Prediction

ID

k9vpfs2a5drm60cjjvqt58yezg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

13.6s

Created

7 months ago

Input

model: schnell
prompt: Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art
lora_scale: 1
num_outputs: 1
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "schnell",
  "prompt": "Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art",
  "lora_scale": 1,
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
  {
    input: {
      model: "schnell",
      prompt: "Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art",
      lora_scale: 1,
      num_outputs: 1,
      aspect_ratio: "1:1",
      output_format: "webp",
      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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    input={
        "model": "schnell",
        "prompt": "Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art",
        "lora_scale": 1,
        "num_outputs": 1,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "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 jayenkai/derek 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": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    "input": {
      "model": "schnell",
      "prompt": "Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art",
      "lora_scale": 1,
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "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": "2024-10-16T20:05:31.043316Z",
  "created_at": "2024-10-16T20:05:17.483000Z",
  "data_removed": false,
  "error": null,
  "id": "k9vpfs2a5drm60cjjvqt58yezg",
  "input": {
    "model": "schnell",
    "prompt": "Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art",
    "lora_scale": 1,
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 21428\nPrompt: Cartoon Derek excitedly sits atop a speeding meteorite as it hurtles through the cosmos, epic sci-fi movie poster art\n[!] txt2img mode\nUsing schnell model\nLoaded LoRAs in 0.70s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:08,  3.05it/s]\n  7%|▋         | 2/28 [00:00<00:07,  3.40it/s]\n 11%|█         | 3/28 [00:00<00:07,  3.23it/s]\n 14%|█▍        | 4/28 [00:01<00:07,  3.16it/s]\n 18%|█▊        | 5/28 [00:01<00:07,  3.12it/s]\n 21%|██▏       | 6/28 [00:01<00:07,  3.10it/s]\n 25%|██▌       | 7/28 [00:02<00:06,  3.08it/s]\n 29%|██▊       | 8/28 [00:02<00:06,  3.07it/s]\n 32%|███▏      | 9/28 [00:02<00:06,  3.07it/s]\n 36%|███▌      | 10/28 [00:03<00:05,  3.06it/s]\n 39%|███▉      | 11/28 [00:03<00:05,  3.06it/s]\n 43%|████▎     | 12/28 [00:03<00:05,  3.06it/s]\n 46%|████▋     | 13/28 [00:04<00:04,  3.06it/s]\n 50%|█████     | 14/28 [00:04<00:04,  3.05it/s]\n 54%|█████▎    | 15/28 [00:04<00:04,  3.05it/s]\n 57%|█████▋    | 16/28 [00:05<00:03,  3.05it/s]\n 61%|██████    | 17/28 [00:05<00:03,  3.05it/s]\n 64%|██████▍   | 18/28 [00:05<00:03,  3.05it/s]\n 68%|██████▊   | 19/28 [00:06<00:02,  3.05it/s]\n 71%|███████▏  | 20/28 [00:06<00:02,  3.05it/s]\n 75%|███████▌  | 21/28 [00:06<00:02,  3.05it/s]\n 79%|███████▊  | 22/28 [00:07<00:01,  3.05it/s]\n 82%|████████▏ | 23/28 [00:07<00:01,  3.05it/s]\n 86%|████████▌ | 24/28 [00:07<00:01,  3.05it/s]\n 89%|████████▉ | 25/28 [00:08<00:00,  3.05it/s]\n 93%|█████████▎| 26/28 [00:08<00:00,  3.05it/s]\n 96%|█████████▋| 27/28 [00:08<00:00,  3.05it/s]\n100%|██████████| 28/28 [00:09<00:00,  3.05it/s]\n100%|██████████| 28/28 [00:09<00:00,  3.07it/s]",
  "metrics": {
    "predict_time": 10.162678318,
    "total_time": 13.560316
  },
  "output": [
    "https://replicate.delivery/yhqm/fTwlLVTBicyMQCDYDnKWBGhS1vaWf8cgi60ntiMwV5KL6cnTA/out-0.webp"
  ],
  "started_at": "2024-10-16T20:05:20.880638Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/k9vpfs2a5drm60cjjvqt58yezg",
    "cancel": "https://api.replicate.com/v1/predictions/k9vpfs2a5drm60cjjvqt58yezg/cancel"
  },
  "version": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb"
}

