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Input
Run this model in Node.js with one line of code:
npx create-replicate --model=camenduru/crm
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 camenduru/crm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"camenduru/crm:9a17c48c7e8a6c1b75788b454a234c13833277afafda546e014e59c3837f8932",
{
input: {
seed: 1234,
scale: 5.5,
steps: 30,
image_path: "https://replicate.delivery/pbxt/KYNDxJM3CvnQzh7eKtaiTfhKXkQBdWJQAhj4jYhJNlGG0SlA/3D%E5%8D%A1%E9%80%9A%E7%8B%97.webp",
back_groud_color: "#7F7F7F",
foreground_ratio: 1,
background_choice: "Auto Remove background"
}
}
);
// 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 camenduru/crm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"camenduru/crm:9a17c48c7e8a6c1b75788b454a234c13833277afafda546e014e59c3837f8932",
input={
"seed": 1234,
"scale": 5.5,
"steps": 30,
"image_path": "https://replicate.delivery/pbxt/KYNDxJM3CvnQzh7eKtaiTfhKXkQBdWJQAhj4jYhJNlGG0SlA/3D%E5%8D%A1%E9%80%9A%E7%8B%97.webp",
"back_groud_color": "#7F7F7F",
"foreground_ratio": 1,
"background_choice": "Auto Remove background"
}
)
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 camenduru/crm 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": "camenduru/crm:9a17c48c7e8a6c1b75788b454a234c13833277afafda546e014e59c3837f8932",
"input": {
"seed": 1234,
"scale": 5.5,
"steps": 30,
"image_path": "https://replicate.delivery/pbxt/KYNDxJM3CvnQzh7eKtaiTfhKXkQBdWJQAhj4jYhJNlGG0SlA/3D%E5%8D%A1%E9%80%9A%E7%8B%97.webp",
"back_groud_color": "#7F7F7F",
"foreground_ratio": 1,
"background_choice": "Auto Remove background"
}
}' \
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": "2024-03-12T05:26:48.440479Z",
"created_at": "2024-03-12T05:20:04.032651Z",
"data_removed": false,
"error": null,
"id": "qorgb5rb5rvgpxvbtmdviall3y",
"input": {
"seed": 1234,
"scale": 5.5,
"steps": 30,
"image_path": "https://replicate.delivery/pbxt/KYNDxJM3CvnQzh7eKtaiTfhKXkQBdWJQAhj4jYhJNlGG0SlA/3D%E5%8D%A1%E9%80%9A%E7%8B%97.webp",
"back_groud_color": "#7F7F7F",
"foreground_ratio": 1,
"background_choice": "Auto Remove background"
},
"logs": "Auto Remove background\nalhpa channl not enpty, skip remove background, using alpha channel as mask\nDDIM Sampler: 0%| | 0/31 [00:00<?, ?it/s]\nDDIM Sampler: 3%|▎ | 1/31 [00:00<00:07, 3.95it/s]\nDDIM Sampler: 6%|▋ | 2/31 [00:00<00:05, 5.24it/s]\nDDIM Sampler: 10%|▉ | 3/31 [00:00<00:04, 5.91it/s]\nDDIM Sampler: 13%|█▎ | 4/31 [00:00<00:04, 6.29it/s]\nDDIM Sampler: 16%|█▌ | 5/31 [00:00<00:03, 6.52it/s]\nDDIM Sampler: 19%|█▉ | 6/31 [00:00<00:03, 6.67it/s]\nDDIM Sampler: 23%|██▎ | 7/31 [00:01<00:03, 6.77it/s]\nDDIM Sampler: 26%|██▌ | 8/31 [00:01<00:03, 6.83it/s]\nDDIM Sampler: 29%|██▉ | 9/31 [00:01<00:03, 6.88it/s]\nDDIM Sampler: 32%|███▏ | 10/31 [00:01<00:03, 6.91it/s]\nDDIM Sampler: 35%|███▌ | 11/31 [00:01<00:02, 6.93it/s]\nDDIM Sampler: 39%|███▊ | 12/31 [00:01<00:02, 6.94it/s]\nDDIM Sampler: 42%|████▏ | 13/31 [00:01<00:02, 6.95it/s]\nDDIM Sampler: 45%|████▌ | 14/31 [00:02<00:02, 6.96it/s]\nDDIM Sampler: 48%|████▊ | 15/31 [00:02<00:02, 6.96it/s]\nDDIM Sampler: 52%|█████▏ | 16/31 [00:02<00:02, 6.97it/s]\nDDIM Sampler: 55%|█████▍ | 17/31 [00:02<00:02, 6.97it/s]\nDDIM Sampler: 58%|█████▊ | 18/31 [00:02<00:01, 6.97it/s]\nDDIM Sampler: 61%|██████▏ | 19/31 [00:02<00:01, 6.98it/s]\nDDIM Sampler: 65%|██████▍ | 20/31 [00:02<00:01, 6.97it/s]\nDDIM Sampler: 68%|██████▊ | 21/31 [00:03<00:01, 6.97it/s]\nDDIM Sampler: 71%|███████ | 22/31 [00:03<00:01, 6.97it/s]\nDDIM Sampler: 74%|███████▍ | 23/31 [00:03<00:01, 6.97it/s]\nDDIM Sampler: 77%|███████▋ | 24/31 [00:03<00:01, 