orbin-ahmed/interior – Run with an API on Replicate

Input

image

*file

Input image

prompt

*string

Shift + Return to add a new line

Text prompt for design

negative_prompt

string

Shift + Return to add a new line

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, realisticlowres, 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

Negative text prompt to guide the design

Default: "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"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 15

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength for inpainting. 1.0 corresponds to full destruction of information in image

Default: 0.8

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=orbin-ahmed/interior

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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "orbin-ahmed/interior:849928498334534cfbfaaf004cc6d3d56bb4f546075c4a682eafed3fd1dd49ba",
  {
    input: {
      image: "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg",
      prompt: "A living room",
      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 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 orbin-ahmed/interior using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "orbin-ahmed/interior:849928498334534cfbfaaf004cc6d3d56bb4f546075c4a682eafed3fd1dd49ba",
    input={
        "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg",
        "prompt": "A living room",
        "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 orbin-ahmed/interior 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": "orbin-ahmed/interior:849928498334534cfbfaaf004cc6d3d56bb4f546075c4a682eafed3fd1dd49ba",
    "input": {
      "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg",
      "prompt": "A living room",
      "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/predictions

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

Output

{
  "completed_at": "2024-12-12T23:28:27.026900Z",
  "created_at": "2024-12-12T23:28:19.079000Z",
  "data_removed": false,
  "error": null,
  "id": "hrchjtx6gxrj40ckqmsv824mec",
  "input": {
    "image": "https://replicate.delivery/pbxt/M8ME52E3pCv3yIq5RjRM22oLBq7xznKXo1XR0fE7QptyAoE1/living.jpg",
    "prompt": "A living room",
    "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<00:05,  7.22it/s]\n  8%|▊         | 3/40 [00:00<00:03,  9.70it/s]\n 12%|█▎        | 5/40 [00:00<00:03, 10.35it/s]\n 18%|█▊        | 7/40 [00:00<00:03, 10.64it/s]\n 22%|██▎       | 9/40 [00:00<00:02, 10.78it/s]\n 28%|██▊       | 11/40 [00:01<00:02, 10.87it/s]\n 32%|███▎      | 13/40 [00:01<00:02, 10.93it/s]\n 38%|███▊      | 15/40 [00:01<00:02, 10.96it/s]\n 42%|████▎     | 17/40 [00:01<00:02, 10.99it/s]\n 48%|████▊     | 19/40 [00:01<00:01, 11.01it/s]\n 52%|█████▎    | 21/40 [00:01<00:01, 11.02it/s]\n 57%|█████▊    | 23/40 [00:02<00:01, 11.03it/s]\n 62%|██████▎   | 25/40 [00:02<00:01, 11.03it/s]\n 68%|██████▊   | 27/40 [00:02<00:01, 11.03it/s]\n 72%|███████▎  | 29/40 [00:02<00:00, 11.03it/s]\n 78%|███████▊  | 31/40 [00:02<00:00, 11.04it/s]\n 82%|████████▎ | 33/40 [00:03<00:00, 11.04it/s]\n 88%|████████▊ | 35/40 [00:03<00:00, 11.04it/s]\n 92%|█████████▎| 37/40 [00:03<00:00, 11.04it/s]\n 98%|█████████▊| 39/40 [00:03<00:00, 11.05it/s]\n100%|██████████| 40/40 [00:03<00:00, 10.90it/s]",
  "metrics": {
    "predict_time": 7.940198847,
    "total_time": 7.9479
  },
  "output": "https://replicate.delivery/yhqm/c2VLrNIEKfwQKa2VkHIw9yZGik6Nm3Cb54bdECwRyQgNHJ9JA/out_6_1024.png",
  "started_at": "2024-12-12T23:28:19.086701Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-xgmah6vvgovbx73egjwadd3rtw6auod2rp3x2zsioqivtit6zmva",
    "get": "https://api.replicate.com/v1/predictions/hrchjtx6gxrj40ckqmsv824mec",
    "cancel": "https://api.replicate.com/v1/predictions/hrchjtx6gxrj40ckqmsv824mec/cancel"
  },
  "version": "4f43c24297913070ba22c1ed2d7696840b8f9846d530d850c91ad4fee1948d7f"
}

Generated in

8.0 seconds