lucataco
/
seine
Image-to-video - SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
Prediction
lucataco/seine:a3a0a85fIDqjndjklbtskvimqi5kha6esrraStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", { input: { image: "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", width: 560, height: 240, run_time: 13, cfg_scale: 8, num_frames: 16, num_sampling_steps: 250 } } ); console.log(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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", input={ "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/seine 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": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", "input": { "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11 \ -i 'image="https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png"' \ -i 'width=560' \ -i 'height=240' \ -i 'run_time=13' \ -i 'cfg_scale=8' \ -i 'num_frames=16' \ -i 'num_sampling_steps=250'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-11-21T03:50:58.585595Z", "created_at": "2023-11-21T03:49:56.080224Z", "data_removed": false, "error": null, "id": "qjndjklbtskvimqi5kha6esrra", "input": { "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }, "logs": "Using seed: 21512\nloading model\nloading succeed\nWarnning: using half percision for inferencing!\nloading video from /tmp/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.png\nloading the input image\n 0%| | 0/250 [00:00<?, ?it/s]\n 0%| | 1/250 [00:00<00:44, 5.56it/s]\n 1%| | 2/250 [00:00<00:43, 5.66it/s]\n 1%| | 3/250 [00:00<00:43, 5.69it/s]\n 2%|▏ | 4/250 [00:00<00:43, 5.69it/s]\n 2%|▏ | 5/250 [00:00<00:42, 5.70it/s]\n 2%|▏ | 6/250 [00:01<00:42, 5.71it/s]\n 3%|▎ | 7/250 [00:01<00:42, 5.72it/s]\n 3%|▎ | 8/250 [00:01<00:42, 5.73it/s]\n 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[00:43<00:00, 5.73it/s]\n 99%|█████████▉| 248/250 [00:43<00:00, 5.73it/s]\n100%|█████████▉| 249/250 [00:43<00:00, 5.73it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.73it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.72it/s]\nsave in /src/results/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.mp4\n/src/results/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.mp4", "metrics": { "predict_time": 62.468077, "total_time": 62.505371 }, "output": "https://replicate.delivery/pbxt/S6bAeeelpZAfaS8qYxMdukC0e6Cw9uStKr0YPnFeCJYqIbneIA/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.mp4", "started_at": "2023-11-21T03:49:56.117518Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/qjndjklbtskvimqi5kha6esrra", "cancel": "https://api.replicate.com/v1/predictions/qjndjklbtskvimqi5kha6esrra/cancel" }, "version": "1aeb6e62815d19c2ed731b95879fcc29040ff80d46a5543f71e711b5522eae17" }
Generated inUsing seed: 21512 loading model loading succeed Warnning: using half percision for inferencing! loading video from /tmp/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.png loading the input image 0%| | 0/250 [00:00<?, ?it/s] 0%| | 1/250 [00:00<00:44, 5.56it/s] 1%| | 2/250 [00:00<00:43, 5.66it/s] 1%| | 3/250 [00:00<00:43, 5.69it/s] 2%|▏ | 4/250 [00:00<00:43, 5.69it/s] 2%|▏ | 5/250 [00:00<00:42, 5.70it/s] 2%|▏ | 6/250 [00:01<00:42, 5.71it/s] 3%|▎ | 7/250 [00:01<00:42, 5.72it/s] 3%|▎ | 8/250 [00:01<00:42, 5.73it/s] 4%|▎ | 9/250 [00:01<00:42, 5.73it/s] 4%|▍ | 10/250 [00:01<00:41, 5.73it/s] 4%|▍ | 11/250 [00:01<00:41, 5.73it/s] 5%|▍ | 12/250 [00:02<00:41, 5.73it/s] 5%|▌ | 13/250 [00:02<00:41, 5.73it/s] 6%|▌ | 