6.98it/s]\nDDIM Sampler: 81%|████████ | 25/31 [00:03<00:00, 6.98it/s]\nDDIM Sampler: 84%|████████▍ | 26/31 [00:03<00:00, 6.97it/s]\nDDIM Sampler: 87%|████████▋ | 27/31 [00:03<00:00, 6.97it/s]\nDDIM Sampler: 90%|█████████ | 28/31 [00:04<00:00, 6.97it/s]\nDDIM Sampler: 94%|█████████▎| 29/31 [00:04<00:00, 6.97it/s]\nDDIM Sampler: 97%|█████████▋| 30/31 [00:04<00:00, 6.97it/s]\nDDIM Sampler: 100%|██████████| 31/31 [00:04<00:00, 6.97it/s]\nDDIM Sampler: 100%|██████████| 31/31 [00:04<00:00, 6.80it/s]\nDDIM Sampler: 0%| | 0/31 [00:00<?, ?it/s]\nDDIM Sampler: 3%|▎ | 1/31 [00:00<00:04, 6.06it/s]\nDDIM Sampler: 6%|▋ | 2/31 [00:00<00:04, 7.24it/s]\nDDIM Sampler: 10%|▉ | 3/31 [00:00<00:03, 7.72it/s]\nDDIM Sampler: 13%|█▎ | 4/31 [00:00<00:03, 7.97it/s]\nDDIM Sampler: 16%|█▌ | 5/31 [00:00<00:03, 8.12it/s]\nDDIM Sampler: 19%|█▉ | 6/31 [00:00<00:03, 8.20it/s]\nDDIM Sampler: 23%|██▎ | 7/31 [00:00<00:02, 8.26it/s]\nDDIM Sampler: 26%|██▌ | 8/31 [00:00<00:02, 8.30it/s]\nDDIM Sampler: 29%|██▉ | 9/31 [00:01<00:02, 8.32it/s]\nDDIM Sampler: 32%|███▏ | 10/31 [00:01<00:02, 8.34it/s]\nDDIM Sampler: 35%|███▌ | 11/31 [00:01<00:02, 8.36it/s]\nDDIM Sampler: 39%|███▊ | 12/31 [00:01<00:02, 8.36it/s]\nDDIM Sampler: 42%|████▏ | 13/31 [00:01<00:02, 8.36it/s]\nDDIM Sampler: 45%|████▌ | 14/31 [00:01<00:02, 8.37it/s]\nDDIM Sampler: 48%|████▊ | 15/31 [00:01<00:01, 8.37it/s]\nDDIM Sampler: 52%|█████▏ | 16/31 [00:01<00:01, 8.37it/s]\nDDIM Sampler: 55%|█████▍ | 17/31 [00:02<00:01, 8.37it/s]\nDDIM Sampler: 58%|█████▊ | 18/31 [00:02<00:01, 8.37it/s]\nDDIM Sampler: 61%|██████▏ | 19/31 [00:02<00:01, 8.38it/s]\nDDIM Sampler: 65%|██████▍ | 20/31 [00:02<00:01, 8.38it/s]\nDDIM Sampler: 68%|██████▊ | 21/31 [00:02<00:01, 8.38it/s]\nDDIM Sampler: 71%|███████ | 22/31 [00:02<00:01, 8.38it/s]\nDDIM Sampler: 74%|███████▍ | 23/31 [00:02<00:00, 8.27it/s]\nDDIM Sampler: 77%|███████▋ | 24/31 [00:02<00:00, 8.31it/s]\nDDIM Sampler: 81%|████████ | 25/31 [00:03<00:00, 8.33it/s]\nDDIM Sampler: 84%|████████▍ | 26/31 [00:03<00:00, 8.34it/s]\nDDIM Sampler: 87%|████████▋ | 27/31 [00:03<00:00, 8.36it/s]\nDDIM Sampler: 90%|█████████ | 28/31 [00:03<00:00, 8.37it/s]\nDDIM Sampler: 94%|█████████▎| 29/31 [00:03<00:00, 8.38it/s]\nDDIM Sampler: 97%|█████████▋| 30/31 [00:03<00:00, 8.38it/s]\nDDIM Sampler: 100%|██████████| 31/31 [00:03<00:00, 8.38it/s]\nDDIM Sampler: 100%|██████████| 31/31 [00:03<00:00, 8.27it/s]\nunet takes 0.2004241943359375s\n[INFO] mesh cleaning: (10510, 3) --> (39825, 3), (20996, 3) --> (79650, 3)\nuv takes 0.31412601470947266s",
"metrics": {
"predict_time": 11.400409,
"total_time": 404.407828
},
"output": "https://replicate.delivery/pbxt/4T3FFdvkzzbxHtzq7wXaFuDrq6rSHtkqzeV4nzex9TJYmZfkA/tmpdva7st55.obj",
"started_at": "2024-03-12T05:26:37.040070Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/qorgb5rb5rvgpxvbtmdviall3y",
"cancel": "https://api.replicate.com/v1/predictions/qorgb5rb5rvgpxvbtmdviall3y/cancel"
},
"version": "9a17c48c7e8a6c1b75788b454a234c13833277afafda546e014e59c3837f8932"
}Generated in
Auto Remove background
alhpa channl not enpty, skip remove background, using alpha channel as mask
DDIM Sampler: 0%| | 0/31 [00:00<?, ?it/s]
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DDIM Sampler: 74%|███████▍ | 23/31 [00:02<00:00, 8.27it/s]
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DDIM Sampler: 81%|████████ | 25/31 [00:03<00:00, 8.33it/s]
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DDIM Sampler: 100%|██████████| 31/31 [00:03<00:00, 8.27it/s]
unet takes 0.2004241943359375s
[INFO] mesh cleaning: (10510, 3) --> (39825, 3), (20996, 3) --> (79650, 3)
uv takes 0.31412601470947266s