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omniedgeio /virtual-dressing:d6835398
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=omniedgeio/virtual-dressing
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_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";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run omniedgeio/virtual-dressing using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"omniedgeio/virtual-dressing:d6835398c2147f0a09a99a9f6cb59f7f87c9f72c67078f3858fc51e7eefde338",
{
input: {
seed: 0,
steps: 30,
model_image: "https://replicate.delivery/pbxt/KXZRucHM1bbj49bWhUsZRw9GD4DYpgbHuuWyknmIybMMrHWG/ltfp4dlj.jpeg",
garment_image: "https://replicate.delivery/pbxt/KXZRuw8l44Q7wIML5dhP5o47l2BEpENFQ1VpDejfUlk3nWCh/IMG_1210.jpg",
guidance_scale: 3
}
}
);
// 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 replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun omniedgeio/virtual-dressing using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"omniedgeio/virtual-dressing:d6835398c2147f0a09a99a9f6cb59f7f87c9f72c67078f3858fc51e7eefde338",
input={
"seed": 0,
"steps": 30,
"model_image": "https://replicate.delivery/pbxt/KXZRucHM1bbj49bWhUsZRw9GD4DYpgbHuuWyknmIybMMrHWG/ltfp4dlj.jpeg",
"garment_image": "https://replicate.delivery/pbxt/KXZRuw8l44Q7wIML5dhP5o47l2BEpENFQ1VpDejfUlk3nWCh/IMG_1210.jpg",
"guidance_scale": 3
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run omniedgeio/virtual-dressing 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": "omniedgeio/virtual-dressing:d6835398c2147f0a09a99a9f6cb59f7f87c9f72c67078f3858fc51e7eefde338",
"input": {
"seed": 0,
"steps": 30,
"model_image": "https://replicate.delivery/pbxt/KXZRucHM1bbj49bWhUsZRw9GD4DYpgbHuuWyknmIybMMrHWG/ltfp4dlj.jpeg",
"garment_image": "https://replicate.delivery/pbxt/KXZRuw8l44Q7wIML5dhP5o47l2BEpENFQ1VpDejfUlk3nWCh/IMG_1210.jpg",
"guidance_scale": 3
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
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Output
{
"completed_at": "2024-03-09T16:11:12.545285Z",
"created_at": "2024-03-09T16:06:42.585097Z",
"data_removed": false,
"error": null,
"id": "pnlitubbsijhrk2eloitp5p4si",
"input": {
"seed": 0,
"steps": 30,
"model_image": "https://replicate.delivery/pbxt/KXZRucHM1bbj49bWhUsZRw9GD4DYpgbHuuWyknmIybMMrHWG/ltfp4dlj.jpeg",
"garment_image": "https://replicate.delivery/pbxt/KXZRuw8l44Q7wIML5dhP5o47l2BEpENFQ1VpDejfUlk3nWCh/IMG_1210.jpg",
"guidance_scale": 3
},
"logs": "Model parse in 0.67 seconds.\n0: 640x480 1 person, 153.6ms\nSpeed: 8.1ms preprocess, 153.6ms inference, 508.6ms postprocess per image at shape (1, 3, 640, 480)\nOpen pose in 1.25 seconds.\nInitial seed: 0\n 0%| | 0/30 [00:00<?, ?it/s]\n 3%|▎ | 1/30 [00:00<00:05, 5.79it/s]\n 7%|▋ | 2/30 [00:00<00:04, 6.32it/s]\n 10%|█ | 3/30 [00:00<00:04, 6.00it/s]\n 13%|█▎ | 4/30 [00:00<00:04, 6.30it/s]\n 17%|█▋ | 5/30 [00:00<00:03, 6.48it/s]\n 20%|██ | 6/30 [00:00<00:03, 6.59it/s]\n 23%|██▎ | 7/30 [00:01<00:03, 6.67it/s]\n 27%|██▋ | 8/30 [00:01<00:03, 6.71it/s]\n 30%|███ | 9/30 [00:01<00:03, 6.76it/s]\n 33%|███▎ | 10/30 [00:01<00:02, 6.77it/s]\n 37%|███▋ | 11/30 [00:01<00:02, 6.77it/s]\n 40%|████ | 12/30 [00:01<00:02, 6.79it/s]\n 43%|████▎ | 13/30 [00:01<00:02, 6.80it/s]\n 47%|████▋ | 14/30 [00:02<00:02, 6.79it/s]\n 50%|█████ | 15/30 [00:02<00:02, 6.79it/s]\n 53%|█████▎ | 16/30 [00:02<00:02, 6.79it/s]\n 57%|█████▋ | 17/30 [00:02<00:01, 6.79it/s]\n 60%|██████ | 18/30 [00:02<00:01, 6.79it/s]\n 63%|██████▎ | 19/30 [00:02<00:01, 6.81it/s]\n 67%|██████▋ | 20/30 [00:02<00:01, 6.81it/s]\n 70%|███████ | 21/30 [00:03<00:01, 6.82it/s]\n 73%|███████▎ | 22/30 [00:03<00:01, 6.85it/s]\n 77%|███████▋ | 23/30 [00:03<00:01, 6.83it/s]\n 80%|████████ | 24/30 [00:03<00:00, 6.83it/s]\n 83%|████████▎ | 25/30 [00:03<00:00, 6.83it/s]\n 87%|████████▋ | 26/30 [00:03<00:00, 6.83it/s]\n 90%|█████████ | 27/30 [00:04<00:00, 6.83it/s]\n 93%|█████████▎| 28/30 [00:04<00:00, 6.83it/s]\n 97%|█████████▋| 29/30 [00:04<00:00, 6.83it/s]\n100%|██████████| 30/30 [00:04<00:00, 6.82it/s]\n100%|██████████| 30/30 [00:04<00:00, 6.73it/s]",
"metrics": {
"predict_time": 8.157579,
"total_time": 269.960188
},
"output": "https://replicate.delivery/pbxt/wlxnTmA9zMYDLB3vYKeuLSkFtMMwADiNxWLA9JLf6wEgwjekA/tmphdt92l5m.jpg",
"started_at": "2024-03-09T16:11:04.387706Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/pnlitubbsijhrk2eloitp5p4si",
"cancel": "https://api.replicate.com/v1/predictions/pnlitubbsijhrk2eloitp5p4si/cancel"
},
"version": "d6835398c2147f0a09a99a9f6cb59f7f87c9f72c67078f3858fc51e7eefde338"
}Generated in
Model parse in 0.67 seconds.
0: 640x480 1 person, 153.6ms
Speed: 8.1ms preprocess, 153.6ms inference, 508.6ms postprocess per image at shape (1, 3, 640, 480)
Open pose in 1.25 seconds.
Initial seed: 0
0%| | 0/30 [00:00<?, ?it/s]
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17%|█▋ | 5/30 [00:00<00:03, 6.48it/s]
20%|██ | 6/30 [00:00<00:03, 6.59it/s]
23%|██▎ | 7/30 [00:01<00:03, 6.67it/s]
27%|██▋ | 8/30 [00:01<00:03, 6.71it/s]
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100%|██████████| 30/30 [00:04<00:00, 6.82it/s]
100%|██████████| 30/30 [00:04<00:00, 6.73it/s]