topazlabs/video-upscale
video-upscale
Video Upscaling from Topaz Labs
Topaz Labs will be increasing the price of this model on October 31, 2025 at 9 am PT from $0.05 / unit to $0.08 / unit.
Prediction
topazlabs/video-upscaleOfficial modelID7x0ejn1bcsrme0cpde7te5a8agStatusSucceededSourceWebTotal durationCreatedby @topazlabsInput
- video
- target_fps
- 60
- target_resolution
- 4k
{ "video": "https://replicate.delivery/xezq/qw2eM2fXGov7KEvNJTUUV3SX6oolPyPDGk0u2HJa3lYpBf5oA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { video: "https://replicate.delivery/xezq/qw2eM2fXGov7KEvNJTUUV3SX6oolPyPDGk0u2HJa3lYpBf5oA/R8_Wan_00001.mp4", target_fps: 60, target_resolution: "4k" }; const output = await replicate.run("topazlabs/video-upscale", { input }); // 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 replicateImport the client:import replicateRun topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "topazlabs/video-upscale", input={ "video": "https://replicate.delivery/xezq/qw2eM2fXGov7KEvNJTUUV3SX6oolPyPDGk0u2HJa3lYpBf5oA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run topazlabs/video-upscale 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 $'{ "input": { "video": "https://replicate.delivery/xezq/qw2eM2fXGov7KEvNJTUUV3SX6oolPyPDGk0u2HJa3lYpBf5oA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" } }' \ https://api.replicate.com/v1/models/topazlabs/video-upscale/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-04-25T06:09:33.301885Z", "created_at": "2025-04-25T06:07:47.046000Z", "data_removed": false, "error": null, "id": "7x0ejn1bcsrme0cpde7te5a8ag", "input": { "video": "https://replicate.delivery/xezq/qw2eM2fXGov7KEvNJTUUV3SX6oolPyPDGk0u2HJa3lYpBf5oA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" }, "logs": "initializing...\npreprocessing...\nprocessing...\nProgress: 15.53%\nProgress: 16.32%\nProgress: 17.37%\nProgress: 18.42%\nProgress: 20.26%\nProgress: 21.32%\nProgress: 22.37%\nProgress: 23.42%\nProgress: 24.21%\nProgress: 25.26%\nProgress: 26.32%\nProgress: 27.37%\nProgress: 28.16%\nProgress: 29.21%\nProgress: 31.32%\nProgress: 32.11%\nProgress: 33.16%\nProgress: 34.21%\nProgress: 35.26%\nProgress: 37.11%\nProgress: 38.16%\nProgress: 39.21%\nProgress: 40%\nProgress: 41.05%\nProgress: 42.11%\nProgress: 43.42%\nProgress: 43.95%\nProgress: 43.95%\nProgress: 43.95%\nProgress: 46.84%\nProgress: 48.16%\nProgress: 48.16%\nProgress: 48.16%\nProgress: 48.16%\nProgress: 48.16%\nProgress: 48.16%\nProgress: 50%\nProgress: 56.84%\nProgress: 60%\nProgress: 61.05%\nProgress: 62.11%\nProgress: 63.16%\nProgress: 63.95%\nProgress: 65%\nProgress: 67.11%\nProgress: 67.89%\nProgress: 68.95%\nProgress: 70%\nProgress: 71.05%\nProgress: 71.84%\nProgress: 72.89%\nProgress: 74.21%\nProgress: 74.21%\nProgress: 74.21%\nProgress: 74.21%\nProgress: 74.21%\nProgress: 74.21%\nProgress: 74.21%\nProgress: 85.79%\nProgress: 89.21%\nProgress: 89.21%\nProgress: 89.21%\npostprocessing...\nProgress: 92.51%\ncomplete...\nProgress: 100%\nDownloading 17294257 bytes\nDownloaded 16.49MB in 0.70sec\nVideo output frame pixel count: 121317580\n/usr/local/lib/python3.12/site-packages/cog/server/scope.py:21: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning.