digital-darts / josh-generator

model: dev
prompt: Two side-by-side shots of Josh and his brand: Left: Sad Josh with “$300K profit” Right: Happy Josh with “$4.3M profit” Add a glowing arrow labeled “One Change”. Text: “One Shift = $4M?”
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 3
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Two side-by-side shots of Josh and his brand:\n\nLeft: Sad Josh with “$300K profit”\n\nRight: Happy Josh with “$4.3M profit”\nAdd a glowing arrow labeled “One Change”. Text:\n“One Shift = $4M?”",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 3,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "Two side-by-side shots of Josh and his brand:\n\nLeft: Sad Josh with “$300K profit”\n\nRight: Happy Josh with “$4.3M profit”\nAdd a glowing arrow labeled “One Change”. Text:\n“One Shift = $4M?”",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 3,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "Two side-by-side shots of Josh and his brand:\n\nLeft: Sad Josh with “$300K profit”\n\nRight: Happy Josh with “$4.3M profit”\nAdd a glowing arrow labeled “One Change”. Text:\n“One Shift = $4M?”",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 3,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "Two side-by-side shots of Josh and his brand:\\n\\nLeft: Sad Josh with “$300K profit”\\n\\nRight: Happy Josh with “$4.3M profit”\\nAdd a glowing arrow labeled “One Change”. Text:\\n“One Shift = $4M?”",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 3,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T22:39:36.181242Z",
  "created_at": "2025-03-27T22:39:07.981000Z",
  "data_removed": false,
  "error": null,
  "id": "yxj6dkatsnrma0cnv718ftdpjw",
  "input": {
    "model": "dev",
    "prompt": "Two side-by-side shots of Josh and his brand:\n\nLeft: Sad Josh with “$300K profit”\n\nRight: Happy Josh with “$4.3M profit”\nAdd a glowing arrow labeled “One Change”. Text:\n“One Shift = $4M?”",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 3,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.56s\nUsing seed: 35743\nPrompt: Two side-by-side shots of Josh and his brand:\nLeft: Sad Josh with “$300K profit”\nRight: Happy Josh with “$4.3M profit”\nAdd a glowing arrow labeled “One Change”. Text:\n“One Shift = $4M?”\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:19,  1.38it/s]\n  7%|▋         | 2/28 [00:01<00:16,  1.55it/s]\n 11%|█         | 3/28 [00:02<00:17,  1.46it/s]\n 14%|█▍        | 4/28 [00:02<00:16,  1.42it/s]\n 18%|█▊        | 5/28 [00:03<00:16,  1.40it/s]\n 21%|██▏       | 6/28 [00:04<00:15,  1.39it/s]\n 25%|██▌       | 7/28 [00:04<00:15,  1.38it/s]\n 29%|██▊       | 8/28 [00:05<00:14,  1.37it/s]\n 32%|███▏      | 9/28 [00:06<00:13,  1.37it/s]\n 36%|███▌      | 10/28 [00:07<00:13,  1.37it/s]\n 39%|███▉      | 11/28 [00:07<00:12,  1.37it/s]\n 43%|████▎     | 12/28 [00:08<00:11,  1.36it/s]\n 46%|████▋     | 13/28 [00:09<00:11,  1.36it/s]\n 50%|█████     | 14/28 [00:10<00:10,  1.36it/s]\n 54%|█████▎    | 15/28 [00:10<00:09,  1.36it/s]\n 57%|█████▋    | 16/28 [00:11<00:08,  1.36it/s]\n 61%|██████    | 17/28 [00:12<00:08,  1.36it/s]\n 64%|██████▍   | 18/28 [00:13<00:07,  1.36it/s]\n 68%|██████▊   | 19/28 [00:13<00:06,  1.36it/s]\n 71%|███████▏  | 20/28 [00:14<00:05,  1.36it/s]\n 75%|███████▌  | 21/28 [00:15<00:05,  1.36it/s]\n 79%|███████▊  | 22/28 [00:16<00:04,  1.36it/s]\n 82%|████████▏ | 23/28 [00:16<00:03,  1.36it/s]\n 86%|████████▌ | 24/28 [00:17<00:02,  1.36it/s]\n 89%|████████▉ | 25/28 [00:18<00:02,  1.36it/s]\n 93%|█████████▎| 26/28 [00:18<00:01,  1.36it/s]\n 96%|█████████▋| 27/28 [00:19<00:00,  1.36it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.36it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.37it/s]\nTotal safe images: 3 out of 3",
  "metrics": {
    "predict_time": 23.357691134,
    "total_time": 28.200242
  },
  "output": [
    "https://replicate.delivery/xezq/Dm2PEjsZXUb5N5BHYAjBSeIsmWSesCKgpZVC0fB7HBxRtw5oA/out-0.jpg",
    "https://replicate.delivery/xezq/ReGEFaGV6JSwJ6Uegw4YOcFiefvxnmbAd0P7dGpdey6E1CnjC/out-1.jpg",
    "https://replicate.delivery/xezq/uuYbshnOuIppBBFzhO5ijQ1rdfEzJVNY8Lxu94AXn6SULcOKA/out-2.jpg"
  ],
  "started_at": "2025-03-27T22:39:12.823551Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-6hpdoiyh7moievvvbexmyq2q2uloybvgw26tho5ukkrgm65rkuyq",
    "get": "https://api.replicate.com/v1/predictions/yxj6dkatsnrma0cnv718ftdpjw",
    "cancel": "https://api.replicate.com/v1/predictions/yxj6dkatsnrma0cnv718ftdpjw/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