14/250 [00:02<00:41, 5.73it/s] 6%|▌ | 15/250 [00:02<00:41, 5.73it/s] 6%|▋ | 16/250 [00:02<00:40, 5.73it/s] 7%|▋ | 17/250 [00:02<00:40, 5.73it/s] 7%|▋ | 18/250 [00:03<00:40, 5.73it/s] 8%|▊ | 19/250 [00:03<00:40, 5.74it/s] 8%|▊ | 20/250 [00:03<00:40, 5.74it/s] 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[00:42<00:00, 5.73it/s] 99%|█████████▉| 247/250 [00:43<00:00, 5.73it/s] 99%|█████████▉| 248/250 [00:43<00:00, 5.73it/s] 100%|█████████▉| 249/250 [00:43<00:00, 5.73it/s] 100%|██████████| 250/250 [00:43<00:00, 5.73it/s] 100%|██████████| 250/250 [00:43<00:00, 5.72it/s] save in /src/results/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.mp4 /src/results/tmpt20958ecClose-up_essence_is_poured_from_bottleKodak_Vision.mp4
Prediction
lucataco/seine:a3a0a85fIDt4zo53lbloq4mot2zeq52bi6jmStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", { input: { image: "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", width: 560, height: 240, run_time: 13, cfg_scale: 8, num_frames: 16, num_sampling_steps: 250 } } ); console.log(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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", input={ "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/seine 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": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", "input": { "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11 \ -i 'image="https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg"' \ -i 'width=560' \ -i 'height=240' \ -i 'run_time=13' \ -i 'cfg_scale=8' \ -i 'num_frames=16' \ -i 'num_sampling_steps=250'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-11-21T03:54:04.596777Z", "created_at": "2023-11-21T03:53:01.960779Z", "data_removed": false, "error": null, "id": "t4zo53lbloq4mot2zeq52bi6jm", "input": { "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }, "logs": "Using seed: 59938\nloading model\nloading succeed\nWarnning: using half percision for inferencing!\nloading video from /tmp/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.jpg\nloading the input image\n 0%| | 0/250 [00:00<?, ?it/s]\n 0%| | 1/250 [00:00<00:44, 5.59it/s]\n 1%| | 2/250 [00:00<00:43, 5.68it/s]\n 1%| | 3/250 [00:00<00:43, 5.70it/s]\n 2%|▏ | 4/250 [00:00<00:43, 5.72it/s]\n 2%|▏ | 5/250 [00:00<00:42, 5.72it/s]\n 2%|▏ | 6/250 [00:01<00:42, 5.73it/s]\n 3%|▎ | 7/250 [00:01<00:42, 5.73it/s]\n 3%|▎ | 8/250 [00:01<00:42, 5.74it/s]\n 4%|▎ | 9/250 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99%|█████████▉| 248/250 [00:43<00:00, 5.72it/s]\n100%|█████████▉| 249/250 [00:43<00:00, 5.72it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.72it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.73it/s]\nsave in /src/results/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.mp4\n/src/results/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.mp4", "metrics": { "predict_time": 62.619874, "total_time": 62.635998 }, "output": "https://replicate.delivery/pbxt/yf6qS3PJK3wUJKrvAP6Y98kLCq2Il69ReGgXUu47ygf5e2pHB/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.mp4", "started_at": "2023-11-21T03:53:01.976903Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/t4zo53lbloq4mot2zeq52bi6jm", "cancel": "https://api.replicate.com/v1/predictions/t4zo53lbloq4mot2zeq52bi6jm/cancel" }, "version": "1aeb6e62815d19c2ed731b95879fcc29040ff80d46a5543f71e711b5522eae17" }
