Prediction

fermatresearch/high-resolution-controlnet-tile:4af11083a13ebb9bf97a88d7906ef21cf79d1f2e5fa9d87b70739ce6b8113d29

Model

fermatresearch/high-resolution-controlnet-tile:4af11083

m2hek1r0phrme0cn0sbt2nns1w

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

43.3s

Created

2 months ago by @zeke

Input

hdr: 0.2
image
steps: 20
prompt: a woman wearing a colorful suit
scheduler: DDIM
creativity: 0.6
guess_mode
resolution: 2560
resemblance: 0.4
guidance_scale: 5
negative_prompt: Teeth, tooth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant

{
  "hdr": 0.2,
  "image": "https://replicate.delivery/pbxt/K5vab12temDjc8jOnWFJ3p4RD7YWPQ3nuCyXpaRmN9yB8M1h/f84e7869-32ca-444b-a720-19e4325f4347.jpeg",
  "steps": 20,
  "prompt": "a woman wearing a colorful suit",
  "scheduler": "DDIM",
  "creativity": 0.6,
  "guess_mode": false,
  "resolution": 2560,
  "resemblance": 0.4,
  "guidance_scale": 5,
  "negative_prompt": "Teeth, tooth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
}

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 fermatresearch/high-resolution-controlnet-tile using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fermatresearch/high-resolution-controlnet-tile:4af11083a13ebb9bf97a88d7906ef21cf79d1f2e5fa9d87b70739ce6b8113d29",
  {
    input: {
      hdr: 0.2,
      image: "https://replicate.delivery/pbxt/K5vab12temDjc8jOnWFJ3p4RD7YWPQ3nuCyXpaRmN9yB8M1h/f84e7869-32ca-444b-a720-19e4325f4347.jpeg",
      steps: 20,
      prompt: "a woman wearing a colorful suit",
      scheduler: "DDIM",
      creativity: 0.6,
      guess_mode: false,
      resolution: 2560,
      resemblance: 0.4,
      guidance_scale: 5,
      negative_prompt: "Teeth, tooth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
    }
  }
);

// 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

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 fermatresearch/high-resolution-controlnet-tile using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fermatresearch/high-resolution-controlnet-tile:4af11083a13ebb9bf97a88d7906ef21cf79d1f2e5fa9d87b70739ce6b8113d29",
    input={
        "hdr": 0.2,
        "image": "https://replicate.delivery/pbxt/K5vab12temDjc8jOnWFJ3p4RD7YWPQ3nuCyXpaRmN9yB8M1h/f84e7869-32ca-444b-a720-19e4325f4347.jpeg",
        "steps": 20,
        "prompt": "a woman wearing a colorful suit",
        "scheduler": "DDIM",
        "creativity": 0.6,
        "guess_mode": False,
        "resolution": 2560,
        "resemblance": 0.4,
        "guidance_scale": 5,
        "negative_prompt": "Teeth, tooth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
    }
)
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 fermatresearch/high-resolution-controlnet-tile 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": "4af11083a13ebb9bf97a88d7906ef21cf79d1f2e5fa9d87b70739ce6b8113d29",
    "input": {
      "hdr": 0.2,
      "image": "https://replicate.delivery/pbxt/K5vab12temDjc8jOnWFJ3p4RD7YWPQ3nuCyXpaRmN9yB8M1h/f84e7869-32ca-444b-a720-19e4325f4347.jpeg",
      "steps": 20,
      "prompt": "a woman wearing a colorful suit",
      "scheduler": "DDIM",
      "creativity": 0.6,
      "guess_mode": false,
      "resolution": 2560,
      "resemblance": 0.4,
      "guidance_scale": 5,
      "negative_prompt": "Teeth, tooth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-14T21:22:43.238187Z",
  "created_at": "2025-02-14T21:21:59.988000Z",
  "data_removed": false,
  "error": null,
  "id": "m2hek1r0phrme0cn0sbt2nns1w",
  "input": {
    "hdr": 0.2,
    "image": "https://replicate.delivery/pbxt/K5vab12temDjc8jOnWFJ3p4RD7YWPQ3nuCyXpaRmN9yB8M1h/f84e7869-32ca-444b-a720-19e4325f4347.jpeg",
    "steps": 20,
    "prompt": "a woman wearing a colorful suit",
    "scheduler": "DDIM",
    "creativity": 0.6,
    "guess_mode": false,
    "resolution": 2560,
    "resemblance": 0.4,
    "guidance_scale": 5,
    "negative_prompt": "Teeth, tooth, longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant"
  },
  "logs": "Using seed: 49259\n  0%|          | 0/12 [00:00<?, ?it/s]\n  8%|▊         | 1/12 [00:02<00:22,  2.02s/it]\n 17%|█▋        | 2/12 [00:04<00:20,  2.01s/it]\n 25%|██▌       | 3/12 [00:06<00:18,  2.00s/it]\n 33%|███▎      | 4/12 [00:08<00:16,  2.00s/it]\n 42%|████▏     | 5/12 [00:10<00:14,  2.00s/it]\n 50%|█████     | 6/12 [00:12<00:12,  2.01s/it]\n 58%|█████▊    | 7/12 [00:14<00:10,  2.01s/it]\n 67%|██████▋   | 8/12 [00:16<00:08,  2.01s/it]\n 75%|███████▌  | 9/12 [00:18<00:06,  2.02s/it]\n 83%|████████▎ | 10/12 [00:20<00:04,  2.02s/it]\n 92%|█████████▏| 11/12 [00:22<00:02,  2.03s/it]\n100%|██████████| 12/12 [00:24<00:00,  2.03s/it]\n100%|██████████| 12/12 [00:24<00:00,  2.02s/it]",
  "metrics": {
    "predict_time": 31.956780011,
    "total_time": 43.250187
  },
  "output": [
    "https://replicate.delivery/xezq/DNN9zPzE02ZTNVtWoULs6Ilf0HgdnJrCMUjot5B61SpRMrHKA/out-0.png"
  ],
  "started_at": "2025-02-14T21:22:11.281407Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-tfmq7f7xyqszwmyiic6w264mceip7tcl563dxcvkrobvx3geoq7q",
    "get": "https://api.replicate.com/v1/predictions/m2hek1r0phrme0cn0sbt2nns1w",
    "cancel": "https://api.replicate.com/v1/predictions/m2hek1r0phrme0cn0sbt2nns1w/cancel"
  },
  "version": "4af11083a13ebb9bf97a88d7906ef21cf79d1f2e5fa9d87b70739ce6b8113d29"
}

Generated in

32.0 seconds

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