usamaehsan / controlnet-lineart-brightness-tile-inpainting

controlnet-lineart-brightness-tile-inpainting + low res fix with tile

Public
708 runs
L40S
GitHub

Prediction

usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e

Model

usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca7710

cdmlu23b5d6zuq34fx7v3xx6w4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.9s

Created

over 1 year ago

Input

eta: 0
prompt: underwater kingdom
max_width: 512
scheduler: DDIM
guess_mode
max_height: 512
num_outputs: 1
lineart_image
guidance_scale: 7
negative_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 20
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 1
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "underwater kingdom",
  "max_width": 512,
  "scheduler": "DDIM",
  "guess_mode": false,
  "max_height": 512,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
  "guidance_scale": 7,
  "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 20,
  "disable_safety_check": false,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e",
  {
    input: {
      eta: 0,
      prompt: "underwater kingdom",
      max_width: 512,
      scheduler: "DDIM",
      guess_mode: false,
      max_height: 512,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
      guidance_scale: 7,
      negative_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 20,
      disable_safety_check: false,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1,
      brightness_conditioning_scale: 1,
      inpainting_conditioning_scale: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e",
    input={
        "eta": 0,
        "prompt": "underwater kingdom",
        "max_width": 512,
        "scheduler": "DDIM",
        "guess_mode": False,
        "max_height": 512,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
        "guidance_scale": 7,
        "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 20,
        "disable_safety_check": False,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting 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": "usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e",
    "input": {
      "eta": 0,
      "prompt": "underwater kingdom",
      "max_width": 512,
      "scheduler": "DDIM",
      "guess_mode": false,
      "max_height": 512,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
      "guidance_scale": 7,
      "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 20,
      "disable_safety_check": false,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-19T01:28:10.428207Z",
  "created_at": "2023-11-19T01:28:07.551522Z",
  "data_removed": false,
  "error": null,
  "id": "cdmlu23b5d6zuq34fx7v3xx6w4",
  "input": {
    "eta": 0,
    "prompt": "underwater kingdom",
    "max_width": 512,
    "scheduler": "DDIM",
    "guess_mode": false,
    "max_height": 512,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
    "guidance_scale": 7,
    "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 20,
    "disable_safety_check": false,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "tile\ninpainting\nlineart\nbrightness\nUsing seed: 58469\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:03,  5.27it/s]\n 20%|██        | 4/20 [00:00<00:01, 13.07it/s]\n 30%|███       | 6/20 [00:00<00:00, 15.34it/s]\n 40%|████      | 8/20 [00:00<00:00, 16.78it/s]\n 50%|█████     | 10/20 [00:00<00:00, 17.71it/s]\n 60%|██████    | 12/20 [00:00<00:00, 18.33it/s]\n 70%|███████   | 14/20 [00:00<00:00, 18.75it/s]\n 80%|████████  | 16/20 [00:00<00:00, 19.04it/s]\n 90%|█████████ | 18/20 [00:01<00:00, 19.20it/s]\n100%|██████████| 20/20 [00:01<00:00, 19.32it/s]\n100%|██████████| 20/20 [00:01<00:00, 17.35it/s]",
  "metrics": {
    "predict_time": 2.842191,
    "total_time": 2.876685
  },
  "output": [
    "https://replicate.delivery/pbxt/AwpAbmIbs4IvDVGe6lpYDo8OBfFcWeNOhXWOGIDe0BalqFnHB/seed-58469.png"
  ],
  "started_at": "2023-11-19T01:28:07.586016Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/cdmlu23b5d6zuq34fx7v3xx6w4",
    "cancel": "https://api.replicate.com/v1/predictions/cdmlu23b5d6zuq34fx7v3xx6w4/cancel"
  },
  "version": "c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e"
}