\n warnings.warn(", "metrics": { "predict_time": 106.208827231, "total_time": 106.255885 }, "output": "https://replicate.delivery/xezq/xpjUUlHfIF3EAqyRs33xfBHJ67bYVgT7oWsxzNkk3z4dkNmUA/tmppx3u94ba.mp4", "started_at": "2025-04-25T06:07:47.093058Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-dzxdbqht7l66c36zxjurinyffqpsacw5yckx3dkpxikdjpbqrpba", "get": "https://api.replicate.com/v1/predictions/7x0ejn1bcsrme0cpde7te5a8ag", "cancel": "https://api.replicate.com/v1/predictions/7x0ejn1bcsrme0cpde7te5a8ag/cancel" }, "version": "hidden" }Generated ininitializing... preprocessing... processing... Progress: 15.53% Progress: 16.32% Progress: 17.37% Progress: 18.42% Progress: 20.26% Progress: 21.32% Progress: 22.37% Progress: 23.42% Progress: 24.21% Progress: 25.26% Progress: 26.32% Progress: 27.37% Progress: 28.16% Progress: 29.21% Progress: 31.32% Progress: 32.11% Progress: 33.16% Progress: 34.21% Progress: 35.26% Progress: 37.11% Progress: 38.16% Progress: 39.21% Progress: 40% Progress: 41.05% Progress: 42.11% Progress: 43.42% Progress: 43.95% Progress: 43.95% Progress: 43.95% Progress: 46.84% Progress: 48.16% Progress: 48.16% Progress: 48.16% Progress: 48.16% Progress: 48.16% Progress: 48.16% Progress: 50% Progress: 56.84% Progress: 60% Progress: 61.05% Progress: 62.11% Progress: 63.16% Progress: 63.95% Progress: 65% Progress: 67.11% Progress: 67.89% Progress: 68.95% Progress: 70% Progress: 71.05% Progress: 71.84% Progress: 72.89% Progress: 74.21% Progress: 74.21% Progress: 74.21% Progress: 74.21% Progress: 74.21% Progress: 74.21% Progress: 74.21% Progress: 85.79% Progress: 89.21% Progress: 89.21% Progress: 89.21% postprocessing... Progress: 92.51% complete... Progress: 100% Downloading 17294257 bytes Downloaded 16.49MB in 0.70sec Video output frame pixel count: 121317580 /usr/local/lib/python3.12/site-packages/cog/server/scope.py:21: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning. warnings.warn(Prediction
topazlabs/video-upscaleOfficial modelID6he0w3qn9drme0cpdph8es5sb0StatusSucceededSourceWebTotal durationCreatedInput
- video
- target_fps
- 60
- target_resolution
- 4k
{ "video": "https://replicate.delivery/pbxt/MtoB5g5BBNKpiz25927ZmkdwImZatwOXUCjVAWqH8UCQbuot/test.mp4", "target_fps": 60, "target_resolution": "4k" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { video: "https://replicate.delivery/pbxt/MtoB5g5BBNKpiz25927ZmkdwImZatwOXUCjVAWqH8UCQbuot/test.mp4", target_fps: 60, target_resolution: "4k" }; const output = await replicate.run("topazlabs/video-upscale", { input }); // 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 replicateImport the client:import replicateRun topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "topazlabs/video-upscale", input={ "video": "https://replicate.delivery/pbxt/MtoB5g5BBNKpiz25927ZmkdwImZatwOXUCjVAWqH8UCQbuot/test.mp4", "target_fps": 60, "target_resolution": "4k" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run topazlabs/video-upscale 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 $'{ "input": { "video": "https://replicate.delivery/pbxt/MtoB5g5BBNKpiz25927ZmkdwImZatwOXUCjVAWqH8UCQbuot/test.mp4", "target_fps": 60, "target_resolution": "4k" } }' \ https://api.replicate.com/v1/models/topazlabs/video-upscale/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-04-25T15:50:28.431040Z", "created_at": "2025-04-25T15:48:38.347000Z", "data_removed": false, "error": null, "id": "6he0w3qn9drme0cpdph8es5sb0", "input": { "video": "https://replicate.delivery/pbxt/MtoB5g5BBNKpiz25927ZmkdwImZatwOXUCjVAWqH8UCQbuot/test.mp4", "target_fps": 60, "target_resolution": "4k" }, "logs": "initializing...