Generated inUsing seed: 59938 loading model loading succeed Warnning: using half percision for inferencing! loading video from /tmp/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.jpg loading the input image 0%| | 0/250 [00:00<?, ?it/s] 0%| | 1/250 [00:00<00:44, 5.59it/s] 1%| | 2/250 [00:00<00:43, 5.68it/s] 1%| | 3/250 [00:00<00:43, 5.70it/s] 2%|▏ | 4/250 [00:00<00:43, 5.72it/s] 2%|▏ | 5/250 [00:00<00:42, 5.72it/s] 2%|▏ | 6/250 [00:01<00:42, 5.73it/s] 3%|▎ | 7/250 [00:01<00:42, 5.73it/s] 3%|▎ | 8/250 [00:01<00:42, 5.74it/s] 4%|▎ | 9/250 [00:01<00:42, 5.74it/s] 4%|▍ | 10/250 [00:01<00:41, 5.74it/s] 4%|▍ | 11/250 [00:01<00:41, 5.74it/s] 5%|▍ | 12/250 [00:02<00:41, 5.74it/s] 5%|▌ | 13/250 [00:02<00:41, 5.74it/s] 6%|▌ | 14/250 [00:02<00:41, 5.74it/s] 6%|▌ | 15/250 [00:02<00:40, 5.74it/s] 6%|▋ | 16/250 [00:02<00:40, 5.74it/s] 7%|▋ | 17/250 [00:02<00:40, 5.74it/s] 7%|▋ | 18/250 [00:03<00:40, 5.74it/s] 8%|▊ | 19/250 [00:03<00:40, 5.74it/s] 8%|▊ | 20/250 [00:03<00:40, 5.74it/s] 8%|▊ | 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[00:42<00:00, 5.73it/s] 99%|█████████▉| 247/250 [00:43<00:00, 5.72it/s] 99%|█████████▉| 248/250 [00:43<00:00, 5.72it/s] 100%|█████████▉| 249/250 [00:43<00:00, 5.72it/s] 100%|██████████| 250/250 [00:43<00:00, 5.72it/s] 100%|██████████| 250/250 [00:43<00:00, 5.73it/s] save in /src/results/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.mp4 /src/results/tmpc85jyy08The_picture_shows_the_beauty_of_the_sea_.mp4
Prediction
lucataco/seine:a3a0a85fIDgipolmtbtsneamwsetejlgx3c4StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", { input: { image: "https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png", width: 560, height: 240, run_time: 13, cfg_scale: 8, num_frames: 16, num_sampling_steps: 250 } } ); console.log(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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", input={ "image": "https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/seine 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": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", "input": { "image": "https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11 \ -i 'image="https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png"' \ -i 'width=560' \ -i 'height=240' \ -i 'run_time=13' \ -i 'cfg_scale=8' \ -i 'num_frames=16' \ -i 'num_sampling_steps=250'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-11-21T03:55:19.765645Z", "created_at": "2023-11-21T03:54:17.187823Z", "data_removed": false, "error": null, "id": "gipolmtbtsneamwsetejlgx3c4", "input": { "image": "https://replicate.delivery/pbxt/JuhSfXQbESEhfTUd6btO1mBd6PaPXUYbJ5E91XgBV64ILTiq/The_picture_shows_the_beauty_of_the_sea.png", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }, "logs": "Using seed: 30355\nloading model\nloading succeed\nWarnning: using half percision for inferencing!\nloading video from /tmp/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.png\nloading the input image\n 0%| | 0/250 [00:00<?, ?it/s]\n 0%| | 1/250 [00:00<00:44, 5.54it/s]\n 1%| | 2/250 [00:00<00:43, 5.65it/s]\n 1%| | 3/250 [00:00<00:43, 5.69it/s]\n 2%|▏ | 4/250 [00:00<00:43, 5.71it/s]\n 2%|▏ | 5/250 [00:00<00:42, 5.73it/s]\n 2%|▏ | 6/250 [00:01<00:42, 5.73it/s]\n 3%|▎ | 7/250 [00:01<00:42, 5.74it/s]\n 3%|▎ | 8/250 [00:01<00:42, 5.74it/s]\n 4%|▎ | 9/250 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91%|█████████ | 228/250 [00:39<00:03, 5.74it/s]\n 92%|█████████▏| 229/250 [00:39<00:03, 5.74it/s]\n 92%|█████████▏| 230/250 [00:40<00:03, 5.74it/s]\n 92%|█████████▏| 231/250 [00:40<00:03, 5.75it/s]\n 93%|█████████▎| 232/250 [00:40<00:03, 5.75it/s]\n 93%|█████████▎| 233/250 [00:40<00:02, 5.74it/s]\n 94%|█████████▎| 234/250 [00:40<00:02, 5.74it/s]\n 94%|█████████▍| 235/250 [00:40<00:02, 5.74it/s]\n 94%|█████████▍| 236/250 [00:41<00:02, 5.73it/s]\n 95%|█████████▍| 237/250 [00:41<00:02, 5.73it/s]\n 95%|█████████▌| 238/250 [00:41<00:02, 5.73it/s]\n 96%|█████████▌| 239/250 [00:41<00:01, 5.74it/s]\n 96%|█████████▌| 240/250 [00:41<00:01, 5.74it/s]\n 96%|█████████▋| 241/250 [00:42<00:01, 5.73it/s]\n 97%|█████████▋| 242/250 [00:42<00:01, 5.74it/s]\n 97%|█████████▋| 243/250 [00:42<00:01, 5.73it/s]\n 98%|█████████▊| 244/250 [00:42<00:01, 5.73it/s]\n 98%|█████████▊| 245/250 [00:42<00:00, 5.73it/s]\n 98%|█████████▊| 246/250 [00:42<00:00, 5.72it/s]\n 99%|█████████▉| 247/250 [00:43<00:00, 5.73it/s]\n 99%|█████████▉| 248/250 [00:43<00:00, 5.73it/s]\n100%|█████████▉| 249/250 [00:43<00:00, 5.73it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.73it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.74it/s]\nsave in /src/results/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.mp4\n/src/results/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.mp4", "metrics": { "predict_time": 62.560331, "total_time": 62.577822 }, "output": "https://replicate.delivery/pbxt/57JTOMhdBw6uLJwMrICSMeLhiuVlrJR97MfzpAsm1Bwnwd6RA/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.mp4", "started_at": "2023-11-21T03:54:17.205314Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gipolmtbtsneamwsetejlgx3c4", "cancel": "https://api.replicate.com/v1/predictions/gipolmtbtsneamwsetejlgx3c4/cancel" }, "version": "1aeb6e62815d19c2ed731b95879fcc29040ff80d46a5543f71e711b5522eae17" }
Generated inUsing seed: 30355 loading model loading succeed Warnning: using half percision for inferencing! loading video from /tmp/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.png loading the input image 0%| | 0/250 [00:00<?, ?it/s] 0%| | 1/250 [00:00<00:44, 5.54it/s] 1%| | 2/250 [00:00<00:43, 5.65it/s] 1%| | 3/250 [00:00<00:43, 5.69it/s] 2%|▏ | 4/250 [00:00<00:43, 5.71it/s] 2%|▏ | 5/250 [00:00<00:42, 5.73it/s] 2%|▏ | 6/250 [00:01<00:42, 5.73it/s] 3%|▎ | 7/250 [00:01<00:42, 5.74it/s] 3%|▎ | 8/250 [00:01<00:42, 5.74it/s] 4%|▎ | 9/250 [00:01<00:41, 5.74it/s] 4%|▍ | 10/250 [00:01<00:41, 5.74it/s] 4%|▍ | 11/250 [00:01<00:41, 5.74it/s] 5%|▍ | 12/250 [00:02<00:41, 5.74it/s] 5%|▌ | 13/250 [00:02<00:41, 5.75it/s] 6%|▌ | 14/250 [00:02<00:41, 5.75it/s] 6%|▌ | 15/250 [00:02<00:40, 5.75it/s] 6%|▋ | 16/250 [00:02<00:40, 5.74it/s] 7%|▋ | 17/250 [00:02<00:40, 5.74it/s] 7%|▋ | 18/250 [00:03<00:40, 5.75it/s] 8%|▊ | 19/250 [00:03<00:40, 5.74it/s] 8%|▊ | 20/250 [00:03<00:40, 5.75it/s] 8%|▊ | 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[00:42<00:00, 5.72it/s] 99%|█████████▉| 247/250 [00:43<00:00, 5.73it/s] 99%|█████████▉| 248/250 [00:43<00:00, 5.73it/s] 100%|█████████▉| 249/250 [00:43<00:00, 5.73it/s] 100%|██████████| 250/250 [00:43<00:00, 5.73it/s] 100%|██████████| 250/250 [00:43<00:00, 5.74it/s] save in /src/results/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.mp4 /src/results/tmp4z27efqqThe_picture_shows_the_beauty_of_the_sea.mp4
Prediction
