jschoormans/interior-v2:db5c4302 – Run with an API on Replicate

Version

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jschoormans /interior-v2:db5c4302

Playground API

Input

image

*file

Input image

prompt

string

Shift + Return to add a new line

Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8kLiving room, scandinavian interior, photograph, clean, beautiful, high quality, 8k

Prompt for image generation

Default: "Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k"

strength

number

(minimum: 0, maximum: 1)

Strength of the inpainting

Default: 0.999999

max_resolution

integer

(minimum: 512, maximum: 2048)

Maximum resolution of the output image

Default: 1536

keep_furniture_structure

boolean

Keep the furniture structure

Default: false

controlnet_conditioning_scale

number

(minimum: 0, maximum: 1)

Controlnet conditioning scale

Default: 0.7

control_guidance_start

number

(minimum: 0, maximum: 1)

Control guidance start

Default: 0

control_guidance_end

number

(minimum: 0, maximum: 1)

Control guidance end

Default: 0.8

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of inference steps

Default: 30

guidance_scale

number

(minimum: 1, maximum: 20)

Guidance scale

Default: 7

control_image

file

Control image

inverted_mask_window

file

Inverted mask window

inverted_mask_ceiling

file

Inverted mask ceiling

mask_furniture

file

Mask furniture

negative_prompt

string

Shift + Return to add a new line

(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth

Negative prompt

Default: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"

mask_prompt_window

string

Shift + Return to add a new line

Mask prompt window

Default: "window, doorway"

mask_prompt_furniture

string

Shift + Return to add a new line

furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TVfurniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV

Mask prompt furniture

Default: "furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV"

mask_prompt_ceiling

string

Shift + Return to add a new line

Mask prompt ceiling

Default: "ceiling"

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

npx create-replicate --model=jschoormans/interior-v2

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 jschoormans/interior-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jschoormans/interior-v2:db5c430268e1bb117f2f0547decafeed3252868cf051ab28f5e1e317b645d743",
  {
    input: {
      prompt: "Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k",
      strength: 0.999999,
      guidance_scale: 7,
      max_resolution: 1536,
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      mask_prompt_window: "window, doorway",
      mask_prompt_ceiling: "ceiling",
      num_inference_steps: 30,
      control_guidance_end: 0.8,
      mask_prompt_furniture: "furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV",
      control_guidance_start: 0,
      keep_furniture_structure: false,
      controlnet_conditioning_scale: 0.7
    }
  }
);
console.log(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 jschoormans/interior-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jschoormans/interior-v2:db5c430268e1bb117f2f0547decafeed3252868cf051ab28f5e1e317b645d743",
    input={
        "prompt": "Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k",
        "strength": 0.999999,
        "guidance_scale": 7,
        "max_resolution": 1536,
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
        "mask_prompt_window": "window, doorway",
        "mask_prompt_ceiling": "ceiling",
        "num_inference_steps": 30,
        "control_guidance_end": 0.8,
        "mask_prompt_furniture": "furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV",
        "control_guidance_start": 0,
        "keep_furniture_structure": False,
        "controlnet_conditioning_scale": 0.7
    }
)
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 jschoormans/interior-v2 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": "db5c430268e1bb117f2f0547decafeed3252868cf051ab28f5e1e317b645d743",
    "input": {
      "prompt": "Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k",
      "strength": 0.999999,
      "guidance_scale": 7,
      "max_resolution": 1536,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      "mask_prompt_window": "window, doorway",
      "mask_prompt_ceiling": "ceiling",
      "num_inference_steps": 30,
      "control_guidance_end": 0.8,
      "mask_prompt_furniture": "furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV",
      "control_guidance_start": 0,
      "keep_furniture_structure": false,
      "controlnet_conditioning_scale": 0.7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run jschoormans/interior-v2 using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/jschoormans/interior-v2@sha256:db5c430268e1bb117f2f0547decafeed3252868cf051ab28f5e1e317b645d743 \
  -i 'prompt="Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k"' \
  -i 'strength=0.999999' \
  -i 'guidance_scale=7' \
  -i 'max_resolution=1536' \
  -i 'negative_prompt="(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"' \
  -i 'mask_prompt_window="window, doorway"' \
  -i 'mask_prompt_ceiling="ceiling"' \
  -i 'num_inference_steps=30' \
  -i 'control_guidance_end=0.8' \
  -i 'mask_prompt_furniture="furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV"' \
  -i 'control_guidance_start=0' \
  -i 'keep_furniture_structure=false' \
  -i 'controlnet_conditioning_scale=0.7'

To learn more, take a look at the Cog documentation.

Pull and run jschoormans/interior-v2 using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/jschoormans/interior-v2@sha256:db5c430268e1bb117f2f0547decafeed3252868cf051ab28f5e1e317b645d743
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "Living room, scandinavian interior, photograph, clean, beautiful, high quality, 8k",
      "strength": 0.999999,
      "guidance_scale": 7,
      "max_resolution": 1536,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      "mask_prompt_window": "window, doorway",
      "mask_prompt_ceiling": "ceiling",
      "num_inference_steps": 30,
      "control_guidance_end": 0.8,
      "mask_prompt_furniture": "furniture, couch, table, chair, desk, bed, sofa, cupboard, shelf, cabinet, bookcase, dresser, nightstand, armchair, decoration, plant, flower, pillow, lamp, TV",
      "control_guidance_start": 0,
      "keep_furniture_structure": false,
      "controlnet_conditioning_scale": 0.7
    }
  }' \
  http://localhost:5000/predictions

Output

No output yet! Press "Submit" to start a prediction.