\npreprocessing...\nprocessing...\nProgress: 16.84%\nProgress: 17.37%\nProgress: 18.42%\nProgress: 19.47%\nProgress: 21.32%\nProgress: 22.37%\nProgress: 23.42%\nProgress: 24.21%\nProgress: 25.26%\nProgress: 26.32%\nProgress: 27.37%\nProgress: 28.16%\nProgress: 29.21%\nProgress: 30.26%\nProgress: 32.11%\nProgress: 33.16%\nProgress: 34.21%\nProgress: 35.26%\nProgress: 36.05%\nProgress: 37.11%\nProgress: 38.16%\nProgress: 39.74%\nProgress: 40%\nProgress: 41.05%\nProgress: 43.16%\nProgress: 43.95%\nProgress: 45%\nProgress: 46.05%\nProgress: 47.11%\nProgress: 48.16%\nProgress: 49.21%\nProgress: 51.05%\nProgress: 51.05%\nProgress: 52.89%\nProgress: 52.89%\nProgress: 55%\nProgress: 56.05%\nProgress: 56.84%\nProgress: 57.89%\nProgress: 58.95%\nProgress: 60.79%\nProgress: 60.79%\nProgress: 62.63%\nProgress: 62.89%\nProgress: 64.74%\nProgress: 65.79%\nProgress: 66.84%\nProgress: 67.63%\nProgress: 68.68%\nProgress: 69.74%\nProgress: 71.58%\nProgress: 71.58%\nProgress: 73.16%\nProgress: 73.68%\nProgress: 75.26%\nProgress: 76.58%\nProgress: 77.63%\nProgress: 77.63%\nProgress: 77.63%\nProgress: 77.63%\nProgress: 81.84%\nProgress: 81.84%\nProgress: 88.95%\nProgress: 88.95%\npostprocessing...\nProgress: 92.25%\ncomplete...\nProgress: 100%\nDownloading 20343098 bytes\nDownloaded 19.40MB in 0.73sec\nVideo output frame pixel count: 121305600\n/usr/local/lib/python3.12/site-packages/cog/server/scope.py:21: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning.\n warnings.warn(", "metrics": { "predict_time": 110.061275091, "total_time": 110.08404 }, "output": "https://replicate.delivery/xezq/FupTeWdMqftm7EKBkjqYce5LLrtE7KhU1ofgbVeKneNLRhlJF/tmpt3q7b60s.mp4", "started_at": "2025-04-25T15:48:38.369765Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-c5bjtymmeiwvne5k22kf5pcgjq54i7aotociliqqyfy2g3ojzxsq", "get": "https://api.replicate.com/v1/predictions/6he0w3qn9drme0cpdph8es5sb0", "cancel": "https://api.replicate.com/v1/predictions/6he0w3qn9drme0cpdph8es5sb0/cancel" }, "version": "hidden" }Generated ininitializing... preprocessing... processing... Progress: 16.84% Progress: 17.37% Progress: 18.42% Progress: 19.47% Progress: 21.32% Progress: 22.37% Progress: 23.42% Progress: 24.21% Progress: 25.26% Progress: 26.32% Progress: 27.37% Progress: 28.16% Progress: 29.21% Progress: 30.26% Progress: 32.11% Progress: 33.16% Progress: 34.21% Progress: 35.26% Progress: 36.05% Progress: 37.11% Progress: 38.16% Progress: 39.74% Progress: 40% Progress: 41.05% Progress: 43.16% Progress: 43.95% Progress: 45% Progress: 46.05% Progress: 47.11% Progress: 48.16% Progress: 49.21% Progress: 51.05% Progress: 51.05% Progress: 52.89% Progress: 52.89% Progress: 55% Progress: 56.05% Progress: 56.84% Progress: 57.89% Progress: 