Generated in

10.2 seconds

jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb

Prediction

Model

ID

3yenbwsb4hrm40cjjw0ac2b6sr

Status

Succeeded

Source

Web

Hardware

H100

Total duration

34.7s

Created

7 months ago

Input

model: schnell
prompt: Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting
lora_scale: 1
num_outputs: 4
aspect_ratio: 1:1
output_format: webp
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "schnell",
  "prompt": "Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting",
  "lora_scale": 1,
  "num_outputs": 4,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
  {
    input: {
      model: "schnell",
      prompt: "Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting",
      lora_scale: 1,
      num_outputs: 4,
      aspect_ratio: "1:1",
      output_format: "webp",
      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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    input={
        "model": "schnell",
        "prompt": "Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting",
        "lora_scale": 1,
        "num_outputs": 4,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "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 jayenkai/derek 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": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    "input": {
      "model": "schnell",
      "prompt": "Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting",
      "lora_scale": 1,
      "num_outputs": 4,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "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": "2024-10-16T20:24:18.339170Z",
  "created_at": "2024-10-16T20:23:43.652000Z",
  "data_removed": false,
  "error": null,
  "id": "3yenbwsb4hrm40cjjw0ac2b6sr",
  "input": {
    "model": "schnell",
    "prompt": "Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 14503\nPrompt: Cartoon Derek wearing a Santa Costume, christmas, tree, lights, cinematic lighting\n[!] txt2img mode\nUsing schnell model\nWeights already loaded\nLoaded LoRAs in 0.03s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:32,  1.20s/it]\n  7%|▋         | 2/28 [00:02<00:28,  1.08s/it]\n 11%|█         | 3/28 [00:03<00:28,  1.14s/it]\n 14%|█▍        | 4/28 [00:04<00:27,  1.16s/it]\n 18%|█▊        | 5/28 [00:05<00:27,  1.18s/it]\n 21%|██▏       | 6/28 [00:07<00:26,  1.19s/it]\n 25%|██▌       | 7/28 [00:08<00:25,  1.19s/it]\n 29%|██▊       | 8/28 [00:09<00:23,  1.19s/it]\n 32%|███▏      | 9/28 [00:10<00:22,  1.20s/it]\n 36%|███▌      | 10/28 [00:11<00:21,  1.20s/it]\n 39%|███▉      | 11/28 [00:13<00:20,  1.20s/it]\n 43%|████▎     | 12/28 [00:14<00:19,  1.20s/it]\n 46%|████▋     | 13/28 [00:15<00:18,  1.20s/it]\n 50%|█████     | 14/28 [00:16<00:16,  1.20s/it]\n 54%|█████▎    | 15/28 [00:17<00:15,  1.20s/it]\n 57%|█████▋    | 16/28 [00:19<00:14,  1.20s/it]\n 61%|██████    | 17/28 [00:20<00:13,  1.20s/it]\n 64%|██████▍   | 18/28 [00:21<00:12,  1.20s/it]\n 68%|██████▊   | 19/28 [00:22<00:10,  1.20s/it]\n 71%|███████▏  | 20/28 [00:23<00:09,  1.20s/it]\n 75%|███████▌  | 21/28 [00:25<00:08,  1.20s/it]\n 79%|███████▊  | 22/28 [00:26<00:07,  1.20s/it]\n 82%|████████▏ | 23/28 [00:27<00:06,  1.20s/it]\n 86%|████████▌ | 24/28 [00:28<00:04,  1.20s/it]\n 89%|████████▉ | 25/28 [00:29<00:03,  1.20s/it]\n 93%|█████████▎| 26/28 [00:31<00:02,  1.20s/it]\n 96%|█████████▋| 27/28 [00:32<00:01,  1.20s/it]\n100%|██████████| 28/28 [00:33<00:00,  1.20s/it]\n100%|██████████| 28/28 [00:33<00:00,  1.20s/it]",
  "metrics": {
    "predict_time": 34.678173301,
    "total_time": 34.68717
  },
  "output": [
    "https://replicate.delivery/yhqm/BBSElyfzAz1re0CpooZd2kMzpOfyDeQj1lhdJytuR9WJv0dOB/out-0.webp",
    "https://replicate.delivery/yhqm/9C5atmY5mZa6Ahzj3nykbOQDAN9m0GlVr52upeIceTiyLdnTA/out-1.webp",
    "https://replicate.delivery/yhqm/KbFa8oezlz26diPk45qz4eO4lkeTNepcqpnggTxEXrlJv0dOB/out-2.webp",
    "https://replicate.delivery/yhqm/YmwMFG2Ly55oGlf99TlUTtIieleXnJfPksFSLv66xkeSeS35E/out-3.webp"
  ],
  "started_at": "2024-10-16T20:23:43.660997Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/3yenbwsb4hrm40cjjw0ac2b6sr",
    "cancel": "https://api.replicate.com/v1/predictions/3yenbwsb4hrm40cjjw0ac2b6sr/cancel"
  },
  "version": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb"
}

