lucataco / rgb2grayscale-cuda
CUDA implementation of an rgb2grayscale function
- Public
- 118 runs
-
T4
- GitHub
Prediction
lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4eID20wer144fsrge0cnj29v8hzc2cStatusSucceededSourceWebHardwareT4Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/MeZV6UbpJMOQKGUSCnUsAnE34JMqLyh8eZR6FcFxzRkpP3Hp/replicate-prediction-z27p3r7f81rg80ck0bxtp16kxc.jpg" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", { input: { image: "https://replicate.delivery/pbxt/MeZV6UbpJMOQKGUSCnUsAnE34JMqLyh8eZR6FcFxzRkpP3Hp/replicate-prediction-z27p3r7f81rg80ck0bxtp16kxc.jpg" } } ); // 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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", input={ "image": "https://replicate.delivery/pbxt/MeZV6UbpJMOQKGUSCnUsAnE34JMqLyh8eZR6FcFxzRkpP3Hp/replicate-prediction-z27p3r7f81rg80ck0bxtp16kxc.jpg" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", "input": { "image": "https://replicate.delivery/pbxt/MeZV6UbpJMOQKGUSCnUsAnE34JMqLyh8eZR6FcFxzRkpP3Hp/replicate-prediction-z27p3r7f81rg80ck0bxtp16kxc.jpg" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-13T17:35:42.156847Z", "created_at": "2025-03-13T17:35:41.694000Z", "data_removed": false, "error": null, "id": "20wer144fsrge0cnj29v8hzc2c", "input": { "image": "https://replicate.delivery/pbxt/MeZV6UbpJMOQKGUSCnUsAnE34JMqLyh8eZR6FcFxzRkpP3Hp/replicate-prediction-z27p3r7f81rg80ck0bxtp16kxc.jpg" }, "logs": "h*w: 1664*2496", "metrics": { "predict_time": 0.446738735, "total_time": 0.462847 }, "output": "https://replicate.delivery/czjl/NQjGiHjnJDpLNtlXY19sqVmfLiixfBo1zoxPvgf6pLJcLZwoA/output.jpg", "started_at": "2025-03-13T17:35:41.710108Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/fddq-gqifle4am2suezuob5isw65xk2fo4u3bhrj2hgwbhqngiqonhvza", "get": "https://api.replicate.com/v1/predictions/20wer144fsrge0cnj29v8hzc2c", "cancel": "https://api.replicate.com/v1/predictions/20wer144fsrge0cnj29v8hzc2c/cancel" }, "version": "be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e" }
Generated inh*w: 1664*2496
Prediction
lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4eIDhypm74rnh9rgc0cnj2a9z8xw3cStatusSucceededSourceWebHardwareT4Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/MeZVgVIagnzaygpj5nyW4ziZKAfzRhFSGYoiK5Xtgs9JL7ys/replicate-prediction-n2gb4pvzr1rga0ckdvzsy65gqg.jpg" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", { input: { image: "https://replicate.delivery/pbxt/MeZVgVIagnzaygpj5nyW4ziZKAfzRhFSGYoiK5Xtgs9JL7ys/replicate-prediction-n2gb4pvzr1rga0ckdvzsy65gqg.jpg" } } ); // 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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", input={ "image": "https://replicate.delivery/pbxt/MeZVgVIagnzaygpj5nyW4ziZKAfzRhFSGYoiK5Xtgs9JL7ys/replicate-prediction-n2gb4pvzr1rga0ckdvzsy65gqg.jpg" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", "input": { "image": "https://replicate.delivery/pbxt/MeZVgVIagnzaygpj5nyW4ziZKAfzRhFSGYoiK5Xtgs9JL7ys/replicate-prediction-n2gb4pvzr1rga0ckdvzsy65gqg.jpg" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-13T17:36:19.061162Z", "created_at": "2025-03-13T17:36:18.826000Z", "data_removed": false, "error": null, "id": "hypm74rnh9rgc0cnj2a9z8xw3c", "input": { "image": "https://replicate.delivery/pbxt/MeZVgVIagnzaygpj5nyW4ziZKAfzRhFSGYoiK5Xtgs9JL7ys/replicate-prediction-n2gb4pvzr1rga0ckdvzsy65gqg.jpg" }, "logs": "h*w: 896*1152", "metrics": { "predict_time": 0.218529574, "total_time": 0.235162 }, "output": "https://replicate.delivery/czjl/S9pJvAwjbeWCWCEqpqG85tuJHbgPT75jOzLFfBtmtLtTmMYUA/output.jpg", "started_at": "2025-03-13T17:36:18.842632Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/fddq-bffi6iaqow6khidxeyajqeefdqzjctzgcz3cbvmayczl67fr7uxq", "get": "https://api.replicate.com/v1/predictions/hypm74rnh9rgc0cnj2a9z8xw3c", "cancel": "https://api.replicate.com/v1/predictions/hypm74rnh9rgc0cnj2a9z8xw3c/cancel" }, "version": "be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e" }
