 38%|███▊ | 15/40 [00:01<00:02, 11.00it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.02it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.04it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.05it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.05it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.06it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.07it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.07it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.08it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.08it/s] 100%|██████████| 40/40 [00:03<00:00, 10.93it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDrdexcg45bnrj40ckqn3t330tf0StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A kitchen
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MYd8HEmAIgiYPYumMqiuLfrO5hTiRrZsymx2dJR0jMxJr0/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MYd8HEmAIgiYPYumMqiuLfrO5hTiRrZsymx2dJR0jMxJr0/kitchen.jpg", prompt: "A kitchen", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MYd8HEmAIgiYPYumMqiuLfrO5hTiRrZsymx2dJR0jMxJr0/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MYd8HEmAIgiYPYumMqiuLfrO5hTiRrZsymx2dJR0jMxJr0/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:50:09.345728Z", "created_at": "2024-12-12T23:50:01.309000Z", "data_removed": false, "error": null, "id": "rdexcg45bnrj40ckqn3t330tf0", "input": { "image": "https://replicate.delivery/pbxt/M8MYd8HEmAIgiYPYumMqiuLfrO5hTiRrZsymx2dJR0jMxJr0/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.21it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.74it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.39it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.92it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.98it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 11.02it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.04it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.06it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.08it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.08it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.09it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.09it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.09it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.94it/s]", "metrics": { "predict_time": 8.028175256, "total_time": 8.036728 }, "output": "https://replicate.delivery/yhqm/pH98kTPQrhZZFFagbTfDso9rtzbf761ehfnyAe2KUJ4OWUSfE/out_6_1024.png", "started_at": "2024-12-12T23:50:01.317553Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-tefmmtppwsnipahvor6beqbkj7nrsdafjx7ycmvgm224iudjqpqq", "get": "https://api.replicate.com/v1/predictions/rdexcg45bnrj40ckqn3t330tf0", "cancel": "https://api.replicate.com/v1/predictions/rdexcg45bnrj40ckqn3t330tf0/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.21it/s] 8%|▊ | 3/40 [00:00<00:03, 9.74it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.39it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.92it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.98it/s] 38%|███▊ | 15/40 [00:01<00:02, 11.02it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.04it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.06it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.08it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.08it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.09it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.09it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.09it/s] 100%|██████████| 40/40 [00:03<00:00, 10.94it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDhrchjtx6gxrj40ckqmsv824mecStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A living room
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg", "prompt": "A living room", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg", prompt: "A living room", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg", "prompt": "A living room", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg", "prompt": "A living room", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:28:27.026900Z", "created_at": "2024-12-12T23:28:19.079000Z", "data_removed": false, "error": null, "id": "hrchjtx6gxrj40ckqmsv824mec", "input": { "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg", "prompt": "A living room", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.22it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.70it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.35it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.64it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.78it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.87it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.93it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 10.96it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 10.99it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.01it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.02it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.03it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.03it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.03it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.03it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.04it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.04it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.04it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.04it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.90it/s]", "metrics": { "predict_time": 