swk23 / anakin

{
  "model": "dev",
  "prompt": "ANI wearing jedi clothing sitting on a couch with a friend talking",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "21:9",
  "output_format": "jpg",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

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 swk23/anakin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "swk23/anakin:bcbdd7144f1d3425e4f7bf12ee907abd45c88b3270a61debfb7e4cacc0d36421",
  {
    input: {
      model: "dev",
      prompt: "ANI wearing jedi clothing sitting on a couch with a friend talking",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "21:9",
      output_format: "jpg",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// 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 swk23/anakin using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "swk23/anakin:bcbdd7144f1d3425e4f7bf12ee907abd45c88b3270a61debfb7e4cacc0d36421",
    input={
        "model": "dev",
        "prompt": "ANI wearing jedi clothing sitting on a couch with a friend talking",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "21:9",
        "output_format": "jpg",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)
print(output)

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

Run swk23/anakin 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": "swk23/anakin:bcbdd7144f1d3425e4f7bf12ee907abd45c88b3270a61debfb7e4cacc0d36421",
    "input": {
      "model": "dev",
      "prompt": "ANI wearing jedi clothing sitting on a couch with a friend talking",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "21:9",
      "output_format": "jpg",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-02-26T18:15:10.063149Z",
  "created_at": "2025-02-26T18:15:03.335000Z",
  "data_removed": false,
  "error": null,
  "id": "jgw8a919mxrme0cn8dwasmwy64",
  "input": {
    "model": "dev",
    "prompt": "ANI wearing jedi clothing sitting on a couch with a friend talking",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "21:9",
    "output_format": "jpg",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Weights already loaded\nLoaded LoRAs in 0.02s\nUsing seed: 9329\nPrompt: ANI wearing jedi clothing sitting on a couch with a friend talking\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:06,  4.29it/s]\n  7%|▋         | 2/28 [00:00<00:05,  4.83it/s]\n 11%|█         | 3/28 [00:00<00:05,  4.56it/s]\n 14%|█▍        | 4/28 [00:00<00:05,  4.45it/s]\n 18%|█▊        | 5/28 [00:01<00:05,  4.39it/s]\n 21%|██▏       | 6/28 [00:01<00:05,  4.35it/s]\n 25%|██▌       | 7/28 [00:01<00:04,  4.33it/s]\n 29%|██▊       | 8/28 [00:01<00:04,  4.32it/s]\n 32%|███▏      | 9/28 [00:02<00:04,  4.30it/s]\n 36%|███▌      | 10/28 [00:02<00:04,  4.30it/s]\n 39%|███▉      | 11/28 [00:02<00:03,  4.29it/s]\n 43%|████▎     | 12/28 [00:02<00:03,  4.29it/s]\n 46%|████▋     | 13/28 [00:02<00:03,  4.29it/s]\n 50%|█████     | 14/28 [00:03<00:03,  4.29it/s]\n 54%|█████▎    | 15/28 [00:03<00:03,  4.28it/s]\n 57%|█████▋    | 16/28 [00:03<00:02,  4.28it/s]\n 61%|██████    | 17/28 [00:03<00:02,  4.28it/s]\n 64%|██████▍   | 18/28 [00:04<00:02,  4.28it/s]\n 68%|██████▊   | 19/28 [00:04<00:02,  4.28it/s]\n 71%|███████▏  | 20/28 [00:04<00:01,  4.28it/s]\n 75%|███████▌  | 21/28 [00:04<00:01,  4.28it/s]\n 79%|███████▊  | 22/28 [00:05<00:01,  4.28it/s]\n 82%|████████▏ | 23/28 [00:05<00:01,  4.28it/s]\n 86%|████████▌ | 24/28 [00:05<00:00,  4.29it/s]\n 89%|████████▉ | 25/28 [00:05<00:00,  4.29it/s]\n 93%|█████████▎| 26/28 [00:06<00:00,  4.28it/s]\n 96%|█████████▋| 27/28 [00:06<00:00,  4.28it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.28it/s]\n100%|██████████| 28/28 [00:06<00:00,  4.31it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 6.720443797,
    "total_time": 6.728149
  },
  "output": [
    "https://replicate.delivery/xezq/1Cf2CKKeZ2jXeJJeiconGcUSYm9VUw7dmKFQEsfAZdExFGaiC/out-0.jpg"
  ],
  "started_at": "2025-02-26T18:15:03.342705Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-bx3gfprhucjkro6yjgm5daasqljxvffhdn3b5nomegqvmy7b7aqq",
    "get": "https://api.replicate.com/v1/predictions/jgw8a919mxrme0cn8dwasmwy64",
    "cancel": "https://api.replicate.com/v1/predictions/jgw8a919mxrme0cn8dwasmwy64/cancel"
  },
  "version": "bcbdd7144f1d3425e4f7bf12ee907abd45c88b3270a61debfb7e4cacc0d36421"
}

Generated in

6.7 seconds

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