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chenxwh /ominicontrol-subject:65f94890
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=chenxwh/ominicontrol-subject
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 chenxwh/ominicontrol-subject using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"chenxwh/ominicontrol-subject:65f9489081d0f94bb3085b5a5df2758501c8620d6cb5e0b5874e8f48ba5e9cdb",
{
input: {
image: "https://replicate.delivery/pbxt/MF5rBXkFkj5E0LhAU7kT6ADRBtTwQYouMqPenUpTZocf8BuB/penguin.jpg",
model: "subject",
prompt: "On Christmas evening, on a crowded sidewalk, this item sits on the road, covered in snow and wearing a Christmas hat.",
guidance_scale: 7.5,
num_inference_steps: 50
}
}
);
// To access the file URL:
console.log(output.url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install 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 chenxwh/ominicontrol-subject using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"chenxwh/ominicontrol-subject:65f9489081d0f94bb3085b5a5df2758501c8620d6cb5e0b5874e8f48ba5e9cdb",
input={
"image": "https://replicate.delivery/pbxt/MF5rBXkFkj5E0LhAU7kT6ADRBtTwQYouMqPenUpTZocf8BuB/penguin.jpg",
"model": "subject",
"prompt": "On Christmas evening, on a crowded sidewalk, this item sits on the road, covered in snow and wearing a Christmas hat.",
"guidance_scale": 7.5,
"num_inference_steps": 50
}
)
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 chenxwh/ominicontrol-subject 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": "chenxwh/ominicontrol-subject:65f9489081d0f94bb3085b5a5df2758501c8620d6cb5e0b5874e8f48ba5e9cdb",
"input": {
"image": "https://replicate.delivery/pbxt/MF5rBXkFkj5E0LhAU7kT6ADRBtTwQYouMqPenUpTZocf8BuB/penguin.jpg",
"model": "subject",
"prompt": "On Christmas evening, on a crowded sidewalk, this item sits on the road, covered in snow and wearing a Christmas hat.",
"guidance_scale": 7.5,
"num_inference_steps": 50
}
}' \
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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terms of service and privacy policy
Output
{
"completed_at": "2024-12-31T22:57:10.260392Z",
"created_at": "2024-12-31T22:55:05.803000Z",
"data_removed": false,
"error": null,
"id": "r4xzj98g9drm80cm3vq91ztmk0",
"input": {
"image": "https://replicate.delivery/pbxt/MF5rBXkFkj5E0LhAU7kT6ADRBtTwQYouMqPenUpTZocf8BuB/penguin.jpg",
"model": "subject",
"prompt": "On Christmas evening, on a crowded sidewalk, this item sits on the road, covered in snow and wearing a Christmas hat.",
"guidance_scale": 7.5,
"num_inference_steps": 50
},
"logs": "Using seed: 43522\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:15, 3.06it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.51it/s]\n 6%|▌ | 3/50 [00:00<00:13, 3.45it/s]\n 8%|▊ | 4/50 [00:01<00:13, 3.42it/s]\n 10%|█ | 5/50 [00:01<00:13, 3.41it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.40it/s]\n 14%|█▍ | 7/50 [00:02<00:12, 3.39it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.39it/s]\n 18%|█▊ | 9/50 [00:02<00:12, 3.39it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.39it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.39it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.38it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.38it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.38it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.38it/s]\n 32%|███▏ | 16/50 [00:04<00:10, 3.38it/s]\n 34%|███▍ | 17/50 [00:05<00:09, 3.38it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.38it/s]\n 38%|███▊ | 19/50 [00:05<00:09, 3.38it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.38it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.38it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.38it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.38it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.38it/s]\n 50%|█████ | 25/50 [00:07<00:07, 3.38it/s]\n 52%|█████▏ | 26/50 [00:07<00:07, 3.38it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.37it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.37it/s]\n 58%|█████▊ | 29/50 [00:08<00:06, 3.38it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.38it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.37it/s]\n 64%|██████▍ | 32/50 [00:09<00:05, 3.37it/s]\n 66%|██████▌ | 33/50 [00:09<00:05, 3.38it/s]\n 68%|██████▊ | 34/50 [00:10<00:04, 3.38it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.37it/s]\n 72%|███████▏ | 36/50 [00:10<00:04, 3.37it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.37it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.37it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.37it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.37it/s]\n 82%|████████▏ | 41/50 [00:12<00:02, 3.37it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.37it/s]\n 86%|████████▌ | 43/50 [00:12<00:02, 3.37it/s]\n 88%|████████▊ | 44/50 [00:13<00:01, 3.37it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.37it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.37it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.37it/s]\n 96%|█████████▌| 48/50 [00:14<00:00, 3.37it/s]\n 98%|█████████▊| 49/50 [00:14<00:00, 3.37it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.37it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.38it/s]",
"metrics": {
"predict_time": 15.584385529,
"total_time": 124.457392
},
"output": "https://replicate.delivery/xezq/m8UefzxNznpvP0aqvZccfwpoJETfz2IefGSZwljMx2vvxoIAF/out.png",
"started_at": "2024-12-31T22:56:54.676007Z",
"status": "succeeded",
"urls": {
"stream": "https://stream.replicate.com/v1/files/bcwr-px7b2xvyzsxeakxkjaeijhs5foxiwzue5uxugyb5su4fbenfrjhq",
"get": "https://api.replicate.com/v1/predictions/r4xzj98g9drm80cm3vq91ztmk0",
"cancel": "https://api.replicate.com/v1/predictions/r4xzj98g9drm80cm3vq91ztmk0/cancel"
},
"version": "65f9489081d0f94bb3085b5a5df2758501c8620d6cb5e0b5874e8f48ba5e9cdb"
}Generated in
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