58.95% Progress: 60.79% Progress: 60.79% Progress: 62.63% Progress: 62.89% Progress: 64.74% Progress: 65.79% Progress: 66.84% Progress: 67.63% Progress: 68.68% Progress: 69.74% Progress: 71.58% Progress: 71.58% Progress: 73.16% Progress: 73.68% Progress: 75.26% Progress: 76.58% Progress: 77.63% Progress: 77.63% Progress: 77.63% Progress: 77.63% Progress: 81.84% Progress: 81.84% Progress: 88.95% Progress: 88.95% postprocessing... Progress: 92.25% complete... Progress: 100% Downloading 20343098 bytes Downloaded 19.40MB in 0.73sec Video output frame pixel count: 121305600 /usr/local/lib/python3.12/site-packages/cog/server/scope.py:21: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning. warnings.warn(Prediction
topazlabs/video-upscaleOfficial modelIDvc39g1qj6nrmc0cpdrzsh34j3cStatusSucceededSourceWebTotal durationCreatedInput
- video
- target_fps
- 60
- target_resolution
- 4k
{ "video": "https://replicate.delivery/xezq/rCzhfcqW5jWlBC9wbqoM5h35bdRApWt86FLaBbEzjKNeu6cUA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { video: "https://replicate.delivery/xezq/rCzhfcqW5jWlBC9wbqoM5h35bdRApWt86FLaBbEzjKNeu6cUA/R8_Wan_00001.mp4", target_fps: 60, target_resolution: "4k" }; const output = await replicate.run("topazlabs/video-upscale", { input }); // 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 replicateImport the client:import replicateRun topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "topazlabs/video-upscale", input={ "video": "https://replicate.delivery/xezq/rCzhfcqW5jWlBC9wbqoM5h35bdRApWt86FLaBbEzjKNeu6cUA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run topazlabs/video-upscale 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 $'{ "input": { "video": "https://replicate.delivery/xezq/rCzhfcqW5jWlBC9wbqoM5h35bdRApWt86FLaBbEzjKNeu6cUA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" } }' \ https://api.replicate.com/v1/models/topazlabs/video-upscale/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-04-25T18:41:54.114784Z", "created_at": "2025-04-25T18:40:06.709000Z", "data_removed": false, "error": null, "id": "vc39g1qj6nrmc0cpdrzsh34j3c", "input": { "video": "https://replicate.delivery/xezq/rCzhfcqW5jWlBC9wbqoM5h35bdRApWt86FLaBbEzjKNeu6cUA/R8_Wan_00001.mp4", "target_fps": 60, "target_resolution": "4k" }, "logs": "initializing...\npreprocessing...\nprocessing...\nProgress: 17.37%\nProgress: 18.42%\nProgress: 19.47%\nProgress: 20.26%\nProgress: 21.32%\nProgress: 22.37%\nProgress: 24.21%\nProgress: 25.26%\nProgress: 26.32%\nProgress: 27.37%\nProgress: 28.16%\nProgress: 30.26%\nProgress: 31.32%\nProgress: 32.11%\nProgress: 33.16%\nProgress: 34.21%\nProgress: 35.26%\nProgress: 36.05%\nProgress: 37.11%\nProgress: 38.16%\nProgress: 39.21%\nProgress: 41.05%\nProgress: 42.11%\nProgress: 43.16%\nProgress: 43.95%\nProgress: 45%\nProgress: 46.05%\nProgress: 47.11%\nProgress: 48.95%\nProgress: 50%\nProgress: 51.05%\nProgress: 52.11%\nProgress: 52.89%\nProgress: 53.95%\nProgress: 55%\nProgress: 56.84%\nProgress: 57.89%\nProgress: 58.95%\nProgress: 60%\nProgress: 60.79%\nProgress: 62.89%\nProgress: 63.95%\nProgress: 64.74%\nProgress: 65.79%\nProgress: 66.84%\nProgress: 67.63%\nProgress: 68.68%\nProgress: 69.74%\nProgress: 70.79%\nProgress: 72.63%\nProgress: 73.68%\nProgress: 74.74%\nProgress: 75.53%\nProgress: 76.58%\nProgress: 77.63%\nProgress: 77.63%\nProgress: 77.63%\nProgress: 80.53%\nProgress: 85.79%\nProgress: 88.95%\nProgress: 88.95%\nProgress: 88.95%\nProgress: 88.95%\npostprocessing...