23.4 seconds

Tweak it Share Report

Loaded LoRAs in 0.56s
Using seed: 35743
Prompt: Two side-by-side shots of Josh and his brand:
Left: Sad Josh with “$300K profit”
Right: Happy Josh with “$4.3M profit”
Add a glowing arrow labeled “One Change”. Text:
“One Shift = $4M?”
[!] txt2img mode
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:19,  1.38it/s]
  7%|▋         | 2/28 [00:01<00:16,  1.55it/s]
 11%|█         | 3/28 [00:02<00:17,  1.46it/s]
 14%|█▍        | 4/28 [00:02<00:16,  1.42it/s]
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 29%|██▊       | 8/28 [00:05<00:14,  1.37it/s]
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 39%|███▉      | 11/28 [00:07<00:12,  1.37it/s]
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 68%|██████▊   | 19/28 [00:13<00:06,  1.36it/s]
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 82%|████████▏ | 23/28 [00:16<00:03,  1.36it/s]
 86%|████████▌ | 24/28 [00:17<00:02,  1.36it/s]
 89%|████████▉ | 25/28 [00:18<00:02,  1.36it/s]
 93%|█████████▎| 26/28 [00:18<00:01,  1.36it/s]
 96%|█████████▋| 27/28 [00:19<00:00,  1.36it/s]
100%|██████████| 28/28 [00:20<00:00,  1.36it/s]
100%|██████████| 28/28 [00:20<00:00,  1.37it/s]
Total safe images: 3 out of 3