Generated in

2.9 seconds

Tweak it Share Report

Prediction

usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e

Model

usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca7710

4imrzedbh3wp53ip2xmjvg2b4a

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.7s

Created

over 1 year ago

Input

eta: 0
prompt: -
max_width: 512
scheduler: DDIM
guess_mode
max_height: 512
tile_image
num_outputs: 1
guidance_scale: 7
negative_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 20
disable_safety_check
tile_conditioning_scale: 1
lineart_conditioning_scale: 1
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "-",
  "max_width": 512,
  "scheduler": "DDIM",
  "guess_mode": true,
  "max_height": 512,
  "tile_image": "https://replicate.delivery/pbxt/JtxFlAjPMqT3H841t12tmadlf4VPKjfE3GdeZLtuQKpMWMUc/WhatsApp%20Image%202023-11-19%20at%206.29.12%20AM.jpeg",
  "num_outputs": 1,
  "guidance_scale": 7,
  "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 20,
  "disable_safety_check": false,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e",
  {
    input: {
      eta: 0,
      prompt: "-",
      max_width: 512,
      scheduler: "DDIM",
      guess_mode: true,
      max_height: 512,
      tile_image: "https://replicate.delivery/pbxt/JtxFlAjPMqT3H841t12tmadlf4VPKjfE3GdeZLtuQKpMWMUc/WhatsApp%20Image%202023-11-19%20at%206.29.12%20AM.jpeg",
      num_outputs: 1,
      guidance_scale: 7,
      negative_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 20,
      disable_safety_check: false,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1,
      brightness_conditioning_scale: 1,
      inpainting_conditioning_scale: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e",
    input={
        "eta": 0,
        "prompt": "-",
        "max_width": 512,
        "scheduler": "DDIM",
        "guess_mode": True,
        "max_height": 512,
        "tile_image": "https://replicate.delivery/pbxt/JtxFlAjPMqT3H841t12tmadlf4VPKjfE3GdeZLtuQKpMWMUc/WhatsApp%20Image%202023-11-19%20at%206.29.12%20AM.jpeg",
        "num_outputs": 1,
        "guidance_scale": 7,
        "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 20,
        "disable_safety_check": False,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting 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": "usamaehsan/controlnet-lineart-brightness-tile-inpainting:c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e",
    "input": {
      "eta": 0,
      "prompt": "-",
      "max_width": 512,
      "scheduler": "DDIM",
      "guess_mode": true,
      "max_height": 512,
      "tile_image": "https://replicate.delivery/pbxt/JtxFlAjPMqT3H841t12tmadlf4VPKjfE3GdeZLtuQKpMWMUc/WhatsApp%20Image%202023-11-19%20at%206.29.12%20AM.jpeg",
      "num_outputs": 1,
      "guidance_scale": 7,
      "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 20,
      "disable_safety_check": false,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-19T01:30:48.897779Z",
  "created_at": "2023-11-19T01:30:46.178534Z",
  "data_removed": false,
  "error": null,
  "id": "4imrzedbh3wp53ip2xmjvg2b4a",
  "input": {
    "eta": 0,
    "prompt": "-",
    "max_width": 512,
    "scheduler": "DDIM",
    "guess_mode": true,
    "max_height": 512,
    "tile_image": "https://replicate.delivery/pbxt/JtxFlAjPMqT3H841t12tmadlf4VPKjfE3GdeZLtuQKpMWMUc/WhatsApp%20Image%202023-11-19%20at%206.29.12%20AM.jpeg",
    "num_outputs": 1,
    "guidance_scale": 7,
    "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 20,
    "disable_safety_check": false,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "tile\ninpainting\nlineart\nbrightness\nUsing seed: 59639\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:02,  7.27it/s]\n 15%|█▌        | 3/20 [00:00<00:01, 13.67it/s]\n 30%|███       | 6/20 [00:00<00:00, 17.01it/s]\n 45%|████▌     | 9/20 [00:00<00:00, 18.33it/s]\n 55%|█████▌    | 11/20 [00:00<00:00, 18.79it/s]\n 70%|███████   | 14/20 [00:00<00:00, 19.37it/s]\n 85%|████████▌ | 17/20 [00:00<00:00, 19.72it/s]\n100%|██████████| 20/20 [00:01<00:00, 19.95it/s]\n100%|██████████| 20/20 [00:01<00:00, 18.52it/s]",
  "metrics": {
    "predict_time": 2.682879,
    "total_time": 2.719245
  },
  "output": [
    "https://replicate.delivery/pbxt/fA3raeDtKlmZukFlW69oTmX0YQcjAywRPzT662w70iqIdx5RA/seed-59639.png"
  ],
  "started_at": "2023-11-19T01:30:46.214900Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4imrzedbh3wp53ip2xmjvg2b4a",
    "cancel": "https://api.replicate.com/v1/predictions/4imrzedbh3wp53ip2xmjvg2b4a/cancel"
  },
  "version": "c6ca77102e4aa453fc188f824c8230ffb5ea6b6abec33731b2f08b0a9be8a64e"
}

