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lucataco /sdxl-controlnet-openpose:d63e0b23
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=lucataco/sdxl-controlnet-openpose
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";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run lucataco/sdxl-controlnet-openpose using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/sdxl-controlnet-openpose:d63e0b238b2d963d90348e2dad19830fbe372a7a43d90d234b2b63cae76d4397",
{
input: {
seed: 25403,
image: "https://replicate.delivery/pbxt/JMf0SV6w1yp8ZcrtrYungReCNQzUUhXJHciDFi5nylAdqmCo/demo.jpg",
prompt: "a latina ballerina, romantic sunset, 4k photo",
guidance_scale: 7.5,
high_noise_frac: 0.8,
negative_prompt: "low quality, bad quality",
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 lucataco/sdxl-controlnet-openpose using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/sdxl-controlnet-openpose:d63e0b238b2d963d90348e2dad19830fbe372a7a43d90d234b2b63cae76d4397",
input={
"seed": 25403,
"image": "https://replicate.delivery/pbxt/JMf0SV6w1yp8ZcrtrYungReCNQzUUhXJHciDFi5nylAdqmCo/demo.jpg",
"prompt": "a latina ballerina, romantic sunset, 4k photo",
"guidance_scale": 7.5,
"high_noise_frac": 0.8,
"negative_prompt": "low quality, bad quality",
"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 lucataco/sdxl-controlnet-openpose using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "lucataco/sdxl-controlnet-openpose:d63e0b238b2d963d90348e2dad19830fbe372a7a43d90d234b2b63cae76d4397",
"input": {
"seed": 25403,
"image": "https://replicate.delivery/pbxt/JMf0SV6w1yp8ZcrtrYungReCNQzUUhXJHciDFi5nylAdqmCo/demo.jpg",
"prompt": "a latina ballerina, romantic sunset, 4k photo",
"guidance_scale": 7.5,
"high_noise_frac": 0.8,
"negative_prompt": "low quality, bad quality",
"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.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2023-08-17T06:24:28.501864Z",
"created_at": "2023-08-17T06:21:10.994936Z",
"data_removed": false,
"error": null,
"id": "v2doo4dbv2foj6ngr26wnjy7cm",
"input": {
"seed": 25403,
"image": "https://replicate.delivery/pbxt/JMf0SV6w1yp8ZcrtrYungReCNQzUUhXJHciDFi5nylAdqmCo/demo.jpg",
"prompt": "a latina ballerina, romantic sunset, 4k photo",
"guidance_scale": 7.5,
"high_noise_frac": 0.8,
"negative_prompt": "low quality, bad quality",
"num_inference_steps": 50
},
"logs": "Using seed: 25403\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:36, 1.35it/s]\n 4%|▍ | 2/50 [00:01<00:22, 2.09it/s]\n 6%|▌ | 3/50 [00:01<00:18, 2.54it/s]\n 8%|▊ | 4/50 [00:01<00:16, 2.82it/s]\n 10%|█ | 5/50 [00:01<00:14, 3.00it/s]\n 12%|█▏ | 6/50 [00:02<00:14, 3.13it/s]\n 14%|█▍ | 7/50 [00:02<00:13, 3.21it/s]\n 16%|█▌ | 8/50 [00:02<00:12, 3.26it/s]\n 18%|█▊ | 9/50 [00:03<00:12, 3.30it/s]\n 20%|██ | 10/50 [00:03<00:12, 3.33it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.35it/s]\n 24%|██▍ | 12/50 [00:03<00:11, 3.36it/s]\n 26%|██▌ | 13/50 [00:04<00:10, 3.36it/s]\n 28%|██▊ | 14/50 [00:04<00:10, 3.37it/s]\n 30%|███ | 15/50 [00:04<00:10, 3.37it/s]\n 32%|███▏ | 16/50 [00:05<00:10, 3.37it/s]\n 34%|███▍ | 17/50 [00:05<00:09, 3.37it/s]\n 36%|███▌ | 18/50 [00:05<00:09, 3.37it/s]\n 38%|███▊ | 19/50 [00:06<00:09, 3.37it/s]\n 40%|████ | 20/50 [00:06<00:08, 3.37it/s]\n 42%|████▏ | 21/50 [00:06<00:08, 3.37it/s]\n 44%|████▍ | 22/50 [00:06<00:08, 3.38it/s]\n 46%|████▌ | 23/50 [00:07<00:08, 3.37it/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 [00:08<00:07, 3.38it/s]\n 54%|█████▍ | 27/50 [00:08<00:06, 3.38it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.37it/s]\n 58%|█████▊ | 29/50 [00:09<00:06, 3.37it/s]\n 60%|██████ | 30/50 [00:09<00:05, 3.37it/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 [00:10<00:05, 3.36it/s]\n 68%|██████▊ | 34/50 [00:10<00:04, 3.36it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.36it/s]\n 72%|███████▏ | 36/50 [00:11<00:04, 3.36it/s]\n 74%|███████▍ | 37/50 [00:11<00:03, 3.36it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.37it/s]\n 78%|███████▊ | 39/50 [00:11<00:03, 3.38it/s]\n 80%|████████ | 40/50 [00:12<00:02, 3.38it/s]\n 82%|████████▏ | 41/50 [00:12<00:02, 3.38it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.39it/s]\n 86%|████████▌ | 43/50 [00:13<00:02, 3.39it/s]\n 88%|████████▊ | 44/50 [00:13<00:01, 3.39it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.39it/s]\n 92%|█████████▏| 46/50 [00:14<00:01, 3.39it/s]\n 94%|█████████▍| 47/50 [00:14<00:00, 3.39it/s]\n 96%|█████████▌| 48/50 [00:14<00:00, 3.39it/s]\n 98%|█████████▊| 49/50 [00:14<00:00, 3.39it/s]\n100%|██████████| 50/50 [00:15<00:00, 3.39it/s]\n100%|██████████| 50/50 [00:15<00:00, 3.28it/s]\n 0%| | 0/10 [00:00<?, ?it/s]\n 10%|█ | 1/10 [00:00<00:02, 4.22it/s]\n 20%|██ | 2/10 [00:00<00:01, 4.29it/s]\n 30%|███ | 3/10 [00:00<00:01, 4.32it/s]\n 40%|████ | 4/10 [00:00<00:01, 4.31it/s]\n 50%|█████ | 5/10 [00:01<00:01, 4.32it/s]\n 60%|██████ | 6/10 [00:01<00:00, 4.33it/s]\n 70%|███████ | 7/10 [00:01<00:00, 4.33it/s]\n 80%|████████ | 8/10 [00:01<00:00, 4.33it/s]\n 90%|█████████ | 9/10 [00:02<00:00, 4.33it/s]\n100%|██████████| 10/10 [00:02<00:00, 4.33it/s]\n100%|██████████| 10/10 [00:02<00:00, 4.32it/s]",
"metrics": {
"predict_time": 21.248046,
"total_time": 197.506928
},
"output": "https://replicate.delivery/pbxt/6qIkIhoz7EosJVfFfrQUnPYSsXfy2WIcTk9u27TM3LP44t1iA/output.png",
"started_at": "2023-08-17T06:24:07.253818Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/v2doo4dbv2foj6ngr26wnjy7cm",
"cancel": "https://api.replicate.com/v1/predictions/v2doo4dbv2foj6ngr26wnjy7cm/cancel"
},
"version": "d63e0b238b2d963d90348e2dad19830fbe372a7a43d90d234b2b63cae76d4397"
}Generated in
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