\nProgress: 92.25%\ncomplete...\nProgress: 100%\nDownloading 26635377 bytes\nDownloaded 25.40MB in 0.79sec\nVideo output frame pixel count: 121317580\n/usr/local/lib/python3.12/site-packages/cog/server/scope.py:21: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning.\n warnings.warn(", "metrics": { "predict_time": 107.392120013, "total_time": 107.405784 }, "output": "https://replicate.delivery/xezq/Yf6JR7TVhoWdUCFqCyvWMhQHtpeyfjwB9zKkE6GKZbxlLxMpA/tmp35d3x7dc.mp4", "started_at": "2025-04-25T18:40:06.722664Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-5vt6cxb5rtdoya45yips3yqxlphawt7deh3epuz5oq3xx26334ta", "get": "https://api.replicate.com/v1/predictions/vc39g1qj6nrmc0cpdrzsh34j3c", "cancel": "https://api.replicate.com/v1/predictions/vc39g1qj6nrmc0cpdrzsh34j3c/cancel" }, "version": "hidden" }Generated ininitializing... preprocessing... processing... Progress: 17.37% Progress: 18.42% Progress: 19.47% Progress: 20.26% Progress: 21.32% Progress: 22.37% Progress: 24.21% Progress: 25.26% Progress: 26.32% Progress: 27.37% Progress: 28.16% Progress: 30.26% Progress: 31.32% Progress: 32.11% Progress: 33.16% Progress: 34.21% Progress: 35.26% Progress: 36.05% Progress: 37.11% Progress: 38.16% Progress: 39.21% Progress: 41.05% Progress: 42.11% Progress: 43.16% Progress: 43.95% Progress: 45% Progress: 46.05% Progress: 47.11% Progress: 48.95% Progress: 50% Progress: 51.05% Progress: 52.11% Progress: 52.89% Progress: 53.95% Progress: 55% Progress: 56.84% Progress: 57.89% Progress: 58.95% Progress: 60% Progress: 60.79% Progress: 62.89% Progress: 63.95% Progress: 64.74% Progress: 65.79% Progress: 66.84% Progress: 67.63% Progress: 68.68% Progress: 69.74% Progress: 70.79% Progress: 72.63% Progress: 73.68% Progress: 74.74% Progress: 75.53% Progress: 76.58% Progress: 77.63% Progress: 77.63% Progress: 77.63% Progress: 80.53% Progress: 85.79% Progress: 88.95% Progress: 88.95% Progress: 88.95% Progress: 88.95% postprocessing... Progress: 92.25% complete... Progress: 100% Downloading 26635377 bytes Downloaded 25.40MB in 0.79sec Video output frame pixel count: 121317580 /usr/local/lib/python3.12/site-packages/cog/server/scope.py:21: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning. warnings.warn(Prediction
topazlabs/video-upscaleInput
- video
- target_fps
- 60
- target_resolution
- 4k
{ "video": "https://replicate.delivery/pbxt/N4DkZkhajsO7UekfBAyTNngDNuHJY8GT04cbMDaM9LPcSJBe/flower-face.mp4", "target_fps": 60, "target_resolution": "4k" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { video: "https://replicate.delivery/pbxt/N4DkZkhajsO7UekfBAyTNngDNuHJY8GT04cbMDaM9LPcSJBe/flower-face.mp4", target_fps: 60, target_resolution: "4k" }; const output = await replicate.run("topazlabs/video-upscale", { input }); // 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 replicateImport the client:import replicateRun topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "topazlabs/video-upscale", input={ "video": "https://replicate.delivery/pbxt/N4DkZkhajsO7UekfBAyTNngDNuHJY8GT04cbMDaM9LPcSJBe/flower-face.mp4", "target_fps": 60, "target_resolution": "4k" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run topazlabs/video-upscale 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 $'{ "input": { "video": "https://replicate.delivery/pbxt/N4DkZkhajsO7UekfBAyTNngDNuHJY8GT04cbMDaM9LPcSJBe/flower-face.mp4", "target_fps": 60, "target_resolution": "4k" } }' \ https://api.replicate.com/v1/models/topazlabs/video-upscale/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-05-24T23:56:37.591608Z", "created_at": "2025-05-24T23:50:17.918000Z", "data_removed": false, "error": null, "id": "exvrbaat7srm80cq0jtaccy2j8", "input": { "video": "https://replicate.delivery/pbxt/N4DkZkhajsO7UekfBAyTNngDNuHJY8GT04cbMDaM9LPcSJBe/flower-face.mp4", "target_fps": 60, "target_resolution": "4k" }, "logs": "initializing...\npreprocessing...\nprocessing...\nProgress: 10.4%\nProgress: 11.01%\nProgress: 11.01%\nProgress: 11.41%\nProgress: 11.41%\nProgress: 12.01%\nProgress: 12.01%\nProgress: 12.41%\nProgress: 13.02%\nProgress: 13.02%\nProgress: 13.42%\nProgress: 13.42%\nProgress: 14.02%\nProgress: 14.02%\nProgress: 14.42%\nProgress: 15.03%\nProgress: 15.03%\nProgress: 15.43%\nProgress: 15.43%\nProgress: 16.03%\nProgress: 16.03%\nProgress: 16.43%\nProgress: 16.43%\nProgress: 17.04%\nProgress: 17.44%\nProgress: 17.44%\nProgress: 18.04%\nProgress: 18.04%\nProgress: 18.44%\nProgress: 18.64%\nProgress: 19.05%\nProgress: 19.45%\nProgress: 19.45%\nProgress: 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preprocessing... processing... 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Progress: 88.99% Progress: 92.29% complete... Progress: 100% Units used: 31 Downloading 30755779 bytes Downloaded 29.33MB in 0.52sec Video output frame pixel count: 365561856 Units used: 31Prediction
topazlabs/video-upscaleInput
- video
- target_fps
- 60
- target_resolution
- 4k
{ "video": "https://replicate.delivery/pbxt/N8X2VIuePxg9JyNpTslqqZ9Rvrjwm45bNPAmjDAPHiyQida1/MPEG-4%20movie%205.mp4", "target_fps": 60, "target_resolution": "4k" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { video: "https://replicate.delivery/pbxt/N8X2VIuePxg9JyNpTslqqZ9Rvrjwm45bNPAmjDAPHiyQida1/MPEG-4%20movie%205.mp4", target_fps: 60, target_resolution: "4k" }; const output = await replicate.run("topazlabs/video-upscale", { input }); // 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 replicateImport the client:import replicateRun topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "topazlabs/video-upscale", input={ "video": "https://replicate.delivery/pbxt/N8X2VIuePxg9JyNpTslqqZ9Rvrjwm45bNPAmjDAPHiyQida1/MPEG-4%20movie%205.mp4", "target_fps": 60, "target_resolution": "4k" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run topazlabs/video-upscale 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 $'{ "input": { "video": "https://replicate.delivery/pbxt/N8X2VIuePxg9JyNpTslqqZ9Rvrjwm45bNPAmjDAPHiyQida1/MPEG-4%20movie%205.mp4", "target_fps": 60, "target_resolution": "4k" } }' \ https://api.replicate.com/v1/models/topazlabs/video-upscale/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-06T03:27:06.956552Z", "created_at": "2025-06-06T03:19:47.967000Z", "data_removed": false, "error": null, "id": "dk1tenvqzxrmc0cq8d08k9b17c", "input": { "video": "https://replicate.delivery/pbxt/N8X2VIuePxg9JyNpTslqqZ9Rvrjwm45bNPAmjDAPHiyQida1/MPEG-4%20movie%205.mp4", "target_fps": 60, "target_resolution": "4k" }, "logs": "initializing...