Prediction

Model

lambdal/text-to-pokemon:3554d9e6

ckco55pdazcnzcthddpsrcv7om

Status

Succeeded

Source

Web

Hardware

–

Total duration

15.9s

Created

almost 4 years ago by aanoosheh

Webhook

–

Input

prompt: Dwayne The Rock Johnson
num_outputs: 1
num_inference_steps: 50
guidance_scale: 7.5
seed: 420

{
  "guidance_scale": 7.5,
  "num_inference_steps": "50",
  "num_outputs": 1,
  "prompt": "Dwayne The Rock Johnson",
  "seed": 420
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_EKO**********************************

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 lambdal/text-to-pokemon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lambdal/text-to-pokemon:3554d9e699e09693d3fa334a79c58be9a405dd021d3e11281256d53185868912",
  {
    input: {
      guidance_scale: 7.5,
      num_inference_steps: "50",
      num_outputs: 1,
      prompt: "Dwayne The Rock Johnson",
      seed: 420
    }
  }
);

// 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_EKO**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lambdal/text-to-pokemon using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lambdal/text-to-pokemon:3554d9e699e09693d3fa334a79c58be9a405dd021d3e11281256d53185868912",
    input={
        "guidance_scale": 7.5,
        "num_inference_steps": "50",
        "num_outputs": 1,
        "prompt": "Dwayne The Rock Johnson",
        "seed": 420
    }
)

# 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_EKO**********************************

This is your API token. Keep it to yourself.

Run lambdal/text-to-pokemon 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": "lambdal/text-to-pokemon:3554d9e699e09693d3fa334a79c58be9a405dd021d3e11281256d53185868912",
    "input": {
      "guidance_scale": 7.5,
      "num_inference_steps": "50",
      "num_outputs": 1,
      "prompt": "Dwayne The Rock Johnson",
      "seed": 420
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "ckco55pdazcnzcthddpsrcv7om",
  "model": "lambdal/text-to-pokemon",
  "version": "3554d9e699e09693d3fa334a79c58be9a405dd021d3e11281256d53185868912",
  "input": {
    "guidance_scale": 7.5,
    "num_inference_steps": "50",
    "num_outputs": 1,
    "prompt": "Dwayne The Rock Johnson",
    "seed": 420
  },
  "logs": "Using seed: 420\n\n  0%|          | 0/51 [00:00<?, ?it/s]\n  2%|▏         | 1/51 [00:00<00:07,  6.55it/s]\n  4%|▍         | 2/51 [00:00<00:11,  4.39it/s]\n  6%|▌         | 3/51 [00:00<00:12,  3.98it/s]\n  8%|▊         | 4/51 [00:00<00:12,  3.81it/s]\n 10%|▉         | 5/51 [00:01<00:12,  3.68it/s]\n 12%|█▏        | 6/51 [00:01<00:12,  3.63it/s]\n 14%|█▎        | 7/51 [00:01<00:12,  3.61it/s]\n 16%|█▌        | 8/51 [00:02<00:11,  3.59it/s]\n 18%|█▊        | 9/51 [00:02<00:11,  3.56it/s]\n 20%|█▉        | 10/51 [00:02<00:11,  3.55it/s]\n 22%|██▏       | 11/51 [00:02<00:11,  3.54it/s]\n 24%|██▎       | 12/51 [00:03<00:11,  3.53it/s]\n 25%|██▌       | 13/51 [00:03<00:10,  3.53it/s]\n 27%|██▋       | 14/51 [00:03<00:10,  3.52it/s]\n 29%|██▉       | 15/51 [00:04<00:10,  3.52it/s]\n 31%|███▏      | 16/51 [00:04<00:09,  3.51it/s]\n 33%|███▎      | 17/51 [00:04<00:09,  3.51it/s]\n 35%|███▌      | 18/51 [00:04<00:09,  3.51it/s]\n 37%|███▋      | 19/51 [00:05<00:09,  3.50it/s]\n 39%|███▉      | 20/51 [00:05<00:08,  3.51it/s]\n 41%|████      | 21/51 [00:05<00:08,  3.50it/s]\n 43%|████▎     | 22/51 [00:06<00:08,  3.48it/s]\n 45%|████▌     | 23/51 [00:06<00:08,  3.49it/s]\n 47%|████▋     | 24/51 [00:06<00:07,  3.49it/s]\n 49%|████▉     | 25/51 [00:06<00:07,  3.49it/s]\n 51%|█████     | 26/51 [00:07<00:07,  3.49it/s]\n 53%|█████▎    | 27/51 [00:07<00:06,  3.50it/s]\n 55%|█████▍    | 28/51 [00:07<00:06,  3.49it/s]\n 57%|█████▋    | 29/51 [00:08<00:06,  3.48it/s]\n 59%|█████▉    | 30/51 [00:08<00:06,  3.48it/s]\n 61%|██████    | 31/51 [00:08<00:05,  3.47it/s]\n 63%|██████▎   | 32/51 [00:08<00:05,  3.47it/s]\n 65%|██████▍   | 33/51 [00:09<00:05,  3.47it/s]\n 67%|██████▋   | 34/51 [00:09<00:04,  3.48it/s]\n 69%|██████▊   | 35/51 [00:09<00:04,  3.47it/s]\n 71%|███████   | 36/51 [00:10<00:04,  3.46it/s]\n 73%|███████▎  | 37/51 [00:10<00:04,  3.46it/s]\n 75%|███████▍  | 38/51 [00:10<00:03,  3.47it/s]\n 76%|███████▋  | 39/51 [00:11<00:03,  3.46it/s]\n 78%|███████▊  | 40/51 [00:11<00:03,  3.45it/s]\n 80%|████████  | 41/51 [00:11<00:02,  3.46it/s]\n 82%|████████▏ | 42/51 [00:11<00:02,  3.46it/s]\n 84%|████████▍ | 43/51 [00:12<00:02,  3.46it/s]\n 86%|████████▋ | 44/51 [00:12<00:02,  3.46it/s]\n 88%|████████▊ | 45/51 [00:12<00:01,  3.45it/s]\n 90%|█████████ | 46/51 [00:13<00:01,  3.46it/s]\n 92%|█████████▏| 47/51 [00:13<00:01,  3.44it/s]\n 94%|█████████▍| 48/51 [00:13<00:00,  3.44it/s]\n 96%|█████████▌| 49/51 [00:13<00:00,  3.43it/s]\n 98%|█████████▊| 50/51 [00:14<00:00,  3.43it/s]\n100%|██████████| 51/51 [00:14<00:00,  3.43it/s]\n100%|██████████| 51/51 [00:14<00:00,  3.52it/s]",
  "output": [
    "https://replicate.com/api/models/lambdal/text-to-pokemon/files/87a4292c-8394-404b-aea7-1f3118ecdff9/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2022-09-22T10:02:00.414341Z",
  "started_at": "2022-09-22T10:02:00.616492Z",
  "completed_at": "2022-09-22T10:02:16.331415Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/ckco55pdazcnzcthddpsrcv7om/cancel",
    "get": "https://api.replicate.com/v1/predictions/ckco55pdazcnzcthddpsrcv7om"
  },
  "metrics": {
    "predict_time": 15.714923,
    "total_time": 15.917074
  }
}

Generated in

15.7 seconds

Tweak it Report

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