Generated inh*w: 896*1152
Prediction
lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4eIDfhpg7hyxgdrga0cnj29ahsfbm4StatusSucceededSourceWebHardwareT4Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/MeZUPjjbRvgc8O50qkMdFVNGiFWfmSMC1QwJsicuvahD0nq8/tokyo.jpg" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", { input: { image: "https://replicate.delivery/pbxt/MeZUPjjbRvgc8O50qkMdFVNGiFWfmSMC1QwJsicuvahD0nq8/tokyo.jpg" } } ); // 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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", input={ "image": "https://replicate.delivery/pbxt/MeZUPjjbRvgc8O50qkMdFVNGiFWfmSMC1QwJsicuvahD0nq8/tokyo.jpg" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", "input": { "image": "https://replicate.delivery/pbxt/MeZUPjjbRvgc8O50qkMdFVNGiFWfmSMC1QwJsicuvahD0nq8/tokyo.jpg" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-13T17:34:59.175610Z", "created_at": "2025-03-13T17:34:58.947000Z", "data_removed": false, "error": null, "id": "fhpg7hyxgdrga0cnj29ahsfbm4", "input": { "image": "https://replicate.delivery/pbxt/MeZUPjjbRvgc8O50qkMdFVNGiFWfmSMC1QwJsicuvahD0nq8/tokyo.jpg" }, "logs": "h*w: 896*1152", "metrics": { "predict_time": 0.21227152, "total_time": 0.22861 }, "output": "https://replicate.delivery/czjl/Po536h4kA1oWP5rBdfIjSqDQBZJHDID5fAw2JfC1sH0GKZwoA/output.jpg", "started_at": "2025-03-13T17:34:58.963338Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/fddq-qhxvzdfmnictkbxempwmcqnknv3222i2uebkhixilordumr7pvwq", "get": "https://api.replicate.com/v1/predictions/fhpg7hyxgdrga0cnj29ahsfbm4", "cancel": "https://api.replicate.com/v1/predictions/fhpg7hyxgdrga0cnj29ahsfbm4/cancel" }, "version": "be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e" }
Generated inh*w: 896*1152
Prediction
lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4eIDvw9ap161jxrg80cnj29vwdn60cStatusSucceededSourceWebHardwareT4Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/MeZVLBkLoNU1LzyfQrJFeaZzdmgCi9OKdEvMY4ZmlUIS5Aoc/replicate-prediction-tp61zb6nrxrg80ck0c0b2bzjnw.jpg" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", { input: { image: "https://replicate.delivery/pbxt/MeZVLBkLoNU1LzyfQrJFeaZzdmgCi9OKdEvMY4ZmlUIS5Aoc/replicate-prediction-tp61zb6nrxrg80ck0c0b2bzjnw.jpg" } } ); // 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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", input={ "image": "https://replicate.delivery/pbxt/MeZVLBkLoNU1LzyfQrJFeaZzdmgCi9OKdEvMY4ZmlUIS5Aoc/replicate-prediction-tp61zb6nrxrg80ck0c0b2bzjnw.jpg" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", "input": { "image": "https://replicate.delivery/pbxt/MeZVLBkLoNU1LzyfQrJFeaZzdmgCi9OKdEvMY4ZmlUIS5Aoc/replicate-prediction-tp61zb6nrxrg80ck0c0b2bzjnw.jpg" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-13T17:35:57.657054Z", "created_at": "2025-03-13T17:35:57.335000Z", "data_removed": false, "error": null, "id": "vw9ap161jxrg80cnj29vwdn60c", "input": { "image": "https://replicate.delivery/pbxt/MeZVLBkLoNU1LzyfQrJFeaZzdmgCi9OKdEvMY4ZmlUIS5Aoc/replicate-prediction-tp61zb6nrxrg80ck0c0b2bzjnw.jpg" }, "logs": "h*w: 1664*2496", "metrics": { "predict_time": 0.295201137, "total_time": 0.322054 }, "output": "https://replicate.delivery/czjl/cb3lfGXGXbxseUA2ejdC6ExfGHUk1edvmz05EAQHJe7QfSGMKA/output.jpg", "started_at": "2025-03-13T17:35:57.361853Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/fddq-amkkds22y24nmsjciwxhyerh72nwub6zwiuizzmkxhow2qqymyua", "get": "https://api.replicate.com/v1/predictions/vw9ap161jxrg80cnj29vwdn60c", "cancel": "https://api.replicate.com/v1/predictions/vw9ap161jxrg80cnj29vwdn60c/cancel" }, "version": "be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e" }
