Prediction

Model

timothybrooks/instruct-pix2pix:30c1d0b9

j5myyosmjbcpjcqesowun6idie

Status

Succeeded

Source

Web

Hardware

–

Total duration

8.3s

Created

almost 3 years ago by chenxwh

Webhook

–

Input

image: https://replicate.delivery/pbxt/IBnrzJD8Vvz3rD7yF5W8ODnpeA5wcoNpP1RRiDutqW1nG8eF/example.jpeg
prompt: turn him into cyborg
num_outputs: 1
num_inference_steps: 100
guidance_scale: 7.5
image_guidance_scale: 1.5
scheduler: K_EULER_ANCESTRAL

{
  "guidance_scale": 7.5,
  "image": "https://replicate.delivery/pbxt/IBnrzJD8Vvz3rD7yF5W8ODnpeA5wcoNpP1RRiDutqW1nG8eF/example.jpeg",
  "image_guidance_scale": 1.5,
  "num_inference_steps": 100,
  "num_outputs": 1,
  "prompt": "turn him into cyborg",
  "scheduler": "K_EULER_ANCESTRAL"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_9UH**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run timothybrooks/instruct-pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "timothybrooks/instruct-pix2pix:30c1d0b916a6f8efce20493f5d61ee27491ab2a60437c13c588468b9810ec23f",
  {
    input: {
      guidance_scale: 7.5,
      image: "https://replicate.delivery/pbxt/IBnrzJD8Vvz3rD7yF5W8ODnpeA5wcoNpP1RRiDutqW1nG8eF/example.jpeg",
      image_guidance_scale: 1.5,
      num_inference_steps: 100,
      num_outputs: 1,
      prompt: "turn him into cyborg",
      scheduler: "K_EULER_ANCESTRAL"
    }
  }
);

// 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=r8_9UH**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run timothybrooks/instruct-pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "timothybrooks/instruct-pix2pix:30c1d0b916a6f8efce20493f5d61ee27491ab2a60437c13c588468b9810ec23f",
    input={
        "guidance_scale": 7.5,
        "image": "https://replicate.delivery/pbxt/IBnrzJD8Vvz3rD7yF5W8ODnpeA5wcoNpP1RRiDutqW1nG8eF/example.jpeg",
        "image_guidance_scale": 1.5,
        "num_inference_steps": 100,
        "num_outputs": 1,
        "prompt": "turn him into cyborg",
        "scheduler": "K_EULER_ANCESTRAL"
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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=r8_9UH**********************************

This is your API token. Keep it to yourself.