7.940198847, "total_time": 7.9479 }, "output": "https://replicate.delivery/yhqm/c2VLrNIEKfwQKa2VkHIw9yZGik6Nm3Cb54bdECwRyQgNHJ9JA/out_6_1024.png", "started_at": "2024-12-12T23:28:19.086701Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-xgmah6vvgovbx73egjwadd3rtw6auod2rp3x2zsioqivtit6zmva", "get": "https://api.replicate.com/v1/predictions/hrchjtx6gxrj40ckqmsv824mec", "cancel": "https://api.replicate.com/v1/predictions/hrchjtx6gxrj40ckqmsv824mec/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.22it/s] 8%|▊ | 3/40 [00:00<00:03, 9.70it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.35it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.64it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.78it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.87it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.93it/s] 38%|███▊ | 15/40 [00:01<00:02, 10.96it/s] 42%|████▎ | 17/40 [00:01<00:02, 10.99it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.01it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.02it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.03it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.03it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.03it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.03it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.04it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.04it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.04it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.04it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s] 100%|██████████| 40/40 [00:03<00:00, 10.90it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDqzbfkxm3s1rj60ckqmvvawvt38StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A living room, functional, realistic
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MI4jkpgvgTjmgbgGBuJkHncjZ4FsxjjQHXtXZjEJiK4WbR/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MI4jkpgvgTjmgbgGBuJkHncjZ4FsxjjQHXtXZjEJiK4WbR/living.jpg", prompt: "A living room, functional, realistic", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MI4jkpgvgTjmgbgGBuJkHncjZ4FsxjjQHXtXZjEJiK4WbR/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MI4jkpgvgTjmgbgGBuJkHncjZ4FsxjjQHXtXZjEJiK4WbR/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:32:40.170705Z", "created_at": "2024-12-12T23:32:32.328000Z", "data_removed": false, "error": null, "id": "qzbfkxm3s1rj60ckqmvvawvt38", "input": { "image": "https://replicate.delivery/pbxt/M8MI4jkpgvgTjmgbgGBuJkHncjZ4FsxjjQHXtXZjEJiK4WbR/living.jpg", "prompt": "A living room, functional, realistic", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.21it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.72it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.37it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.65it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.79it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.89it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.95it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 10.98it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.00it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.03it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.03it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.04it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.04it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.05it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.04it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.04it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.05it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.05it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.05it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.91it/s]", "metrics": { "predict_time": 7.834907738, "total_time": 7.842705 }, "output": "https://replicate.delivery/yhqm/DEO29mntxdp0Pdf7JfeoX3qOnxv3teddneC7wew1AYVBmkkeJA/out_6_1024.png", "started_at": "2024-12-12T23:32:32.335797Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-aszi7cjkyaeldare5flpp3scg5mdezllx6molhbqaxmwti6ce26q", "get": "https://api.replicate.com/v1/predictions/qzbfkxm3s1rj60ckqmvvawvt38", "cancel": "https://api.replicate.com/v1/predictions/qzbfkxm3s1rj60ckqmvvawvt38/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.21it/s] 8%|▊ | 3/40 [00:00<00:03, 9.72it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.37it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.65it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.79it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.89it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.95it/s] 38%|███▊ | 15/40 [00:01<00:02, 10.98it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.00it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.03it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.03it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.04it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.04it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.05it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.04it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.04it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.05it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.05it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.05it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s] 100%|██████████| 40/40 [00:03<00:00, 10.91it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDcj92fac2a9rj40ckqn1t6n0fh8StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A kitchen