Generated inh*w: 1664*2496
Prediction
lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4eIDq1rbz547vxrge0cnj2a92sq7mrStatusSucceededSourceWebHardwareT4Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.jpg" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", { input: { image: "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.jpg" } } ); // 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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", input={ "image": "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.jpg" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", "input": { "image": "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.jpg" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-03-13T17:36:48.284562Z", "created_at": "2025-03-13T17:36:48.095000Z", "data_removed": false, "error": null, "id": "q1rbz547vxrge0cnj2a92sq7mr", "input": { "image": "https://replicate.delivery/pbxt/KRO2UCFBOnSbIq1mFlCW2Al3EWrjXhbTP1V37o14odThozA5/puppy.jpg" }, "logs": "h*w: 1330*1920", "metrics": { "predict_time": 0.173403946, "total_time": 0.189562 }, "output": "https://replicate.delivery/czjl/YRoo27L27vp8K5wiefP3eYnsDNti3MvnAigBbfqu4n9BbygRB/output.jpg", "started_at": "2025-03-13T17:36:48.111158Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/fddq-h7wsrnpm4tk7kswuqvxle7c7fj6k7zebli6h3ierkd3u45e63cba", "get": "https://api.replicate.com/v1/predictions/q1rbz547vxrge0cnj2a92sq7mr", "cancel": "https://api.replicate.com/v1/predictions/q1rbz547vxrge0cnj2a92sq7mr/cancel" }, "version": "be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e" }
Generated inh*w: 1330*1920
Prediction
lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4eIDh78evd7n1srg80cny9drz7pw38StatusSucceededSourceWebHardwareT4Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/MlJMU8Ci4G1lPNagKjHHReSOhiPw1hqezKfIDkPdS1TsUKEc/replicate-prediction-qjkb2d46dnrma0cnxv383wqvac.png" }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", { input: { image: "https://replicate.delivery/pbxt/MlJMU8Ci4G1lPNagKjHHReSOhiPw1hqezKfIDkPdS1TsUKEc/replicate-prediction-qjkb2d46dnrma0cnxv383wqvac.png" } } ); // 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 lucataco/rgb2grayscale-cuda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", input={ "image": "https://replicate.delivery/pbxt/MlJMU8Ci4G1lPNagKjHHReSOhiPw1hqezKfIDkPdS1TsUKEc/replicate-prediction-qjkb2d46dnrma0cnxv383wqvac.png" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run lucataco/rgb2grayscale-cuda 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": "lucataco/rgb2grayscale-cuda:be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e", "input": { "image": "https://replicate.delivery/pbxt/MlJMU8Ci4G1lPNagKjHHReSOhiPw1hqezKfIDkPdS1TsUKEc/replicate-prediction-qjkb2d46dnrma0cnxv383wqvac.png" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-04-01T17:17:47.969072Z", "created_at": "2025-04-01T17:17:47.662000Z", "data_removed": false, "error": null, "id": "h78evd7n1srg80cny9drz7pw38", "input": { "image": "https://replicate.delivery/pbxt/MlJMU8Ci4G1lPNagKjHHReSOhiPw1hqezKfIDkPdS1TsUKEc/replicate-prediction-qjkb2d46dnrma0cnxv383wqvac.png" }, "logs": "h*w: 1024*1024", "metrics": { "predict_time": 0.288160112, "total_time": 0.307072 }, "output": "https://replicate.delivery/czjl/zMOOevX9CvWvKShVeqpaN5NW660zWjSmfgv9jKCUEp53N68oA/output.jpg", "started_at": "2025-04-01T17:17:47.680911Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/fddq-iqicx3autfbbwhgxxtjr43vxcp3t6vho5fww7tlhzz5qrz7bpgea", "get": "https://api.replicate.com/v1/predictions/h78evd7n1srg80cny9drz7pw38", "cancel": "https://api.replicate.com/v1/predictions/h78evd7n1srg80cny9drz7pw38/cancel" }, "version": "be024f18c73e4c5dbfada1343c157a0ec3c2b919ba26fdcc59e03abfae8f1c4e" }
Generated inh*w: 1024*1024
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