\npreprocessing...\nprocessing...\nProgress: 10.33%\nProgress: 10.83%\nProgress: 10.83%\nProgress: 11.17%\nProgress: 11.17%\nProgress: 11.67%\nProgress: 11.67%\nProgress: 12%\nProgress: 12.5%\nProgress: 12.5%\nProgress: 12.83%\nProgress: 12.83%\nProgress: 13.33%\nProgress: 13.33%\nProgress: 13.67%\nProgress: 14.17%\nProgress: 14.17%\nProgress: 14.5%\nProgress: 14.5%\nProgress: 15%\nProgress: 15.33%\nProgress: 15.33%\nProgress: 15.83%\nProgress: 15.83%\nProgress: 16.17%\nProgress: 16.17%\nProgress: 16.67%\nProgress: 17%\nProgress: 17%\nProgress: 17.17%\nProgress: 17.5%\nProgress: 17.83%\nProgress: 17.83%\nProgress: 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82.83%\nProgress: 82.83%\nProgress: 82.83%\nProgress: 82.83%\nProgress: 82.83%\nProgress: 82.83%\nProgress: 82.83%\nProgress: 82.83%\nProgress: 87.83%\nProgress: 87.83%\nProgress: 89.67%\nProgress: 89.67%\nProgress: 89.67%\npostprocessing...\nProgress: 92.97%\nProgress: 92.97%\nProgress: 92.97%\ncomplete...\nProgress: 100%\nUnits used: 33\nDownloading 49643705 bytes\nDownloaded 47.34MB in 1.35sec\nVideo output frame pixel count: 442368000\nUnits used: 33", "metrics": { "predict_time": 438.982105715, "total_time": 438.989552 }, "output": "https://replicate.delivery/xezq/aNElLd06Db7JEFVklfkJqcwOsS1gsqkR0lMs8ARTIwGFkAaKA/tmp6v5tl927.mp4", "started_at": "2025-06-06T03:19:47.974447Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-utnbzonnrtmqov6fphzskm2kah32tiosyql44g3ezb425ljnqrrq", "get": "https://api.replicate.com/v1/predictions/dk1tenvqzxrmc0cq8d08k9b17c", "cancel": "https://api.replicate.com/v1/predictions/dk1tenvqzxrmc0cq8d08k9b17c/cancel" }, "version": "hidden" }Generated ininitializing... preprocessing... processing... 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Progress: 92.97% Progress: 92.97% Progress: 92.97% complete... Progress: 100% Units used: 33 Downloading 49643705 bytes Downloaded 47.34MB in 1.35sec Video output frame pixel count: 442368000 Units used: 33Prediction
topazlabs/video-upscaleOfficial modelIDxn8rszvcz9rma0cqpbmthhmyc8StatusSucceededSourceWebTotal durationCreatedby @lucatacoInput
- video
- target_fps
- 60
- target_resolution
- 1080p
{ "video": "https://replicate.delivery/pbxt/NGECsr1BBhTnUOdBrmoQZbkvMNGVhBH5ac4q52VGbQEyWWMf/replicate-prediction-e6hb0em2n1rma0cqpbmbvjye5w.mp4", "target_fps": 60, "target_resolution": "1080p" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = { video: "https://replicate.delivery/pbxt/NGECsr1BBhTnUOdBrmoQZbkvMNGVhBH5ac4q52VGbQEyWWMf/replicate-prediction-e6hb0em2n1rma0cqpbmbvjye5w.mp4", target_fps: 60, target_resolution: "1080p" }; const output = await replicate.run("topazlabs/video-upscale", { input }); // 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 replicateImport the client:import