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MUTkzBG3rdYKqk2Ek3sHSvW1XR4A7g4XWZuJb3b3sz1dbP/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MUTkzBG3rdYKqk2Ek3sHSvW1XR4A7g4XWZuJb3b3sz1dbP/scene%20%281%29.jpg", prompt: "A kitchen", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MUTkzBG3rdYKqk2Ek3sHSvW1XR4A7g4XWZuJb3b3sz1dbP/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MUTkzBG3rdYKqk2Ek3sHSvW1XR4A7g4XWZuJb3b3sz1dbP/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:45:46.450944Z", "created_at": "2024-12-12T23:45:38.386000Z", "data_removed": false, "error": null, "id": "cj92fac2a9rj40ckqn1t6n0fh8", "input": { "image": "https://replicate.delivery/pbxt/M8MUTkzBG3rdYKqk2Ek3sHSvW1XR4A7g4XWZuJb3b3sz1dbP/scene%20%281%29.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.21it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.72it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.38it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.91it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.97it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 11.01it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.03it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.05it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.07it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.07it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.07it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.07it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.08it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.94it/s]", "metrics": { "predict_time": 8.055841861, "total_time": 8.064944 }, "output": "https://replicate.delivery/yhqm/RWnt1LG5Mf07KiR1f2ttoUNoBcLpLLUGza5c52MQBZ8qek0nA/out_6_1024.png", "started_at": "2024-12-12T23:45:38.395102Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-fqcuadsgteyjyyj77itrty7dkveyq3miubfzci6uybqoraqavizq", "get": "https://api.replicate.com/v1/predictions/cj92fac2a9rj40ckqn1t6n0fh8", "cancel": "https://api.replicate.com/v1/predictions/cj92fac2a9rj40ckqn1t6n0fh8/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.21it/s] 8%|▊ | 3/40 [00:00<00:03, 9.72it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.38it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.91it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.97it/s] 38%|███▊ | 15/40 [00:01<00:02, 11.01it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.03it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.05it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.07it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.07it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.07it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.07it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.08it/s] 100%|██████████| 40/40 [00:03<00:00, 10.94it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDx4wzyacxgdrj00ckqn2abz1g8rStatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A kitchen
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MVdOJADHleq4CgBrWM4GJtYXwvOgK1tSzJqeY76DpZrVrZ/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MVdOJADHleq4CgBrWM4GJtYXwvOgK1tSzJqeY76DpZrVrZ/kitchen.jpg", prompt: "A kitchen", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MVdOJADHleq4CgBrWM4GJtYXwvOgK1tSzJqeY76DpZrVrZ/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MVdOJADHleq4CgBrWM4GJtYXwvOgK1tSzJqeY76DpZrVrZ/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:46:58.930232Z", "created_at": "2024-12-12T23:46:50.883000Z", "data_removed": false, "error": null, "id": "x4wzyacxgdrj00ckqn2abz1g8r", "input": { "image": "https://replicate.delivery/pbxt/M8MVdOJADHleq4CgBrWM4GJtYXwvOgK1tSzJqeY76DpZrVrZ/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.22it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.73it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.38it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.91it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.97it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 11.01it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.03it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.05it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.07it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.08it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.08it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.09it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.94it/s]", "metrics": { "predict_time": 8.039998833, "total_time": 8.047232 }, "output": "https://replicate.delivery/yhqm/etbwDFSBLFUvSqpPKRSPt3okQfErP0iF4P4VnwBakQHyfk0nA/out_6_1024.png", "started_at": "2024-12-12T23:46:50.890234Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-bo4gggmnrkwa477imrrujsgyw6g3nxvpw3l26soz6ucyorlz7adq", "get": "https://api.replicate.com/v1/predictions/x4wzyacxgdrj00ckqn2abz1g8r", "cancel": "https://api.replicate.com/v1/predictions/x4wzyacxgdrj00ckqn2abz1g8r/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.22it/s] 8%|▊ | 3/40 [00:00<00:03, 9.73it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.38it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.67it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.82it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.91it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.97it/s] 38%|███▊ | 15/40 [00:01<00:02, 11.01it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.03it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.05it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.07it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.08it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.08it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.09it/s] 100%|██████████| 40/40 [00:03<00:00, 10.94it/s]
Prediction
orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7fIDjdnxe0ze4srj60ckqn2b5n28b4StatusSucceededSourceWebHardwareA100 (80GB)Total durationCreatedInput
- prompt
- A kitchen
- guidance_scale
- 15
- negative_prompt
- lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "image": "https://replicate.delivery/pbxt/M8MVxrDQEPtiz0MkqCHfixn5BQnv2cCHH3eju2TbgPkMswZu/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", { input: { image: "https://replicate.delivery/pbxt/M8MVxrDQEPtiz0MkqCHfixn5BQnv2cCHH3eju2TbgPkMswZu/kitchen.jpg", prompt: "A kitchen", guidance_scale: 15, negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", prompt_strength: 0.8, 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", input={ "image": "https://replicate.delivery/pbxt/M8MVxrDQEPtiz0MkqCHfixn5BQnv2cCHH3eju2TbgPkMswZu/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run orbin-ahmed/interior 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": "orbin-ahmed/interior:4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f", "input": { "image": "https://replicate.delivery/pbxt/M8MVxrDQEPtiz0MkqCHfixn5BQnv2cCHH3eju2TbgPkMswZu/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-12T23:47:19.545504Z", "created_at": "2024-12-12T23:47:11.526000Z", "data_removed": false, "error": null, "id": "jdnxe0ze4srj60ckqn2b5n28b4", "input": { "image": "https://replicate.delivery/pbxt/M8MVxrDQEPtiz0MkqCHfixn5BQnv2cCHH3eju2TbgPkMswZu/kitchen.jpg", "prompt": "A kitchen", "guidance_scale": 15, "negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:05, 7.20it/s]\n 8%|▊ | 3/40 [00:00<00:03, 9.72it/s]\n 12%|█▎ | 5/40 [00:00<00:03, 10.37it/s]\n 18%|█▊ | 7/40 [00:00<00:03, 10.66it/s]\n 22%|██▎ | 9/40 [00:00<00:02, 10.81it/s]\n 28%|██▊ | 11/40 [00:01<00:02, 10.90it/s]\n 32%|███▎ | 13/40 [00:01<00:02, 10.96it/s]\n 38%|███▊ | 15/40 [00:01<00:02, 11.00it/s]\n 42%|████▎ | 17/40 [00:01<00:02, 11.03it/s]\n 48%|████▊ | 19/40 [00:01<00:01, 11.05it/s]\n 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s]\n 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s]\n 62%|██████▎ | 25/40 [00:02<00:01, 11.07it/s]\n 68%|██████▊ | 27/40 [00:02<00:01, 11.07it/s]\n 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s]\n 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.08it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.08it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.93it/s]", "metrics": { "predict_time": 8.010970449, "total_time": 8.019504 }, "output": "https://replicate.delivery/yhqm/jYc4YV84Yg5JP5SJxVrmjK4CYR3D8lhEYZ4gS1GzovxBokeJA/out_6_1024.png", "started_at": "2024-12-12T23:47:11.534533Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/qoxq-2v3v2essy5dkor7aqcxi7jah3rmh4o2ldxyl7ttzihmu2za5scga", "get": "https://api.replicate.com/v1/predictions/jdnxe0ze4srj60ckqn2b5n28b4", "cancel": "https://api.replicate.com/v1/predictions/jdnxe0ze4srj60ckqn2b5n28b4/cancel" }, "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f" }
Generated in0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 7.20it/s] 8%|▊ | 3/40 [00:00<00:03, 9.72it/s] 12%|█▎ | 5/40 [00:00<00:03, 10.37it/s] 18%|█▊ | 7/40 [00:00<00:03, 10.66it/s] 22%|██▎ | 9/40 [00:00<00:02, 10.81it/s] 28%|██▊ | 11/40 [00:01<00:02, 10.90it/s] 32%|███▎ | 13/40 [00:01<00:02, 10.96it/s] 38%|███▊ | 15/40 [00:01<00:02, 11.00it/s] 42%|████▎ | 17/40 [00:01<00:02, 11.03it/s] 48%|████▊ | 19/40 [00:01<00:01, 11.05it/s] 52%|█████▎ | 21/40 [00:01<00:01, 11.06it/s] 57%|█████▊ | 23/40 [00:02<00:01, 11.07it/s] 62%|██████▎ | 25/40 [00:02<00:01, 11.07it/s] 68%|██████▊ | 27/40 [00:02<00:01, 11.07it/s] 72%|███████▎ | 29/40 [00:02<00:00, 11.08it/s] 78%|███████▊ | 31/40 [00:02<00:00, 11.08it/s] 82%|████████▎ | 33/40 [00:03<00:00, 11.08it/s] 88%|████████▊ | 35/40 [00:03<00:00, 11.08it/s] 92%|█████████▎| 37/40 [00:03<00:00, 11.08it/s] 98%|█████████▊| 39/40 [00:03<00:00, 11.08it/s] 100%|██████████| 40/40 [00:03<00:00, 10.93it/s]
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