lucataco/seine:a3a0a85fIDb45smntb4vlemmkle6tdxe2xpeStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", { input: { image: "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", width: 512, height: 512, run_time: 13, cfg_scale: 8, num_frames: 16, num_sampling_steps: 250 } } ); console.log(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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", input={ "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/seine 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": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", "input": { "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11 \ -i 'image="https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png"' \ -i 'width=512' \ -i 'height=512' \ -i 'run_time=13' \ -i 'cfg_scale=8' \ -i 'num_frames=16' \ -i 'num_sampling_steps=250'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-11-21T03:57:19.862133Z", "created_at": "2023-11-21T03:55:38.143323Z", "data_removed": false, "error": null, "id": "b45smntb4vlemmkle6tdxe2xpe", "input": { "image": "https://replicate.delivery/pbxt/Judnec2FehJYrc8aGo8VWNWnhTyUrmo58ONRiKseUvyYDkZH/Close-up_essence_is_poured_from_bottleKodak_Vision.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }, "logs": "Using seed: 53497\nloading model\nloading succeed\nWarnning: using half percision for inferencing!\nloading video from /tmp/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.png\nloading the input image\n 0%| | 0/250 [00:00<?, ?it/s]\n 0%| | 1/250 [00:00<01:22, 3.03it/s]\n 1%| | 2/250 [00:00<01:21, 3.04it/s]\n 1%| | 3/250 [00:00<01:20, 3.05it/s]\n 2%|▏ | 4/250 [00:01<01:20, 3.05it/s]\n 2%|▏ | 5/250 [00:01<01:20, 3.05it/s]\n 2%|▏ | 6/250 [00:01<01:19, 3.05it/s]\n 3%|▎ | 7/250 [00:02<01:19, 3.05it/s]\n 3%|▎ | 8/250 [00:02<01:19, 3.05it/s]\n 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[01:21<00:00, 3.04it/s]\n 99%|█████████▉| 248/250 [01:21<00:00, 3.04it/s]\n100%|█████████▉| 249/250 [01:21<00:00, 3.04it/s]\n100%|██████████| 250/250 [01:22<00:00, 3.04it/s]\n100%|██████████| 250/250 [01:22<00:00, 3.04it/s]\nsave in /src/results/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.mp4\n/src/results/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.mp4", "metrics": { "predict_time": 101.702769, "total_time": 101.71881 }, "output": "https://replicate.delivery/pbxt/tx5RzdzWeep8QEaVMpqeHM5cGf1YijdGj4vNMYftBIefP5O9IA/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.mp4", "started_at": "2023-11-21T03:55:38.159364Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/b45smntb4vlemmkle6tdxe2xpe", "cancel": "https://api.replicate.com/v1/predictions/b45smntb4vlemmkle6tdxe2xpe/cancel" }, "version": "1aeb6e62815d19c2ed731b95879fcc29040ff80d46a5543f71e711b5522eae17" }
Generated inUsing seed: 53497 loading model loading succeed Warnning: using half percision for inferencing! loading video from /tmp/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.png loading the input image 0%| | 0/250 [00:00<?, ?it/s] 0%| | 1/250 [00:00<01:22, 3.03it/s] 1%| | 2/250 [00:00<01:21, 3.04it/s] 1%| | 3/250 [00:00<01:20, 3.05it/s] 2%|▏ | 4/250 [00:01<01:20, 3.05it/s] 2%|▏ | 5/250 [00:01<01:20, 3.05it/s] 2%|▏ | 6/250 [00:01<01:19, 3.05it/s] 3%|▎ | 7/250 [00:02<01:19, 3.05it/s] 3%|▎ | 8/250 [00:02<01:19, 3.05it/s] 4%|▎ | 9/250 [00:02<01:18, 3.05it/s] 4%|▍ | 10/250 [00:03<01:18, 3.05it/s] 4%|▍ | 11/250 [00:03<01:18, 3.05it/s] 5%|▍ | 12/250 [00:03<01:17, 3.05it/s] 5%|▌ | 13/250 [00:04<01:17, 3.06it/s] 6%|▌ | 14/250 [00:04<01:17, 3.06it/s] 6%|▌ | 15/250 [00:04<01:16, 3.06it/s] 6%|▋ | 16/250 [00:05<01:16, 3.06it/s] 7%|▋ | 17/250 [00:05<01:16, 3.05it/s] 7%|▋ | 18/250 [00:05<01:15, 3.06it/s] 8%|▊ | 19/250 [00:06<01:15, 3.06it/s] 8%|▊ | 20/250 [00:06<01:15, 3.06it/s] 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[01:20<00:01, 3.04it/s] 99%|█████████▉| 247/250 [01:21<00:00, 3.04it/s] 99%|█████████▉| 248/250 [01:21<00:00, 3.04it/s] 100%|█████████▉| 249/250 [01:21<00:00, 3.04it/s] 100%|██████████| 250/250 [01:22<00:00, 3.04it/s] 100%|██████████| 250/250 [01:22<00:00, 3.04it/s] save in /src/results/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.mp4 /src/results/tmphwcurtpfClose-up_essence_is_poured_from_bottleKodak_Vision.mp4