replicateRun topazlabs/video-upscale using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "topazlabs/video-upscale", input={ "video": "https://replicate.delivery/pbxt/NGECsr1BBhTnUOdBrmoQZbkvMNGVhBH5ac4q52VGbQEyWWMf/replicate-prediction-e6hb0em2n1rma0cqpbmbvjye5w.mp4", "target_fps": 60, "target_resolution": "1080p" } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run topazlabs/video-upscale 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 $'{ "input": { "video": "https://replicate.delivery/pbxt/NGECsr1BBhTnUOdBrmoQZbkvMNGVhBH5ac4q52VGbQEyWWMf/replicate-prediction-e6hb0em2n1rma0cqpbmbvjye5w.mp4", "target_fps": 60, "target_resolution": "1080p" } }' \ https://api.replicate.com/v1/models/topazlabs/video-upscale/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-06-27T19:43:02.592955Z", "created_at": "2025-06-27T19:42:11.706000Z", "data_removed": false, "error": null, "id": "xn8rszvcz9rma0cqpbmthhmyc8", "input": { "video": "https://replicate.delivery/pbxt/NGECsr1BBhTnUOdBrmoQZbkvMNGVhBH5ac4q52VGbQEyWWMf/replicate-prediction-e6hb0em2n1rma0cqpbmbvjye5w.mp4", "target_fps": 60, "target_resolution": "1080p" }, "logs": "initializing...\npreprocessing...\nprocessing...\nProgress: 12.64%\nProgress: 14.49%\nProgress: 17.92%\nProgress: 20.56%\nProgress: 22.41%\nProgress: 25.05%\nProgress: 26.9%\nProgress: 30.33%\nProgress: 32.71%\nProgress: 32.97%\nProgress: 32.97%\nProgress: 38.25%\nProgress: 44.85%\nProgress: 46.96%\nProgress: 49.6%\nProgress: 51.45%\nProgress: 53.83%\nProgress: 54.09%\nProgress: 58.32%\nProgress: 58.32%\nProgress: 64.13%\nProgress: 67.56%\nProgress: 70.73%\nProgress: 72.84%\nProgress: 75.74%\nProgress: 76.53%\nProgress: 76.53%\nProgress: 77.85%\npostprocessing...\nProgress: 92.77%\ncomplete...\nProgress: 100%\nUnits used: 3\nDownloading 934513 bytes\nDownloaded 0.89MB in 0.34sec\nVideo output frame pixel count: 125461094\nUnits used: 3", "metrics": { "predict_time": 50.873892208, "total_time": 50.886955 }, "output": "https://replicate.delivery/xezq/LYOpfltD3i0fgUPazRrebeRDkUGY7mFhp4oSmmBzD6HZkpsTB/tmpnhev3wqj.mp4", "started_at": "2025-06-27T19:42:11.719062Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-k5j2s67dfj45dbkkixpxgmxoqz6i4ssjbzjstiksynqpco5jqqpa", "get": "https://api.replicate.com/v1/predictions/xn8rszvcz9rma0cqpbmthhmyc8", "cancel": "https://api.replicate.com/v1/predictions/xn8rszvcz9rma0cqpbmthhmyc8/cancel" }, "version": "hidden" }Generated ininitializing... preprocessing... processing... Progress: 12.64% Progress: 14.49% Progress: 17.92% Progress: 20.56% Progress: 22.41% Progress: 25.05% Progress: 26.9% Progress: 30.33% Progress: 32.71% Progress: 32.97% Progress: 32.97% Progress: 38.25% Progress: 44.85% Progress: 46.96% Progress: 49.6% Progress: 51.45% Progress: 53.83% Progress: 54.09% Progress: 58.32% Progress: 58.32% Progress: 64.13% Progress: 67.56% Progress: 70.73% Progress: 72.84% Progress: 75.74% Progress: 76.53% Progress: 76.53% Progress: 77.85% postprocessing... Progress: 92.77% complete... Progress: 100% Units used: 3 Downloading 934513 bytes Downloaded 0.89MB in 0.34sec Video output frame pixel count: 125461094 Units used: 3
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