Run timothybrooks/instruct-pix2pix 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": "timothybrooks/instruct-pix2pix:30c1d0b916a6f8efce20493f5d61ee27491ab2a60437c13c588468b9810ec23f",
    "input": {
      "guidance_scale": 7.5,
      "image": "https://replicate.delivery/pbxt/IBnrzJD8Vvz3rD7yF5W8ODnpeA5wcoNpP1RRiDutqW1nG8eF/example.jpeg",
      "image_guidance_scale": 1.5,
      "num_inference_steps": 100,
      "num_outputs": 1,
      "prompt": "turn him into cyborg",
      "scheduler": "K_EULER_ANCESTRAL"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "j5myyosmjbcpjcqesowun6idie",
  "model": "timothybrooks/instruct-pix2pix",
  "version": "30c1d0b916a6f8efce20493f5d61ee27491ab2a60437c13c588468b9810ec23f",
  "input": {
    "guidance_scale": 7.5,
    "image": "https://replicate.delivery/pbxt/IBnrzJD8Vvz3rD7yF5W8ODnpeA5wcoNpP1RRiDutqW1nG8eF/example.jpeg",
    "image_guidance_scale": 1.5,
    "num_inference_steps": 100,
    "num_outputs": 1,
    "prompt": "turn him into cyborg",
    "scheduler": "K_EULER_ANCESTRAL"
  },
  "logs": "Using seed: 49287\n  0%|          | 0/100 [00:00<?, ?it/s]\n  2%|▏         | 2/100 [00:00<00:08, 11.55it/s]\n  4%|▍         | 4/100 [00:00<00:07, 13.57it/s]\n  6%|▌         | 6/100 [00:00<00:06, 14.33it/s]\n  8%|▊         | 8/100 [00:00<00:06, 14.36it/s]\n 10%|█         | 10/100 [00:00<00:06, 14.37it/s]\n 12%|█▏        | 12/100 [00:00<00:06, 14.28it/s]\n 14%|█▍        | 14/100 [00:01<00:06, 13.74it/s]\n 16%|█▌        | 16/100 [00:01<00:06, 13.40it/s]\n 18%|█▊        | 18/100 [00:01<00:06, 13.54it/s]\n 20%|██        | 20/100 [00:01<00:05, 13.78it/s]\n 22%|██▏       | 22/100 [00:01<00:05, 14.24it/s]\n 24%|██▍       | 24/100 [00:01<00:05, 14.35it/s]\n 26%|██▌       | 26/100 [00:01<00:05, 14.23it/s]\n 28%|██▊       | 28/100 [00:02<00:05, 14.06it/s]\n 30%|███       | 30/100 [00:02<00:04, 14.07it/s]\n 32%|███▏      | 32/100 [00:02<00:04, 14.57it/s]\n 34%|███▍      | 34/100 [00:02<00:04, 14.28it/s]\n 36%|███▌      | 36/100 [00:02<00:04, 14.23it/s]\n 38%|███▊      | 38/100 [00:02<00:04, 14.30it/s]\n 40%|████      | 40/100 [00:02<00:04, 14.16it/s]\n 42%|████▏     | 42/100 [00:02<00:04, 14.41it/s]\n 44%|████▍     | 44/100 [00:03<00:03, 14.42it/s]\n 46%|████▌     | 46/100 [00:03<00:03, 14.46it/s]\n 48%|████▊     | 48/100 [00:03<00:03, 14.72it/s]\n 50%|█████     | 50/100 [00:03<00:03, 14.77it/s]\n 52%|█████▏    | 52/100 [00:03<00:03, 14.87it/s]\n 54%|█████▍    | 54/100 [00:03<00:03, 14.31it/s]\n 56%|█████▌    | 56/100 [00:03<00:02, 14.74it/s]\n 58%|█████▊    | 58/100 [00:04<00:02, 14.89it/s]\n 60%|██████    | 60/100 [00:04<00:02, 15.05it/s]\n 62%|██████▏   | 62/100 [00:04<00:02, 15.12it/s]\n 64%|██████▍   | 64/100 [00:04<00:02, 15.25it/s]\n 66%|██████▌   | 66/100 [00:04<00:02, 15.39it/s]\n 68%|██████▊   | 68/100 [00:04<00:02, 15.39it/s]\n 70%|███████   | 70/100 [00:04<00:01, 15.48it/s]\n 72%|███████▏  | 72/100 [00:04<00:01, 15.60it/s]\n 74%|███████▍  | 74/100 [00:05<00:01, 15.86it/s]\n 76%|███████▌  | 76/100 [00:05<00:01, 15.79it/s]\n 78%|███████▊  | 78/100 [00:05<00:01, 15.65it/s]\n 80%|████████  | 80/100 [00:05<00:01, 15.12it/s]\n 82%|████████▏ | 82/100 [00:05<00:01, 15.35it/s]\n 84%|████████▍ | 84/100 [00:05<00:01, 15.28it/s]\n 86%|████████▌ | 86/100 [00:05<00:00, 15.38it/s]\n 88%|████████▊ | 88/100 [00:05<00:00, 15.53it/s]\n 90%|█████████ | 90/100 [00:06<00:00, 15.26it/s]\n 92%|█████████▏| 92/100 [00:06<00:00, 14.85it/s]\n 94%|█████████▍| 94/100 [00:06<00:00, 14.59it/s]\n 96%|█████████▌| 96/100 [00:06<00:00, 14.70it/s]\n 98%|█████████▊| 98/100 [00:06<00:00, 14.25it/s]\n100%|██████████| 100/100 [00:06<00:00, 14.10it/s]\n100%|██████████| 100/100 [00:06<00:00, 14.61it/s]",
  "output": [
    "https://replicate.delivery/pbxt/kfL8fyBkHllh4kfEJbulrcnzWywUzZ2Fl1GkpXlb4n8xiaugA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-01-24T00:12:01.075581Z",
  "started_at": "2023-01-24T00:12:01.128892Z",
  "completed_at": "2023-01-24T00:12:09.33802Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/j5myyosmjbcpjcqesowun6idie/cancel",
    "get": "https://api.replicate.com/v1/predictions/j5myyosmjbcpjcqesowun6idie"
  },
  "metrics": {
    "predict_time": 8.209128,
    "total_time": 8.262439
  }
}

Generated in

8.2 seconds

Tweak it Report

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