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

0jngxdphp9rma0cnv75aqkwy9w

Status

Succeeded

Source

Web

Hardware

H100

Total duration

29.4s

Created

4 months ago

Input

model: dev
prompt: A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric "profit". Realistic photo.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 4
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric \"profit\". Realistic photo.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric \"profit\". Realistic photo.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric \"profit\". Realistic photo.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric \\"profit\\". Realistic photo.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T22:48:52.048456Z",
  "created_at": "2025-03-27T22:48:22.706000Z",
  "data_removed": false,
  "error": null,
  "id": "0jngxdphp9rma0cnv75aqkwy9w",
  "input": {
    "model": "dev",
    "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric \"profit\". Realistic photo.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=26916195876864\nDownloading weights\n2025-03-27T22:48:22Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpe4jan4iv/weights url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar\n2025-03-27T22:48:24Z | INFO  | [ Complete ] dest=/tmp/tmpe4jan4iv/weights size=\"172 MB\" total_elapsed=1.249s url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar\nDownloaded weights in 1.27s\nLoaded LoRAs in 1.87s\nUsing seed: 1198\nPrompt: A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric \"profit\". Realistic photo.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:25,  1.05it/s]\n  7%|▋         | 2/28 [00:01<00:21,  1.19it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.12it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.09it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.07it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.06it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.06it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.06it/s]\n 32%|███▏      | 9/28 [00:08<00:18,  1.05it/s]\n 36%|███▌      | 10/28 [00:09<00:17,  1.05it/s]\n 39%|███▉      | 11/28 [00:10<00:16,  1.05it/s]\n 43%|████▎     | 12/28 [00:11<00:15,  1.05it/s]\n 46%|████▋     | 13/28 [00:12<00:14,  1.05it/s]\n 50%|█████     | 14/28 [00:13<00:13,  1.05it/s]\n 54%|█████▎    | 15/28 [00:14<00:12,  1.05it/s]\n 57%|█████▋    | 16/28 [00:15<00:11,  1.04it/s]\n 61%|██████    | 17/28 [00:16<00:10,  1.04it/s]\n 64%|██████▍   | 18/28 [00:17<00:09,  1.04it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.04it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.04it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.04it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.04it/s]\n 82%|████████▏ | 23/28 [00:21<00:04,  1.04it/s]\n 86%|████████▌ | 24/28 [00:22<00:03,  1.04it/s]\n 89%|████████▉ | 25/28 [00:23<00:02,  1.04it/s]\n 93%|█████████▎| 26/28 [00:24<00:01,  1.04it/s]\n 96%|█████████▋| 27/28 [00:25<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.05it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 29.215102304,
    "total_time": 29.342456
  },
  "output": [
    "https://replicate.delivery/xezq/wC9u8eV59PVcIaQHpQQ9YDFEwpKdKg1Fsflbkf4i66koehzRB/out-0.jpg",
    "https://replicate.delivery/xezq/asXEjko3AeSxfEkjzyE4o7AgVM3pcnFpHnN3d5TWlHRUfw5oA/out-1.jpg",
    "https://replicate.delivery/xezq/sRcpyfEzRWxtEij65MSdHOcMEIv4ff3OO0dPwxBeD6yS9hzRB/out-2.jpg",
    "https://replicate.delivery/xezq/iy3HivTe4CUgRCVvrfBgEqEpuFXkiiTeVmfstjElNegh6DnjC/out-3.jpg"
  ],
  "started_at": "2025-03-27T22:48:22.833354Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-xyc3jmj6evizgap5lhzwgosqyu7t3tl73mrz4payahos6idxivyq",
    "get": "https://api.replicate.com/v1/predictions/0jngxdphp9rma0cnv75aqkwy9w",
    "cancel": "https://api.replicate.com/v1/predictions/0jngxdphp9rma0cnv75aqkwy9w/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

29.2 seconds

Tweak it Share Report

free=26916195876864
Downloading weights
2025-03-27T22:48:22Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpe4jan4iv/weights url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar
2025-03-27T22:48:24Z | INFO  | [ Complete ] dest=/tmp/tmpe4jan4iv/weights size="172 MB" total_elapsed=1.249s url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar
Downloaded weights in 1.27s
Loaded LoRAs in 1.87s
Using seed: 1198
Prompt: A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red graph going down with a metric "profit". Realistic photo.
[!] txt2img mode
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100%|██████████| 28/28 [00:26<00:00,  1.05it/s]
Total safe images: 4 out of 4