Generated in

34.7 seconds

jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb

Prediction

Model

ID

ca231gcxnhrm60cjkdfrspnqfr

Status

Succeeded

Source

Web

Hardware

H100

Total duration

13.7s

Created

7 months ago

Input

model: schnell
prompt: Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art
lora_scale: 1
num_outputs: 4
aspect_ratio: 3:2
output_format: png
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 10

{
  "model": "schnell",
  "prompt": "Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art",
  "lora_scale": 1,
  "num_outputs": 4,
  "aspect_ratio": "3:2",
  "output_format": "png",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 10
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
  {
    input: {
      model: "schnell",
      prompt: "Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art",
      lora_scale: 1,
      num_outputs: 4,
      aspect_ratio: "3:2",
      output_format: "png",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 10
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    input={
        "model": "schnell",
        "prompt": "Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art",
        "lora_scale": 1,
        "num_outputs": 4,
        "aspect_ratio": "3:2",
        "output_format": "png",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 10
    }
)
print(output)

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

Run jayenkai/derek 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": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    "input": {
      "model": "schnell",
      "prompt": "Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art",
      "lora_scale": 1,
      "num_outputs": 4,
      "aspect_ratio": "3:2",
      "output_format": "png",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 10
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-10-17T16:46:41.434227Z",
  "created_at": "2024-10-17T16:46:27.756000Z",
  "data_removed": false,
  "error": null,
  "id": "ca231gcxnhrm60cjkdfrspnqfr",
  "input": {
    "model": "schnell",
    "prompt": "Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art",
    "lora_scale": 1,
    "num_outputs": 4,
    "aspect_ratio": "3:2",
    "output_format": "png",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 10
  },
  "logs": "Using seed: 58028\nPrompt: Cartoon Derek flies through a psychedelic colourful vortex, sci-fi movie poster art\n[!] txt2img mode\nUsing schnell model\nWeights already loaded\nLoaded LoRAs in 0.03s\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:01<00:10,  1.16s/it]\n 20%|██        | 2/10 [00:02<00:08,  1.04s/it]\n 30%|███       | 3/10 [00:03<00:07,  1.09s/it]\n 40%|████      | 4/10 [00:04<00:06,  1.12s/it]\n 50%|█████     | 5/10 [00:05<00:05,  1.13s/it]\n 60%|██████    | 6/10 [00:06<00:04,  1.14s/it]\n 70%|███████   | 7/10 [00:07<00:03,  1.14s/it]\n 80%|████████  | 8/10 [00:09<00:02,  1.15s/it]\n 90%|█████████ | 9/10 [00:10<00:01,  1.15s/it]\n100%|██████████| 10/10 [00:11<00:00,  1.15s/it]\n100%|██████████| 10/10 [00:11<00:00,  1.14s/it]",
  "metrics": {
    "predict_time": 13.670338732,
    "total_time": 13.678227
  },
  "output": [
    "https://replicate.delivery/yhqm/y8QHvaiptq7XFZQlQhfZoPdZ51fMlL6NuffP8rsBamUEX8ecC/out-0.png",
    "https://replicate.delivery/yhqm/KwNW2mXXJGbxOBilrBT8vfwfedwoTSjpvfX62pF6cACFX8ecC/out-1.png",
    "https://replicate.delivery/yhqm/eenQQ4re9exitSaW5dE5OTDvPo43EHyrb6SiPSi7f1iNu49cC/out-2.png",
    "https://replicate.delivery/yhqm/Rtb3UO7EwYpZOlTRfZFfOAVlIl22f7ldHUWRw4ZeVlKEX8ecC/out-3.png"
  ],
  "started_at": "2024-10-17T16:46:27.763888Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ca231gcxnhrm60cjkdfrspnqfr",
    "cancel": "https://api.replicate.com/v1/predictions/ca231gcxnhrm60cjkdfrspnqfr/cancel"
  },
  "version": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb"
}

Generated in

13.7 seconds

jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb

Prediction

Model

ID

z4xwevjbgnrme0ck26f9epdher

Status

Succeeded

Source

Web

Hardware

H100

Total duration

16.4s

Created

6 months ago

Input

model: schnell
prompt: Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life
lora_scale: 0.93
num_outputs: 4
aspect_ratio: 3:2
output_format: png
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 7

{
  "model": "schnell",
  "prompt": "Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life",
  "lora_scale": 0.93,
  "num_outputs": 4,
  "aspect_ratio": "3:2",
  "output_format": "png",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 7
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
  {
    input: {
      model: "schnell",
      prompt: "Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life",
      lora_scale: 0.93,
      num_outputs: 4,
      aspect_ratio: "3:2",
      output_format: "png",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 7
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    input={
        "model": "schnell",
        "prompt": "Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life",
        "lora_scale": 0.93,
        "num_outputs": 4,
        "aspect_ratio": "3:2",
        "output_format": "png",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 7
    }
)
print(output)