Prediction
lucataco/seine:a3a0a85fID76bkz4dbcwis3i6xgjhzrgw55yStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", { input: { image: "https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png", width: 512, height: 512, run_time: 13, cfg_scale: 8, num_frames: 16, num_sampling_steps: 250 } } ); console.log(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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", input={ "image": "https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/seine 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": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", "input": { "image": "https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11 \ -i 'image="https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png"' \ -i 'width=512' \ -i 'height=512' \ -i 'run_time=13' \ -i 'cfg_scale=8' \ -i 'num_frames=16' \ -i 'num_sampling_steps=250'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-11-21T03:59:18.153312Z", "created_at": "2023-11-21T03:57:34.028665Z", "data_removed": false, "error": null, "id": "76bkz4dbcwis3i6xgjhzrgw55y", "input": { "image": "https://replicate.delivery/pbxt/JuhVmZqdxt4LZD0GretVV8cXirxwAH9VMfa71triy7LJPWxC/The_picture_shows_the_beauty_of_the_sea_and_at_the_same.png", "width": 512, "height": 512, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }, "logs": "Using seed: 50504\nloading model\nloading succeed\nWarnning: using half percision for inferencing!\nloading video from /tmp/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.png\nloading the input image\n 0%| | 0/250 [00:00<?, ?it/s]\n 0%| | 1/250 [00:00<01:22, 3.03it/s]\n 1%| | 2/250 [00:00<01:21, 3.04it/s]\n 1%| | 3/250 [00:00<01:21, 3.05it/s]\n 2%|▏ | 4/250 [00:01<01:20, 3.05it/s]\n 2%|▏ | 5/250 [00:01<01:20, 3.05it/s]\n 2%|▏ | 6/250 [00:01<01:19, 3.05it/s]\n 3%|▎ | 7/250 [00:02<01:19, 3.05it/s]\n 3%|▎ | 8/250 [00:02<01:19, 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[01:21<00:00, 3.04it/s]\n 99%|█████████▉| 248/250 [01:21<00:00, 3.04it/s]\n100%|█████████▉| 249/250 [01:21<00:00, 3.04it/s]\n100%|██████████| 250/250 [01:22<00:00, 3.04it/s]\n100%|██████████| 250/250 [01:22<00:00, 3.04it/s]\nsave in /src/results/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.mp4\n/src/results/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.mp4", "metrics": { "predict_time": 101.678848, "total_time": 104.124647 }, "output": "https://replicate.delivery/pbxt/Gz2pJ6KRZI5DApb7Vshbe90GXIOcOEFNbBirH4vGtZzK6O9IA/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.mp4", "started_at": "2023-11-21T03:57:36.474464Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/76bkz4dbcwis3i6xgjhzrgw55y", "cancel": "https://api.replicate.com/v1/predictions/76bkz4dbcwis3i6xgjhzrgw55y/cancel" }, "version": "1aeb6e62815d19c2ed731b95879fcc29040ff80d46a5543f71e711b5522eae17" }
