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adirik /interior-design:76604bad
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=adirik/interior-design
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 adirik/interior-design using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"adirik/interior-design:76604baddc85b1b4616e1c6475eca080da339c8875bd4996705440484a6eac38",
{
input: {
image: "https://replicate.delivery/pbxt/KhTZ4ZlP4XKNlifDpjKsBICq9UPosqkRzYfjKrALGGHOnE5s/living_room_1.jpg",
prompt: "A stylish living room embracing mid-century modern aesthetics featuring a vintage teak coffee table at its center complemented by a classic sunburst clock on the wall and a cozy shag rug underfoot creating a warm and inviting atmosphere",
guidance_scale: 15,
negative_prompt: "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic",
prompt_strength: 0.8,
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 adirik/interior-design using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"adirik/interior-design:76604baddc85b1b4616e1c6475eca080da339c8875bd4996705440484a6eac38",
input={
"image": "https://replicate.delivery/pbxt/KhTZ4ZlP4XKNlifDpjKsBICq9UPosqkRzYfjKrALGGHOnE5s/living_room_1.jpg",
"prompt": "A stylish living room embracing mid-century modern aesthetics featuring a vintage teak coffee table at its center complemented by a classic sunburst clock on the wall and a cozy shag rug underfoot creating a warm and inviting atmosphere",
"guidance_scale": 15,
"negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic",
"prompt_strength": 0.8,
"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 adirik/interior-design 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": "adirik/interior-design:76604baddc85b1b4616e1c6475eca080da339c8875bd4996705440484a6eac38",
"input": {
"image": "https://replicate.delivery/pbxt/KhTZ4ZlP4XKNlifDpjKsBICq9UPosqkRzYfjKrALGGHOnE5s/living_room_1.jpg",
"prompt": "A stylish living room embracing mid-century modern aesthetics featuring a vintage teak coffee table at its center complemented by a classic sunburst clock on the wall and a cozy shag rug underfoot creating a warm and inviting atmosphere",
"guidance_scale": 15,
"negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic",
"prompt_strength": 0.8,
"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": "2024-04-06T13:50:13.546111Z",
"created_at": "2024-04-06T13:50:00.857000Z",
"data_removed": false,
"error": null,
"id": "ja56frjtk5rgj0cepep8wga7br",
"input": {
"image": "https://replicate.delivery/pbxt/KhTZ4ZlP4XKNlifDpjKsBICq9UPosqkRzYfjKrALGGHOnE5s/living_room_1.jpg",
"prompt": "A stylish living room embracing mid-century modern aesthetics featuring a vintage teak coffee table at its center complemented by a classic sunburst clock on the wall and a cozy shag rug underfoot creating a warm and inviting atmosphere",
"guidance_scale": 15,
"negative_prompt": "lowres, watermark, banner, logo, watermark, contactinfo, text, deformed, blurry, blur, out of focus, out of frame, surreal, extra, ugly, upholstered walls, fabric walls, plush walls, mirror, mirrored, functional, realistic",
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:09, 4.21it/s]\n 5%|▌ | 2/40 [00:00<00:07, 5.30it/s]\n 8%|▊ | 3/40 [00:00<00:06, 5.76it/s]\n 10%|█ | 4/40 [00:00<00:05, 6.02it/s]\n 12%|█▎ | 5/40 [00:00<00:05, 6.16it/s]\n 15%|█▌ | 6/40 [00:01<00:05, 6.24it/s]\n 18%|█▊ | 7/40 [00:01<00:05, 6.30it/s]\n 20%|██ | 8/40 [00:01<00:05, 6.34it/s]\n 22%|██▎ | 9/40 [00:01<00:04, 6.37it/s]\n 25%|██▌ | 10/40 [00:01<00:04, 6.39it/s]\n 28%|██▊ | 11/40 [00:01<00:04, 6.41it/s]\n 30%|███ | 12/40 [00:01<00:04, 6.42it/s]\n 32%|███▎ | 13/40 [00:02<00:04, 6.41it/s]\n 35%|███▌ | 14/40 [00:02<00:04, 6.41it/s]\n 38%|███▊ | 15/40 [00:02<00:03, 6.40it/s]\n 40%|████ | 16/40 [00:02<00:03, 6.42it/s]\n 42%|████▎ | 17/40 [00:02<00:03, 6.42it/s]\n 45%|████▌ | 18/40 [00:02<00:03, 6.42it/s]\n 48%|████▊ | 19/40 [00:03<00:03, 6.41it/s]\n 50%|█████ | 20/40 [00:03<00:03, 6.40it/s]\n 52%|█████▎ | 21/40 [00:03<00:02, 6.41it/s]\n 55%|█████▌ | 22/40 [00:03<00:02, 6.41it/s]\n 57%|█████▊ | 23/40 [00:03<00:02, 6.41it/s]\n 60%|██████ | 24/40 [00:03<00:02, 6.41it/s]\n 62%|██████▎ | 25/40 [00:03<00:02, 6.41it/s]\n 65%|██████▌ | 26/40 [00:04<00:02, 6.40it/s]\n 68%|██████▊ | 27/40 [00:04<00:02, 6.40it/s]\n 70%|███████ | 28/40 [00:04<00:01, 6.40it/s]\n 72%|███████▎ | 29/40 [00:04<00:01, 6.40it/s]\n 75%|███████▌ | 30/40 [00:04<00:01, 6.40it/s]\n 78%|███████▊ | 31/40 [00:04<00:01, 6.40it/s]\n 80%|████████ | 32/40 [00:05<00:01, 6.40it/s]\n 82%|████████▎ | 33/40 [00:05<00:01, 6.40it/s]\n 85%|████████▌ | 34/40 [00:05<00:00, 6.40it/s]\n 88%|████████▊ | 35/40 [00:05<00:00, 6.39it/s]\n 90%|█████████ | 36/40 [00:05<00:00, 6.39it/s]\n 92%|█████████▎| 37/40 [00:05<00:00, 6.39it/s]\n 95%|█████████▌| 38/40 [00:06<00:00, 6.40it/s]\n 98%|█████████▊| 39/40 [00:06<00:00, 6.40it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.41it/s]\n100%|██████████| 40/40 [00:06<00:00, 6.33it/s]",
"metrics": {
"predict_time": 12.649448,
"total_time": 12.689111
},
"output": "https://replicate.delivery/pbxt/zK2dXEDtAAIkKJfjExl6JAONYi6E0IdtvmHa6eX1LyEUUwnSA/out.png",
"started_at": "2024-04-06T13:50:00.896663Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/ja56frjtk5rgj0cepep8wga7br",
"cancel": "https://api.replicate.com/v1/predictions/ja56frjtk5rgj0cepep8wga7br/cancel"
},
"version": "76604baddc85b1b4616e1c6475eca080da339c8875bd4996705440484a6eac38"
}Generated in
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