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

Run jayenkai/derek 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": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    "input": {
      "model": "schnell",
      "prompt": "Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life",
      "lora_scale": 0.93,
      "num_outputs": 4,
      "aspect_ratio": "3:2",
      "output_format": "png",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-11-09T15:50:23.363211Z",
  "created_at": "2024-11-09T15:50:06.981000Z",
  "data_removed": false,
  "error": null,
  "id": "z4xwevjbgnrme0ck26f9epdher",
  "input": {
    "model": "schnell",
    "prompt": "Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life",
    "lora_scale": 0.93,
    "num_outputs": 4,
    "aspect_ratio": "3:2",
    "output_format": "png",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 7
  },
  "logs": "Using seed: 37778\nPrompt: Derek wanders through a cosmic wonderland full of curious creatures and amazingly colourful plant life\n[!] txt2img mode\nUsing schnell model\nfree=29541369712640\nDownloading weights\n2024-11-09T15:50:07Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp_fhllt_q/weights url=https://replicate.delivery/yhqm/3J7GlrMKoeVGQywjJX2lvSEjfzuTIloOePQKayMJzwTLT4OnA/trained_model.tar\n2024-11-09T15:50:13Z | INFO  | [ Complete ] dest=/tmp/tmp_fhllt_q/weights size=\"172 MB\" total_elapsed=6.586s url=https://replicate.delivery/yhqm/3J7GlrMKoeVGQywjJX2lvSEjfzuTIloOePQKayMJzwTLT4OnA/trained_model.tar\nDownloaded weights in 6.61s\nLoaded LoRAs in 7.08s\n  0%|          | 0/7 [00:00<?, ?it/s]\n 14%|█▍        | 1/7 [00:01<00:06,  1.10s/it]\n 29%|██▊       | 2/7 [00:02<00:04,  1.00it/s]\n 43%|████▎     | 3/7 [00:03<00:04,  1.04s/it]\n 57%|█████▋    | 4/7 [00:04<00:03,  1.06s/it]\n 71%|███████▏  | 5/7 [00:05<00:02,  1.07s/it]\n 86%|████████▌ | 6/7 [00:06<00:01,  1.08s/it]\n100%|██████████| 7/7 [00:07<00:00,  1.09s/it]\n100%|██████████| 7/7 [00:07<00:00,  1.07s/it]",
  "metrics": {
    "predict_time": 16.356187402,
    "total_time": 16.382211
  },
  "output": [
    "https://replicate.delivery/xezq/K3K0mG8DaIYNHVJnpBAsDDsrFcHA0NdHyFjnY48wAk5v207E/out-0.png",
    "https://replicate.delivery/xezq/RCHBf8gstZynV6anQjUrcZTT3kT89mbXgGthZpjyQgufaTvTA/out-1.png",
    "https://replicate.delivery/xezq/jOCsfOnyfxvrxkKkPkzr8ZCF6OeLKdm5uvVLLg1N17WfrN9OB/out-2.png",
    "https://replicate.delivery/xezq/lUJBq4lebqW3aqa4G7nUII7G5AzncpUL4elJmfU7cZQerN9OB/out-3.png"
  ],
  "started_at": "2024-11-09T15:50:07.007023Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-xxqlmgagqrrrqcqdpy7a3xbo5jbx7ce6k452akxatulcjln7blpa",
    "get": "https://api.replicate.com/v1/predictions/z4xwevjbgnrme0ck26f9epdher",
    "cancel": "https://api.replicate.com/v1/predictions/z4xwevjbgnrme0ck26f9epdher/cancel"
  },
  "version": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb"
}

Generated in

16.4 seconds

jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb

Prediction

Model

ID

0g5caq5hjdrme0cm45fsrsj820

Status

Succeeded

Source

Web

Hardware

H100

Total duration

15.0s

Created

4 months ago

Input

model: schnell
prompt: Cartoon Derek sits in his office cubicle surrounded by paper aeroplanes
go_fast
lora_scale: 0.93
megapixels: 1
num_outputs: 4
aspect_ratio: 3:2
output_format: png
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 5

{
  "model": "schnell",
  "prompt": "Cartoon Derek sits in his office cubicle surrounded by paper aeroplanes",
  "go_fast": false,
  "lora_scale": 0.93,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "3:2",
  "output_format": "png",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 5
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
  {
    input: {
      model: "schnell",
      prompt: "Cartoon Derek sits in his office cubicle surrounded by paper aeroplanes",
      go_fast: false,
      lora_scale: 0.93,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "3:2",
      output_format: "png",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 5
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "jayenkai/derek:841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    input={
        "model": "schnell",
        "prompt": "Cartoon Derek sits in his office cubicle surrounded by paper aeroplanes",
        "go_fast": False,
        "lora_scale": 0.93,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "3:2",
        "output_format": "png",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 5
    }
)
print(output)

