Prediction

Model

swk23/thrawn:42ae1f4c

bpe83gy2fhrm80cmwvpvnmv1pm

Status

Succeeded

Source

Web

Hardware

H100

Total duration

6.8s

Created

10 months ago

Webhook

–

Input

prompt: "close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation."
image: https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png
mask: https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png
aspect_ratio: 21:9
prompt_strength: 0.8
model: dev
num_outputs: 1
num_inference_steps: 28
guidance_scale: 3
output_format: jpg
output_quality: 80
go_fast: false
megapixels: 1
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "21:9",
  "extra_lora_scale": 1,
  "go_fast": false,
  "guidance_scale": 3,
  "image": "https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png",
  "lora_scale": 1,
  "mask": "https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png",
  "megapixels": "1",
  "model": "dev",
  "num_inference_steps": 28,
  "num_outputs": 1,
  "output_format": "jpg",
  "output_quality": 80,
  "prompt": "\"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\"",
  "prompt_strength": 0.8
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_MKj**********************************

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

const output = await replicate.run(
  "swk23/thrawn:42ae1f4cb37a88cb8bcc17e5949e52290d1fe5a74a50a11b05a61cc98ff62d56",
  {
    input: {
      aspect_ratio: "21:9",
      extra_lora_scale: 1,
      go_fast: false,
      guidance_scale: 3,
      image: "https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png",
      lora_scale: 1,
      mask: "https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png",
      megapixels: "1",
      model: "dev",
      num_inference_steps: 28,
      num_outputs: 1,
      output_format: "jpg",
      output_quality: 80,
      prompt: "\"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\"",
      prompt_strength: 0.8
    }
  }
);

// 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_MKj**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "swk23/thrawn:42ae1f4cb37a88cb8bcc17e5949e52290d1fe5a74a50a11b05a61cc98ff62d56",
    input={
        "aspect_ratio": "21:9",
        "extra_lora_scale": 1,
        "go_fast": False,
        "guidance_scale": 3,
        "image": "https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png",
        "lora_scale": 1,
        "mask": "https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png",
        "megapixels": "1",
        "model": "dev",
        "num_inference_steps": 28,
        "num_outputs": 1,
        "output_format": "jpg",
        "output_quality": 80,
        "prompt": "\"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\"",
        "prompt_strength": 0.8
    }
)

# 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_MKj**********************************

This is your API token. Keep it to yourself.

Run swk23/thrawn 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/thrawn:42ae1f4cb37a88cb8bcc17e5949e52290d1fe5a74a50a11b05a61cc98ff62d56",
    "input": {
      "aspect_ratio": "21:9",
      "extra_lora_scale": 1,
      "go_fast": false,
      "guidance_scale": 3,
      "image": "https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png",
      "lora_scale": 1,
      "mask": "https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png",
      "megapixels": "1",
      "model": "dev",
      "num_inference_steps": 28,
      "num_outputs": 1,
      "output_format": "jpg",
      "output_quality": 80,
      "prompt": "\\"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\\"",
      "prompt_strength": 0.8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "bpe83gy2fhrm80cmwvpvnmv1pm",
  "model": "swk23/thrawn",
  "version": "42ae1f4cb37a88cb8bcc17e5949e52290d1fe5a74a50a11b05a61cc98ff62d56",
  "input": {
    "aspect_ratio": "21:9",
    "extra_lora_scale": 1,
    "go_fast": false,
    "guidance_scale": 3,
    "image": "https://replicate.delivery/pbxt/MSsWw1V5lhrBELDWGjE3yj5FMxXWynrP5wluUxurtBu3kpOw/test.png",
    "lora_scale": 1,
    "mask": "https://replicate.delivery/pbxt/MSsWwCc2J9C9y1lJagB7emAf7SUZhq1sm0gox9Bmu87TGfRt/test1.png",
    "megapixels": "1",
    "model": "dev",
    "num_inference_steps": 28,
    "num_outputs": 1,
    "output_format": "jpg",
    "output_quality": 80,
    "prompt": "\"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\"",
    "prompt_strength": 0.8
  },
  "logs": "Loaded LoRAs in 0.56s\nUsing seed: 55506\nPrompt: \"close up of Grand Admiral Thrawn stands tall in a cold, windowless, metallic Imperial meeting room, His pristine white uniform contrasts against the dark surroundings, his posture exuding quiet confidence and meticulous calculation.\"\n[!] Resizing input image from 1536x640 to 1536x640\n[!] inpaint mode\n  0%|          | 0/23 [00:00<?, ?it/s]\n  4%|▍         | 1/23 [00:00<00:06,  3.52it/s]\n  9%|▊         | 2/23 [00:00<00:05,  3.92it/s]\n 13%|█▎        | 3/23 [00:00<00:04,  4.06it/s]\n 17%|█▋        | 4/23 [00:00<00:04,  4.14it/s]\n 22%|██▏       | 5/23 [00:01<00:04,  4.18it/s]\n 26%|██▌       | 6/23 [00:01<00:04,  4.21it/s]\n 30%|███       | 7/23 [00:01<00:03,  4.23it/s]\n 35%|███▍      | 8/23 [00:01<00:03,  4.24it/s]\n 39%|███▉      | 9/23 [00:02<00:03,  4.24it/s]\n 43%|████▎     | 10/23 [00:02<00:03,  4.25it/s]\n 48%|████▊     | 11/23 [00:02<00:02,  4.25it/s]\n 52%|█████▏    | 12/23 [00:02<00:02,  4.25it/s]\n 57%|█████▋    | 13/23 [00:03<00:02,  4.26it/s]\n 61%|██████    | 14/23 [00:03<00:02,  4.25it/s]\n 65%|██████▌   | 15/23 [00:03<00:01,  4.25it/s]\n 70%|██████▉   | 16/23 [00:03<00:01,  4.25it/s]\n 74%|███████▍  | 17/23 [00:04<00:01,  4.25it/s]\n 78%|███████▊  | 18/23 [00:04<00:01,  4.25it/s]\n 83%|████████▎ | 19/23 [00:04<00:00,  4.25it/s]\n 87%|████████▋ | 20/23 [00:04<00:00,  4.25it/s]\n 91%|█████████▏| 21/23 [00:04<00:00,  4.26it/s]\n 96%|█████████▌| 22/23 [00:05<00:00,  4.26it/s]\n100%|██████████| 23/23 [00:05<00:00,  4.53it/s]\n100%|██████████| 23/23 [00:05<00:00,  4.25it/s]\nTotal safe images: 1 out of 1",
  "output": [
    "https://replicate.delivery/xezq/zMegyYk8Md2bBSftRs0KdEEQrXPRhtzADBDyzv0HS52vtVNUA/out-0.jpg"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-02-08T18:58:49.084Z",
  "started_at": "2025-02-08T18:58:49.172451Z",
  "completed_at": "2025-02-08T18:58:55.84176Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/bpe83gy2fhrm80cmwvpvnmv1pm/cancel",
    "get": "https://api.replicate.com/v1/predictions/bpe83gy2fhrm80cmwvpvnmv1pm",
    "stream": "https://stream.replicate.com/v1/files/bcwr-36h3s2d3xit33vcetb3jeaijc6vdovgkcsoxyhoiv36bilvr3h3a",
    "web": "https://replicate.com/p/bpe83gy2fhrm80cmwvpvnmv1pm"
  },
  "metrics": {
    "predict_time": 6.669308907,
    "total_time": 6.75776
  }
}

Generated in

6.7 seconds

Tweak it Report