Generated in

2.7 seconds

Tweak it Share Report

Prediction

usamaehsan/controlnet-lineart-brightness-tile-inpainting:22f3c902303d2ebefec06a4a53d96af6a41cf46ef30de46c5ad9cd8f70b30a84

Model

usamaehsan/controlnet-lineart-brightness-tile-inpainting:22f3c902

2yehosdb2qrbky2rsp7co2wvjq

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

10.2s

Created

over 1 year ago

Input

eta: 0
prompt: underwater kingdom
max_width: 412
scheduler: DDIM
guess_mode
max_height: 412
low_res_fix
num_outputs: 1
lineart_image
guidance_scale: 7
negative_prompt: Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
low_res_fix_steps: 10
sorted_controlnets: tile, inpainting, lineart
num_inference_steps: 20
disable_safety_check
low_res_fix_resolution: 768
tile_conditioning_scale: 1
lineart_conditioning_scale: 1
brightness_conditioning_scale: 1
inpainting_conditioning_scale: 1

{
  "eta": 0,
  "prompt": "underwater kingdom",
  "max_width": 412,
  "scheduler": "DDIM",
  "guess_mode": false,
  "max_height": 412,
  "low_res_fix": true,
  "num_outputs": 1,
  "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
  "guidance_scale": 7,
  "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
  "low_res_fix_steps": 10,
  "sorted_controlnets": "tile, inpainting, lineart",
  "num_inference_steps": 20,
  "disable_safety_check": false,
  "low_res_fix_resolution": 768,
  "tile_conditioning_scale": 1,
  "lineart_conditioning_scale": 1,
  "brightness_conditioning_scale": 1,
  "inpainting_conditioning_scale": 1
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "usamaehsan/controlnet-lineart-brightness-tile-inpainting:22f3c902303d2ebefec06a4a53d96af6a41cf46ef30de46c5ad9cd8f70b30a84",
  {
    input: {
      eta: 0,
      prompt: "underwater kingdom",
      max_width: 412,
      scheduler: "DDIM",
      guess_mode: false,
      max_height: 412,
      low_res_fix: true,
      num_outputs: 1,
      lineart_image: "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
      guidance_scale: 7,
      negative_prompt: "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      low_res_fix_steps: 10,
      sorted_controlnets: "tile, inpainting, lineart",
      num_inference_steps: 20,
      disable_safety_check: false,
      low_res_fix_resolution: 768,
      tile_conditioning_scale: 1,
      lineart_conditioning_scale: 1,
      brightness_conditioning_scale: 1,
      inpainting_conditioning_scale: 1
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "usamaehsan/controlnet-lineart-brightness-tile-inpainting:22f3c902303d2ebefec06a4a53d96af6a41cf46ef30de46c5ad9cd8f70b30a84",
    input={
        "eta": 0,
        "prompt": "underwater kingdom",
        "max_width": 412,
        "scheduler": "DDIM",
        "guess_mode": False,
        "max_height": 412,
        "low_res_fix": True,
        "num_outputs": 1,
        "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
        "guidance_scale": 7,
        "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
        "low_res_fix_steps": 10,
        "sorted_controlnets": "tile, inpainting, lineart",
        "num_inference_steps": 20,
        "disable_safety_check": False,
        "low_res_fix_resolution": 768,
        "tile_conditioning_scale": 1,
        "lineart_conditioning_scale": 1,
        "brightness_conditioning_scale": 1,
        "inpainting_conditioning_scale": 1
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run usamaehsan/controlnet-lineart-brightness-tile-inpainting 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": "usamaehsan/controlnet-lineart-brightness-tile-inpainting:22f3c902303d2ebefec06a4a53d96af6a41cf46ef30de46c5ad9cd8f70b30a84",