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

a6f0ve7691rm80cnv77rradn1r

Status

Succeeded

Source

Web

Hardware

H100

Total duration

27.0s

Created

4 months ago

Input

model: dev
prompt: Two side-by-side shots of Josh: Left: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin. Right: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 3
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Two side-by-side shots of Josh:\n\nLeft: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin.\n\nRight: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 3,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "Two side-by-side shots of Josh:\n\nLeft: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin.\n\nRight: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 3,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "Two side-by-side shots of Josh:\n\nLeft: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin.\n\nRight: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 3,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "Two side-by-side shots of Josh:\\n\\nLeft: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad \'before\' weight loss photo. Hunched, pale skin.\\n\\nRight: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good \'after\' weight loss photo. Good posture, clean skin.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 3,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T22:54:22.676344Z",
  "created_at": "2025-03-27T22:53:55.656000Z",
  "data_removed": false,
  "error": null,
  "id": "a6f0ve7691rm80cnv77rradn1r",
  "input": {
    "model": "dev",
    "prompt": "Two side-by-side shots of Josh:\n\nLeft: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin.\n\nRight: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 3,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=26533052776448\nDownloading weights\n2025-03-27T22:53:56Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpvzzk9c45/weights url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar\n2025-03-27T22:53:59Z | INFO  | [ Complete ] dest=/tmp/tmpvzzk9c45/weights size=\"172 MB\" total_elapsed=3.412s url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar\nDownloaded weights in 3.43s\nLoaded LoRAs in 3.99s\nUsing seed: 20765\nPrompt: Two side-by-side shots of Josh:\nLeft: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin.\nRight: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:19,  1.39it/s]\n  7%|▋         | 2/28 [00:01<00:16,  1.56it/s]\n 11%|█         | 3/28 [00:02<00:16,  1.47it/s]\n 14%|█▍        | 4/28 [00:02<00:16,  1.43it/s]\n 18%|█▊        | 5/28 [00:03<00:16,  1.41it/s]\n 21%|██▏       | 6/28 [00:04<00:15,  1.40it/s]\n 25%|██▌       | 7/28 [00:04<00:15,  1.39it/s]\n 29%|██▊       | 8/28 [00:05<00:14,  1.39it/s]\n 32%|███▏      | 9/28 [00:06<00:13,  1.39it/s]\n 36%|███▌      | 10/28 [00:07<00:13,  1.38it/s]\n 39%|███▉      | 11/28 [00:07<00:12,  1.38it/s]\n 43%|████▎     | 12/28 [00:08<00:11,  1.38it/s]\n 46%|████▋     | 13/28 [00:09<00:10,  1.38it/s]\n 50%|█████     | 14/28 [00:10<00:10,  1.38it/s]\n 54%|█████▎    | 15/28 [00:10<00:09,  1.38it/s]\n 57%|█████▋    | 16/28 [00:11<00:08,  1.38it/s]\n 61%|██████    | 17/28 [00:12<00:07,  1.38it/s]\n 64%|██████▍   | 18/28 [00:12<00:07,  1.38it/s]\n 68%|██████▊   | 19/28 [00:13<00:06,  1.38it/s]\n 71%|███████▏  | 20/28 [00:14<00:05,  1.38it/s]\n 75%|███████▌  | 21/28 [00:15<00:05,  1.38it/s]\n 79%|███████▊  | 22/28 [00:15<00:04,  1.38it/s]\n 82%|████████▏ | 23/28 [00:16<00:03,  1.38it/s]\n 86%|████████▌ | 24/28 [00:17<00:02,  1.38it/s]\n 89%|████████▉ | 25/28 [00:18<00:02,  1.38it/s]\n 93%|█████████▎| 26/28 [00:18<00:01,  1.38it/s]\n 96%|█████████▋| 27/28 [00:19<00:00,  1.38it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.38it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.39it/s]\nTotal safe images: 3 out of 3",
  "metrics": {
    "predict_time": 26.493697359,
    "total_time": 27.020344
  },
  "output": [
    "https://replicate.delivery/xezq/sgrQsqPt6iYjJZNKQcPEvzwF2VqMrvUbgYhDHCSyOvqHJOHF/out-0.jpg",
    "https://replicate.delivery/xezq/lH1O6fyRf5pMGkNtqbWeIHOF4wcCfhrH1bqeiwWwVW40jEnjC/out-1.jpg",
    "https://replicate.delivery/xezq/iiMGt38kVL7kIlKtbHzwjxJiah8Be6PDDG2S9efYQaA9Ix5oA/out-2.jpg"
  ],
  "started_at": "2025-03-27T22:53:56.182647Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-3zr4kewsrfjxfqd7ekyiwig5m65vfg4z52kna2opq3v6sq4mvdra",
    "get": "https://api.replicate.com/v1/predictions/a6f0ve7691rm80cnv77rradn1r",
    "cancel": "https://api.replicate.com/v1/predictions/a6f0ve7691rm80cnv77rradn1r/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