Generated inUsing seed: 50504 loading model loading succeed Warnning: using half percision for inferencing! loading video from /tmp/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.png loading the input image 0%| | 0/250 [00:00<?, ?it/s] 0%| | 1/250 [00:00<01:22, 3.03it/s] 1%| | 2/250 [00:00<01:21, 3.04it/s] 1%| | 3/250 [00:00<01:21, 3.05it/s] 2%|▏ | 4/250 [00:01<01:20, 3.05it/s] 2%|▏ | 5/250 [00:01<01:20, 3.05it/s] 2%|▏ | 6/250 [00:01<01:19, 3.05it/s] 3%|▎ | 7/250 [00:02<01:19, 3.05it/s] 3%|▎ | 8/250 [00:02<01:19, 3.05it/s] 4%|▎ | 9/250 [00:02<01:18, 3.05it/s] 4%|▍ | 10/250 [00:03<01:18, 3.05it/s] 4%|▍ | 11/250 [00:03<01:18, 3.05it/s] 5%|▍ | 12/250 [00:03<01:18, 3.05it/s] 5%|▌ | 13/250 [00:04<01:17, 3.05it/s] 6%|▌ | 14/250 [00:04<01:17, 3.05it/s] 6%|▌ | 15/250 [00:04<01:17, 3.05it/s] 6%|▋ | 16/250 [00:05<01:16, 3.05it/s] 7%|▋ | 17/250 [00:05<01:16, 3.05it/s] 7%|▋ | 18/250 [00:05<01:15, 3.05it/s] 8%|▊ | 19/250 [00:06<01:15, 3.05it/s] 8%|▊ | 20/250 [00:06<01:15, 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98%|█████████▊| 246/250 [01:20<00:01, 3.04it/s] 99%|█████████▉| 247/250 [01:21<00:00, 3.04it/s] 99%|█████████▉| 248/250 [01:21<00:00, 3.04it/s] 100%|█████████▉| 249/250 [01:21<00:00, 3.04it/s] 100%|██████████| 250/250 [01:22<00:00, 3.04it/s] 100%|██████████| 250/250 [01:22<00:00, 3.04it/s] save in /src/results/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.mp4 /src/results/tmp7ub178kjThe_picture_shows_the_beauty_of_the_sea_and_at_the_same.mp4
Prediction
lucataco/seine:a3a0a85fID67kha3rbqvymxk4ymmfrawlj24StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
{ "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", { input: { image: "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", width: 560, height: 240, run_time: 13, cfg_scale: 8, num_frames: 16, num_sampling_steps: 250 } } ); console.log(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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run lucataco/seine using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "lucataco/seine:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", input={ "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/seine 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": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11", "input": { "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11 \ -i 'image="https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg"' \ -i 'width=560' \ -i 'height=240' \ -i 'run_time=13' \ -i 'cfg_scale=8' \ -i 'num_frames=16' \ -i 'num_sampling_steps=250'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/seine@sha256:a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2023-11-23T06:05:30.847913Z", "created_at": "2023-11-23T06:04:22.611144Z", "data_removed": false, "error": null, "id": "67kha3rbqvymxk4ymmfrawlj24", "input": { "image": "https://replicate.delivery/pbxt/JuhRUNPhsIsNIWrFdU8raXtP6rb5eSAUALNZKnkG4gWSeWvY/The_picture_shows_the_beauty_of_the_sea_.jpg", "width": 560, "height": 240, "run_time": 13, "cfg_scale": 8, "num_frames": 16, "num_sampling_steps": 250 }, "logs": "Using seed: 28954\nloading model\nloading succeed\nWarnning: using half percision for inferencing!