    "input": {
      "eta": 0,
      "prompt": "underwater kingdom",
      "max_width": 412,
      "scheduler": "DDIM",
      "guess_mode": false,
      "max_height": 412,
      "low_res_fix": true,
      "num_outputs": 1,
      "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
      "guidance_scale": 7,
      "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
      "low_res_fix_steps": 10,
      "sorted_controlnets": "tile, inpainting, lineart",
      "num_inference_steps": 20,
      "disable_safety_check": false,
      "low_res_fix_resolution": 768,
      "tile_conditioning_scale": 1,
      "lineart_conditioning_scale": 1,
      "brightness_conditioning_scale": 1,
      "inpainting_conditioning_scale": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-19T17:41:52.009888Z",
  "created_at": "2023-11-19T17:41:41.861875Z",
  "data_removed": false,
  "error": null,
  "id": "2yehosdb2qrbky2rsp7co2wvjq",
  "input": {
    "eta": 0,
    "prompt": "underwater kingdom",
    "max_width": 412,
    "scheduler": "DDIM",
    "guess_mode": false,
    "max_height": 412,
    "low_res_fix": true,
    "num_outputs": 1,
    "lineart_image": "https://replicate.delivery/pbxt/JtxDFtHe0rVC4pvGUVGbnR8BOHLaFhGLA4YAScgno1FomeD9/ceb71f061de43744a245456771d6f95d.jpg",
    "guidance_scale": 7,
    "negative_prompt": "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
    "low_res_fix_steps": 10,
    "sorted_controlnets": "tile, inpainting, lineart",
    "num_inference_steps": 20,
    "disable_safety_check": false,
    "low_res_fix_resolution": 768,
    "tile_conditioning_scale": 1,
    "lineart_conditioning_scale": 1,
    "brightness_conditioning_scale": 1,
    "inpainting_conditioning_scale": 1
  },
  "logs": "lineart\nUsing seed: 29179\n  0%|          | 0/20 [00:00<?, ?it/s]\n  5%|▌         | 1/20 [00:00<00:04,  4.69it/s]\n 20%|██        | 4/20 [00:00<00:01, 13.02it/s]\n 35%|███▌      | 7/20 [00:00<00:00, 16.80it/s]\n 50%|█████     | 10/20 [00:00<00:00, 18.66it/s]\n 65%|██████▌   | 13/20 [00:00<00:00, 19.80it/s]\n 80%|████████  | 16/20 [00:00<00:00, 20.65it/s]\n 95%|█████████▌| 19/20 [00:01<00:00, 21.24it/s]\n100%|██████████| 20/20 [00:01<00:00, 18.73it/s]\nsize:  (352, 408)\nRunning low res fix...\ncondition image resize took 0.014973163604736328 seconds\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:03,  2.63it/s]\n 20%|██        | 2/10 [00:00<00:02,  3.98it/s]\n 30%|███       | 3/10 [00:00<00:01,  4.75it/s]\n 40%|████      | 4/10 [00:00<00:01,  5.22it/s]\n 50%|█████     | 5/10 [00:01<00:00,  5.54it/s]\n 60%|██████    | 6/10 [00:01<00:00,  5.74it/s]\n 70%|███████   | 7/10 [00:01<00:00,  5.88it/s]\n 80%|████████  | 8/10 [00:01<00:00,  5.97it/s]\n 90%|█████████ | 9/10 [00:01<00:00,  6.03it/s]\n100%|██████████| 10/10 [00:01<00:00,  6.07it/s]\n100%|██████████| 10/10 [00:01<00:00,  5.44it/s]\nlow-res-fix took 2.102013349533081seconds",
  "metrics": {
    "predict_time": 8.40441,
    "total_time": 10.148013
  },
  "output": [
    "https://replicate.delivery/pbxt/3MyrCc47OoL5Fp92B27f3KUqxgueXySQUkfjrGgND5L9WfnHB/seed-29179.png",
    "https://replicate.delivery/pbxt/9x52xSzNWV4kKZejt8W78yU5GF82nu78fgfeWiRKwF6fb9PPC/low-res-40977.png"
  ],
  "started_at": "2023-11-19T17:41:43.605478Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/2yehosdb2qrbky2rsp7co2wvjq",
    "cancel": "https://api.replicate.com/v1/predictions/2yehosdb2qrbky2rsp7co2wvjq/cancel"
  },
  "version": "22f3c902303d2ebefec06a4a53d96af6a41cf46ef30de46c5ad9cd8f70b30a84"
}

Generated in

8.4 seconds

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