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

Run jayenkai/derek 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": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb",
    "input": {
      "model": "schnell",
      "prompt": "Cartoon Derek sits in his office cubicle surrounded by paper aeroplanes",
      "go_fast": false,
      "lora_scale": 0.93,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "3:2",
      "output_format": "png",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-01-01T10:18:42.108181Z",
  "created_at": "2025-01-01T10:18:27.091000Z",
  "data_removed": false,
  "error": null,
  "id": "0g5caq5hjdrme0cm45fsrsj820",
  "input": {
    "model": "schnell",
    "prompt": "Cartoon Derek sits in his office cubicle surrounded by paper aeroplanes",
    "go_fast": false,
    "lora_scale": 0.93,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "3:2",
    "output_format": "png",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 5
  },
  "logs": "free=29820075393024\nDownloading weights\n2025-01-01T10:18:27Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmptxbbouiz/weights url=https://replicate.delivery/yhqm/3J7GlrMKoeVGQywjJX2lvSEjfzuTIloOePQKayMJzwTLT4OnA/trained_model.tar\n2025-01-01T10:18:32Z | INFO  | [ Complete ] dest=/tmp/tmptxbbouiz/weights size=\"172 MB\" total_elapsed=5.639s url=https://replicate.delivery/yhqm/3J7GlrMKoeVGQywjJX2lvSEjfzuTIloOePQKayMJzwTLT4OnA/trained_model.tar\nDownloaded weights in 5.66s\n2025-01-01 10:18:32.863 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/dab1800c21690572\n2025-01-01 10:18:32.933 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-01 10:18:32.933 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-01 10:18:32.933 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  93%|█████████▎| 282/304 [00:00<00:00, 2813.15it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2706.20it/s]\n2025-01-01 10:18:33.046 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 5706\n0it [00:00, ?it/s]\n1it [00:00,  8.89it/s]\n2it [00:00,  6.17it/s]\n3it [00:00,  5.63it/s]\n4it [00:00,  5.40it/s]\n5it [00:00,  5.25it/s]\n5it [00:00,  5.54it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.87it/s]\n2it [00:00,  4.94it/s]\n3it [00:00,  5.02it/s]\n4it [00:00,  5.03it/s]\n5it [00:00,  5.02it/s]\n5it [00:00,  5.01it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.98it/s]\n2it [00:00,  5.01it/s]\n3it [00:00,  5.04it/s]\n4it [00:00,  5.04it/s]\n5it [00:00,  5.04it/s]\n5it [00:00,  5.03it/s]\n0it [00:00, ?it/s]\n1it [00:00,  4.98it/s]\n2it [00:00,  4.97it/s]\n3it [00:00,  4.98it/s]\n4it [00:00,  5.00it/s]\n5it [00:01,  5.00it/s]\n5it [00:01,  4.99it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 14.908393071999999,
    "total_time": 15.017181
  },
  "output": [
    "https://replicate.delivery/xezq/o6XznDKuaLouMth7YUNaJeY2ZEdnJLXLCXABtiGhfemEEZBoA/out-0.png",
    "https://replicate.delivery/xezq/NJ6PzI09CWKtP5IprWpKuIW6shFXF1ow2OLCU85srKlgILAF/out-1.png",
    "https://replicate.delivery/xezq/M8TQuj210fzUCqUAuQiEZCbsbUaGDXoemMfHc4cePBQJIyCQB/out-2.png",
    "https://replicate.delivery/xezq/wqQk7j0KPvbPLNNlveVFxSGVZYJ7R1m4lzLNOvrzX8DBRWAKA/out-3.png"
  ],
  "started_at": "2025-01-01T10:18:27.199788Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-3qf26mn5umzlahki6xuvs3u4qqwgafusmovac4nsxnzbeyl5mlkq",
    "get": "https://api.replicate.com/v1/predictions/0g5caq5hjdrme0cm45fsrsj820",
    "cancel": "https://api.replicate.com/v1/predictions/0g5caq5hjdrme0cm45fsrsj820/cancel"
  },
  "version": "841fda16c59f79d21d19013cdb1ff3b7ce65e756be9d07bde39065b8cf1cf4fb"
}

Generated in

14.9 seconds