\nloading video from /tmp/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.jpg\nloading the input image\n 0%| | 0/250 [00:00<?, ?it/s]\n 0%| | 1/250 [00:00<00:56, 4.38it/s]\n 1%| | 2/250 [00:00<00:48, 5.09it/s]\n 1%| | 3/250 [00:00<00:46, 5.36it/s]\n 2%|▏ | 4/250 [00:00<00:44, 5.50it/s]\n 2%|▏ | 5/250 [00:00<00:43, 5.58it/s]\n 2%|▏ | 6/250 [00:01<00:43, 5.63it/s]\n 3%|▎ | 7/250 [00:01<00:42, 5.66it/s]\n 3%|▎ | 8/250 [00:01<00:42, 5.68it/s]\n 4%|▎ | 9/250 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91%|█████████ | 228/250 [00:39<00:03, 5.73it/s]\n 92%|█████████▏| 229/250 [00:40<00:03, 5.72it/s]\n 92%|█████████▏| 230/250 [00:40<00:03, 5.73it/s]\n 92%|█████████▏| 231/250 [00:40<00:03, 5.73it/s]\n 93%|█████████▎| 232/250 [00:40<00:03, 5.73it/s]\n 93%|█████████▎| 233/250 [00:40<00:02, 5.73it/s]\n 94%|█████████▎| 234/250 [00:40<00:02, 5.73it/s]\n 94%|█████████▍| 235/250 [00:41<00:02, 5.73it/s]\n 94%|█████████▍| 236/250 [00:41<00:02, 5.73it/s]\n 95%|█████████▍| 237/250 [00:41<00:02, 5.73it/s]\n 95%|█████████▌| 238/250 [00:41<00:02, 5.72it/s]\n 96%|█████████▌| 239/250 [00:41<00:01, 5.72it/s]\n 96%|█████████▌| 240/250 [00:42<00:01, 5.73it/s]\n 96%|█████████▋| 241/250 [00:42<00:01, 5.72it/s]\n 97%|█████████▋| 242/250 [00:42<00:01, 5.72it/s]\n 97%|█████████▋| 243/250 [00:42<00:01, 5.72it/s]\n 98%|█████████▊| 244/250 [00:42<00:01, 5.72it/s]\n 98%|█████████▊| 245/250 [00:42<00:00, 5.72it/s]\n 98%|█████████▊| 246/250 [00:43<00:00, 5.73it/s]\n 99%|█████████▉| 247/250 [00:43<00:00, 5.72it/s]\n 99%|█████████▉| 248/250 [00:43<00:00, 5.72it/s]\n100%|█████████▉| 249/250 [00:43<00:00, 5.73it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.72it/s]\n100%|██████████| 250/250 [00:43<00:00, 5.71it/s]\nsave in /src/results/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.mp4\n/src/results/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.mp4", "metrics": { "predict_time": 68.222499, "total_time": 68.236769 }, "output": "https://replicate.delivery/pbxt/TXNtJYBDGzY8PhpYZemMyUFOO3A6RzPq1nYqmXkPDeeUtT2jA/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.mp4", "started_at": "2023-11-23T06:04:22.625414Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/67kha3rbqvymxk4ymmfrawlj24", "cancel": "https://api.replicate.com/v1/predictions/67kha3rbqvymxk4ymmfrawlj24/cancel" }, "version": "a3a0a85f7f4dd9895ee1dd5bc8d4ffcad365c49cd94976b71603dd7fda408c11" }
Generated inUsing seed: 28954 loading model loading succeed Warnning: using half percision for inferencing! loading video from /tmp/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.jpg loading the input image 0%| | 0/250 [00:00<?, ?it/s] 0%| | 1/250 [00:00<00:56, 4.38it/s] 1%| | 2/250 [00:00<00:48, 5.09it/s] 1%| | 3/250 [00:00<00:46, 5.36it/s] 2%|▏ | 4/250 [00:00<00:44, 5.50it/s] 2%|▏ | 5/250 [00:00<00:43, 5.58it/s] 2%|▏ | 6/250 [00:01<00:43, 5.63it/s] 3%|▎ | 7/250 [00:01<00:42, 5.66it/s] 3%|▎ | 8/250 [00:01<00:42, 5.68it/s] 4%|▎ | 9/250 [00:01<00:42, 5.70it/s] 4%|▍ | 10/250 [00:01<00:42, 5.70it/s] 4%|▍ | 11/250 [00:01<00:41, 5.71it/s] 5%|▍ | 12/250 [00:02<00:41, 5.71it/s] 5%|▌ | 13/250 [00:02<00:41, 5.72it/s] 6%|▌ | 14/250 [00:02<00:41, 5.72it/s] 6%|▌ | 15/250 [00:02<00:41, 5.72it/s] 6%|▋ | 16/250 [00:02<00:40, 5.73it/s] 7%|▋ | 17/250 [00:03<00:40, 5.73it/s] 7%|▋ | 18/250 [00:03<00:40, 5.73it/s] 8%|▊ | 19/250 [00:03<00:40, 5.73it/s] 8%|▊ | 20/250 [00:03<00:40, 5.73it/s] 8%|▊ | 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[00:43<00:00, 5.73it/s] 99%|█████████▉| 247/250 [00:43<00:00, 5.72it/s] 99%|█████████▉| 248/250 [00:43<00:00, 5.72it/s] 100%|█████████▉| 249/250 [00:43<00:00, 5.73it/s] 100%|██████████| 250/250 [00:43<00:00, 5.72it/s] 100%|██████████| 250/250 [00:43<00:00, 5.71it/s] save in /src/results/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.mp4 /src/results/tmp8uw7ffncThe_picture_shows_the_beauty_of_the_sea_.mp4
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