remodela-ai/virtual_staging_iii – Run with an API on Replicate

remodela-ai / virtual_staging_iii

Cold

Public
448 runs
L40S
Paper

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

image

file

Load your room

type_room

string

Which room is it?

Default: "livingRoom"

prompt

string

Select the style

Default: "modern"

negative_prompt

string

Shift + Return to add a new line

low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low qualitylow quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality

Input Negative Prompt

Default: "low quality, bad quality, sketches"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

condition_scale

number

(minimum: 0, maximum: 1)

controlnet conditioning scale for generalization

Default: 0.5

seed

integer

Random seed. Set to 0 to randomize the seed

Default: 0

Run this model in Node.js with one line of code:

npx create-replicate --model=remodela-ai/virtual_staging_iii

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set 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 remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61",
  {
    input: {
      seed: 0,
      image: "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg",
      prompt: "scandinavian",
      type_room: "livingRoom",
      condition_scale: 0.5,
      negative_prompt: "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low 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 replicate

Set 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 replicate

Run remodela-ai/virtual_staging_iii using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61",
    input={
        "seed": 0,
        "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg",
        "prompt": "scandinavian",
        "type_room": "livingRoom",
        "condition_scale": 0.5,
        "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low 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 remodela-ai/virtual_staging_iii 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": "remodela-ai/virtual_staging_iii:07a6443a8b93083d849e90f22da76fa043c47cdf2377a7170775384a9ba72f61",
    "input": {
      "seed": 0,
      "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg",
      "prompt": "scandinavian",
      "type_room": "livingRoom",
      "condition_scale": 0.5,
      "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2024-10-25T05:08:06.006462Z",
  "created_at": "2024-10-25T05:05:56.173000Z",
  "data_removed": false,
  "error": null,
  "id": "6gq6ss13snrgj0cjr88tpxz3mc",
  "input": {
    "seed": 0,
    "image": "https://replicate.delivery/pbxt/Lr31f1u9fSQOXojI42l74xdxQmPccTQkEhHWQOHeuqCyIEGI/demo1.jpg",
    "prompt": "scandinavian",
    "condition_scale": 0.5,
    "negative_prompt": "low quality, bad quality, sketches, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "num_inference_steps": 50
  },
  "logs": "Using seed: 32760\nOriginal width:3000, height:2155\nAspect Ratio: 1.39\nnew_width:1152, new_height:832\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:02<01:50,  2.25s/it]\n  4%|▍         | 2/50 [00:02<00:52,  1.09s/it]\n  6%|▌         | 3/50 [00:02<00:33,  1.39it/s]\n  8%|▊         | 4/50 [00:03<00:25,  1.84it/s]\n 10%|█         | 5/50 [00:03<00:20,  2.23it/s]\n 12%|█▏        | 6/50 [00:03<00:17,  2.55it/s]\n 14%|█▍        | 7/50 [00:03<00:15,  2.82it/s]\n 16%|█▌        | 8/50 [00:04<00:13,  3.03it/s]\n 18%|█▊        | 9/50 [00:04<00:12,  3.18it/s]\n 20%|██        | 10/50 [00:04<00:12,  3.30it/s]\n 22%|██▏       | 11/50 [00:05<00:11,  3.39it/s]\n 24%|██▍       | 12/50 [00:05<00:11,  3.44it/s]\n 26%|██▌       | 13/50 [00:05<00:10,  3.49it/s]\n 28%|██▊       | 14/50 [00:05<00:10,  3.52it/s]\n 30%|███       | 15/50 [00:06<00:09,  3.54it/s]\n 32%|███▏      | 16/50 [00:06<00:09,  3.55it/s]\n 34%|███▍      | 17/50 [00:06<00:09,  3.56it/s]\n 36%|███▌      | 18/50 [00:06<00:08,  3.57it/s]\n 38%|███▊      | 19/50 [00:07<00:08,  3.58it/s]\n 40%|████      | 20/50 [00:07<00:08,  3.58it/s]\n 42%|████▏     | 21/50 [00:07<00:08,  3.58it/s]\n 44%|████▍     | 22/50 [00:08<00:07,  3.58it/s]\n 46%|████▌     | 23/50 [00:08<00:07,  3.58it/s]\n 48%|████▊     | 24/50 [00:08<00:07,  3.57it/s]\n 50%|█████     | 25/50 [00:08<00:06,  3.58it/s]\n 52%|█████▏    | 26/50 [00:09<00:06,  3.57it/s]\n 54%|█████▍    | 27/50 [00:09<00:06,  3.57it/s]\n 56%|█████▌    | 28/50 [00:09<00:06,  3.57it/s]\n 58%|█████▊    | 29/50 [00:10<00:05,  3.57it/s]\n 60%|██████    | 30/50 [00:10<00:05,  3.57it/s]\n 62%|██████▏   | 31/50 [00:10<00:05,  3.57it/s]\n 64%|██████▍   | 32/50 [00:10<00:05,  3.57it/s]\n 66%|██████▌   | 33/50 [00:11<00:04,  3.57it/s]\n 68%|██████▊   | 34/50 [00:11<00:04,  3.57it/s]\n 70%|███████   | 35/50 [00:11<00:04,  3.57it/s]\n 72%|███████▏  | 36/50 [00:12<00:03,  3.57it/s]\n 74%|███████▍  | 37/50 [00:12<00:03,  3.57it/s]\n 76%|███████▌  | 38/50 [00:12<00:03,  3.57it/s]\n 78%|███████▊  | 39/50 [00:12<00:03,  3.57it/s]\n 80%|████████  | 40/50 [00:13<00:02,  3.57it/s]\n 82%|████████▏ | 41/50 [00:13<00:02,  3.57it/s]\n 84%|████████▍ | 42/50 [00:13<00:02,  3.57it/s]\n 86%|████████▌ | 43/50 [00:13<00:01,  3.57it/s]\n 88%|████████▊ | 44/50 [00:14<00:01,  3.57it/s]\n 90%|█████████ | 45/50 [00:14<00:01,  3.57it/s]\n 92%|█████████▏| 46/50 [00:14<00:01,  3.57it/s]\n 94%|█████████▍| 47/50 [00:15<00:00,  3.57it/s]\n 96%|█████████▌| 48/50 [00:15<00:00,  3.57it/s]\n 98%|█████████▊| 49/50 [00:15<00:00,  3.57it/s]\n100%|██████████| 50/50 [00:15<00:00,  3.57it/s]\n100%|██████████| 50/50 [00:15<00:00,  3.14it/s]",
  "metrics": {
    "predict_time": 19.543447828,
    "total_time": 129.833462
  },
  "output": "https://replicate.delivery/pbxt/RxleKE1VjDRrAaj6sfWnsItw8USbKImZAY3hzuf43FgqNbUnA/output.png",
  "started_at": "2024-10-25T05:07:46.463014Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/6gq6ss13snrgj0cjr88tpxz3mc",
    "cancel": "https://api.replicate.com/v1/predictions/6gq6ss13snrgj0cjr88tpxz3mc/cancel"
  },
  "version": "fcd867b4a2ee938bea39e4b00cf5df63c9a54c1085be4e5eae61dda8eaa72ae5"
}

Generated in

19.6 seconds

Tweak it Share Report

Using seed: 32760
Original width:3000, height:2155
Aspect Ratio: 1.39
new_width:1152, new_height:832
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This output was created using a different version of the model, remodela-ai/virtual_staging_iii:fcd867b4.

Examples

View more examples

Run time and cost

This model costs approximately $0.050 to run on Replicate, or 20 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 52 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.