26.5 seconds

Tweak it Share Report

free=26533052776448
Downloading weights
2025-03-27T22:53:56Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpvzzk9c45/weights url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar
2025-03-27T22:53:59Z | INFO  | [ Complete ] dest=/tmp/tmpvzzk9c45/weights size="172 MB" total_elapsed=3.412s url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar
Downloaded weights in 3.43s
Loaded LoRAs in 3.99s
Using seed: 20765
Prompt: Two side-by-side shots of Josh:
Left: Sad Josh on plain wall background with giant red text label at bottom: “$300K profit”. The poor quality photo and bad fluorescent lighting looks like a bad 'before' weight loss photo. Hunched, pale skin.
Right: Happy Josh on plain wall background with giant green text label at bottom: “$4.3M profit”. The great quality photo and flattering natural lighting looks like a good 'after' weight loss photo. Good posture, clean skin.
[!] txt2img mode
  0%|          | 0/28 [00:00<?, ?it/s]
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100%|██████████| 28/28 [00:20<00:00,  1.38it/s]
100%|██████████| 28/28 [00:20<00:00,  1.39it/s]
Total safe images: 3 out of 3

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

118w24wx91rme0cnv79avw9apg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

21.8s

Created

4 months ago

Input

model: dev
prompt: A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 3
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror. ",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 3,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror. ",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 3,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror. ",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 3,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror. ",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 3,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T22:57:15.356407Z",
  "created_at": "2025-03-27T22:56:53.576000Z",
  "data_removed": false,
  "error": null,
  "id": "118w24wx91rme0cnv79avw9apg",
  "input": {
    "model": "dev",
    "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror. ",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 3,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.56s\nUsing seed: 9004\nPrompt: A pile of burning cash coming out of a Facebook Ads laptop while Josh watches in horror.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:19,  1.39it/s]\n  7%|▋         | 2/28 [00:01<00:16,  1.55it/s]\n 11%|█         | 3/28 [00:02<00:17,  1.46it/s]\n 14%|█▍        | 4/28 [00:02<00:16,  1.42it/s]\n 18%|█▊        | 5/28 [00:03<00:16,  1.40it/s]\n 21%|██▏       | 6/28 [00:04<00:15,  1.39it/s]\n 25%|██▌       | 7/28 [00:04<00:15,  1.38it/s]\n 29%|██▊       | 8/28 [00:05<00:14,  1.37it/s]\n 32%|███▏      | 9/28 [00:06<00:13,  1.37it/s]\n 36%|███▌      | 10/28 [00:07<00:13,  1.37it/s]\n 39%|███▉      | 11/28 [00:07<00:12,  1.37it/s]\n 43%|████▎     | 12/28 [00:08<00:11,  1.37it/s]\n 46%|████▋     | 13/28 [00:09<00:10,  1.36it/s]\n 50%|█████     | 14/28 [00:10<00:10,  1.36it/s]\n 54%|█████▎    | 15/28 [00:10<00:09,  1.36it/s]\n 57%|█████▋    | 16/28 [00:11<00:08,  1.36it/s]\n 61%|██████    | 17/28 [00:12<00:08,  1.36it/s]\n 64%|██████▍   | 18/28 [00:13<00:07,  1.36it/s]\n 68%|██████▊   | 19/28 [00:13<00:06,  1.36it/s]\n 71%|███████▏  | 20/28 [00:14<00:05,  1.36it/s]\n 75%|███████▌  | 21/28 [00:15<00:05,  1.36it/s]\n 79%|███████▊  | 22/28 [00:15<00:04,  1.36it/s]\n 82%|████████▏ | 23/28 [00:16<00:03,  1.36it/s]\n 86%|████████▌ | 24/28 [00:17<00:02,  1.36it/s]\n 89%|████████▉ | 25/28 [00:18<00:02,  1.36it/s]\n 93%|█████████▎| 26/28 [00:18<00:01,  1.36it/s]\n 96%|█████████▋| 27/28 [00:19<00:00,  1.36it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.36it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.37it/s]\nTotal safe images: 3 out of 3",
  "metrics": {
    "predict_time": 21.544788758,
    "total_time": 21.780407
  },
  "output": [
    "https://replicate.delivery/xezq/TeQpdfQuDPmwj0fL2USNgjiDGQnq966kUFa0bPiRRfFucizRB/out-0.jpg",
    "https://replicate.delivery/xezq/161s4Bz9nWICCNbnFFK0zMFyYrgcBAlFOGF5Ogb5wM2yJOHF/out-1.jpg",
    "https://replicate.delivery/xezq/bkn4JC7inXrbJ5N89vbOV9vM8M2j0Dq4fbUZw9JHfv7Ln4cUA/out-2.jpg"
  ],
  "started_at": "2025-03-27T22:56:53.811618Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-xpldnx7twkhsu733qmsuwvafjvdc2yi22vy4ffjix4aqnmuhvppq",
    "get": "https://api.replicate.com/v1/predictions/118w24wx91rme0cnv79avw9apg",
    "cancel": "https://api.replicate.com/v1/predictions/118w24wx91rme0cnv79avw9apg/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

21.6 seconds

Tweak it Share Report

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

ty48s3rftdrm80cnv7bsramdh8

Status

Succeeded

Source

Web

Hardware

H100

Total duration

28.8s

Created

4 months ago

Input

model: dev
prompt: A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text "sales". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 4
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text \"sales\". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text \"sales\". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text \"sales\". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text \\"sales\\". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T23:02:13.858494Z",
  "created_at": "2025-03-27T23:01:45.043000Z",
  "data_removed": false,
  "error": null,
  "id": "ty48s3rftdrm80cnv7bsramdh8",
  "input": {
    "model": "dev",
    "prompt": "A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text \"sales\". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.57s\nUsing seed: 21582\nPrompt: A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text \"sales\". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:25,  1.05it/s]\n  7%|▋         | 2/28 [00:01<00:21,  1.19it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.12it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.09it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.07it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.06it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.06it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.06it/s]\n 32%|███▏      | 9/28 [00:08<00:18,  1.05it/s]\n 36%|███▌      | 10/28 [00:09<00:17,  1.05it/s]\n 39%|███▉      | 11/28 [00:10<00:16,  1.05it/s]\n 43%|████▎     | 12/28 [00:11<00:15,  1.05it/s]\n 46%|████▋     | 13/28 [00:12<00:14,  1.05it/s]\n 50%|█████     | 14/28 [00:13<00:13,  1.05it/s]\n 54%|█████▎    | 15/28 [00:14<00:12,  1.04it/s]\n 57%|█████▋    | 16/28 [00:15<00:11,  1.04it/s]\n 61%|██████    | 17/28 [00:16<00:10,  1.04it/s]\n 64%|██████▍   | 18/28 [00:17<00:09,  1.04it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.04it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.04it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.04it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.04it/s]\n 82%|████████▏ | 23/28 [00:21<00:04,  1.04it/s]\n 86%|████████▌ | 24/28 [00:22<00:03,  1.04it/s]\n 89%|████████▉ | 25/28 [00:23<00:02,  1.04it/s]\n 93%|█████████▎| 26/28 [00:24<00:01,  1.04it/s]\n 96%|█████████▋| 27/28 [00:25<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.05it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 27.921837831,
    "total_time": 28.815494
  },
  "output": [
    "https://replicate.delivery/xezq/QzsZQb2Zpd7BMxN9TmCZew3yu03Q5ULHd5ECVIfL5Z41r4cUA/out-0.jpg",
    "https://replicate.delivery/xezq/Av8CFsXfNbXsVqUfeGV0Om7bKIICkKPBjkAwpzh2rWHrXx5oA/out-1.jpg",
    "https://replicate.delivery/xezq/zCuRnV0kqxLMIBSXiNJG2PsoRUYBkqlHtRu6ghJkVEf6VcOKA/out-2.jpg",
    "https://replicate.delivery/xezq/fR4hp6LPN0XYEaODN1N4SGwWeaXRnR2ljvwvJE1BJ5K1r4cUA/out-3.jpg"
  ],
  "started_at": "2025-03-27T23:01:45.936656Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-e57yglyzkaz2ixs662laxzk2h7hpyjjomdmmblt7h7woyvo2ejga",
    "get": "https://api.replicate.com/v1/predictions/ty48s3rftdrm80cnv7bsramdh8",
    "cancel": "https://api.replicate.com/v1/predictions/ty48s3rftdrm80cnv7bsramdh8/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

27.9 seconds

Tweak it Share Report

Loaded LoRAs in 0.57s
Using seed: 21582
Prompt: A sad, distraught Josh, hands on head, looking at his laptop. Behind him is a red glowing graph trending downwards with a metric text "sales". The y axis of the graph goes from $1m to $0 and the x axis goes from Feb to Sept. Realistic photo. The glow from graph casts side lighting on Josh.
[!] txt2img mode
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:25,  1.05it/s]
  7%|▋         | 2/28 [00:01<00:21,  1.19it/s]
 11%|█         | 3/28 [00:02<00:22,  1.12it/s]
 14%|█▍        | 4/28 [00:03<00:22,  1.09it/s]
 18%|█▊        | 5/28 [00:04<00:21,  1.07it/s]
 21%|██▏       | 6/28 [00:05<00:20,  1.06it/s]
 25%|██▌       | 7/28 [00:06<00:19,  1.06it/s]
 29%|██▊       | 8/28 [00:07<00:18,  1.06it/s]
 32%|███▏      | 9/28 [00:08<00:18,  1.05it/s]
 36%|███▌      | 10/28 [00:09<00:17,  1.05it/s]
 39%|███▉      | 11/28 [00:10<00:16,  1.05it/s]
 43%|████▎     | 12/28 [00:11<00:15,  1.05it/s]
 46%|████▋     | 13/28 [00:12<00:14,  1.05it/s]
 50%|█████     | 14/28 [00:13<00:13,  1.05it/s]
 54%|█████▎    | 15/28 [00:14<00:12,  1.04it/s]
 57%|█████▋    | 16/28 [00:15<00:11,  1.04it/s]
 61%|██████    | 17/28 [00:16<00:10,  1.04it/s]
 64%|██████▍   | 18/28 [00:17<00:09,  1.04it/s]
 68%|██████▊   | 19/28 [00:17<00:08,  1.04it/s]
 71%|███████▏  | 20/28 [00:18<00:07,  1.04it/s]
 75%|███████▌  | 21/28 [00:19<00:06,  1.04it/s]
 79%|███████▊  | 22/28 [00:20<00:05,  1.04it/s]
 82%|████████▏ | 23/28 [00:21<00:04,  1.04it/s]
 86%|████████▌ | 24/28 [00:22<00:03,  1.04it/s]
 89%|████████▉ | 25/28 [00:23<00:02,  1.04it/s]
 93%|█████████▎| 26/28 [00:24<00:01,  1.04it/s]
 96%|█████████▋| 27/28 [00:25<00:00,  1.04it/s]
100%|██████████| 28/28 [00:26<00:00,  1.04it/s]
100%|██████████| 28/28 [00:26<00:00,  1.05it/s]
Total safe images: 4 out of 4

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

tv0t1nx5j9rm80cnv7artwv38r

Status

Succeeded

Source

Web

Hardware

H100

Total duration

21.4s

Created

4 months ago

Input

model: dev
prompt: A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 3
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror. ",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 3,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror. ",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 3,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror. ",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 3,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror. ",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 3,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T23:00:33.747600Z",
  "created_at": "2025-03-27T23:00:12.306000Z",
  "data_removed": false,
  "error": null,
  "id": "tv0t1nx5j9rm80cnv7artwv38r",
  "input": {
    "model": "dev",
    "prompt": "A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror. ",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 3,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.57s\nUsing seed: 43429\nPrompt: A pile of burning cash coming out of a Facebook Ads laptop while a shocked Josh watches in horror.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:19,  1.39it/s]\n  7%|▋         | 2/28 [00:01<00:16,  1.58it/s]\n 11%|█         | 3/28 [00:02<00:16,  1.48it/s]\n 14%|█▍        | 4/28 [00:02<00:16,  1.44it/s]\n 18%|█▊        | 5/28 [00:03<00:16,  1.42it/s]\n 21%|██▏       | 6/28 [00:04<00:15,  1.41it/s]\n 25%|██▌       | 7/28 [00:04<00:15,  1.40it/s]\n 29%|██▊       | 8/28 [00:05<00:14,  1.40it/s]\n 32%|███▏      | 9/28 [00:06<00:13,  1.39it/s]\n 36%|███▌      | 10/28 [00:07<00:12,  1.39it/s]\n 39%|███▉      | 11/28 [00:07<00:12,  1.39it/s]\n 43%|████▎     | 12/28 [00:08<00:11,  1.39it/s]\n 46%|████▋     | 13/28 [00:09<00:10,  1.39it/s]\n 50%|█████     | 14/28 [00:09<00:10,  1.39it/s]\n 54%|█████▎    | 15/28 [00:10<00:09,  1.39it/s]\n 57%|█████▋    | 16/28 [00:11<00:08,  1.38it/s]\n 61%|██████    | 17/28 [00:12<00:07,  1.38it/s]\n 64%|██████▍   | 18/28 [00:12<00:07,  1.38it/s]\n 68%|██████▊   | 19/28 [00:13<00:06,  1.39it/s]\n 71%|███████▏  | 20/28 [00:14<00:05,  1.39it/s]\n 75%|███████▌  | 21/28 [00:15<00:05,  1.38it/s]\n 79%|███████▊  | 22/28 [00:15<00:04,  1.38it/s]\n 82%|████████▏ | 23/28 [00:16<00:03,  1.38it/s]\n 86%|████████▌ | 24/28 [00:17<00:02,  1.38it/s]\n 89%|████████▉ | 25/28 [00:17<00:02,  1.38it/s]\n 93%|█████████▎| 26/28 [00:18<00:01,  1.38it/s]\n 96%|█████████▋| 27/28 [00:19<00:00,  1.38it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.38it/s]\n100%|██████████| 28/28 [00:20<00:00,  1.39it/s]\nTotal safe images: 3 out of 3",
  "metrics": {
    "predict_time": 21.216387686,
    "total_time": 21.4416
  },
  "output": [
    "https://replicate.delivery/xezq/MWkLHMbxl55bLZeqm1Bf2RtdtejjOVMiNNhbTR3b3GSiUx5oA/out-0.jpg",
    "https://replicate.delivery/xezq/m7EM4WzTEC7QJxvNersZ0lnz1NWwoPsD20QQWzGb05lIVcOKA/out-1.jpg",
    "https://replicate.delivery/xezq/MZwgUqWk4w67IRnuHhH70A5TTgeQTPp14uzQVgdTGB4IVcOKA/out-2.jpg"
  ],
  "started_at": "2025-03-27T23:00:12.531213Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-akro4gyay6oq77pqbz62ecyenkhsacaayn6ionawizynlqy3w4ba",
    "get": "https://api.replicate.com/v1/predictions/tv0t1nx5j9rm80cnv7artwv38r",
    "cancel": "https://api.replicate.com/v1/predictions/tv0t1nx5j9rm80cnv7artwv38r/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

21.2 seconds

Tweak it Share Report

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

je8dwrb1cxrma0cnv7h9ck91yw

Status

Succeeded

Source

Web

Hardware

H100

Total duration

29.4s

Created

4 months ago

Input

model: dev
prompt: Split screen: Left: Stressed Josh at laptop, dark background, “$50k/yr” in red. Right: Relaxed Josh at laptop, light background, “$4M Profit” in green. Use a thick white arrow crossing from left to right. Text: “Before / After” (keep it subtle, tucked low).
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 4
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Split screen:\n\nLeft: Stressed Josh at laptop, dark background, “$50k/yr” in red.\n\nRight: Relaxed Josh at laptop, light background, “$4M Profit” in green.\nUse a thick white arrow crossing from left to right.\nText: “Before / After” (keep it subtle, tucked low).",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "Split screen:\n\nLeft: Stressed Josh at laptop, dark background, “$50k/yr” in red.\n\nRight: Relaxed Josh at laptop, light background, “$4M Profit” in green.\nUse a thick white arrow crossing from left to right.\nText: “Before / After” (keep it subtle, tucked low).",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "Split screen:\n\nLeft: Stressed Josh at laptop, dark background, “$50k/yr” in red.\n\nRight: Relaxed Josh at laptop, light background, “$4M Profit” in green.\nUse a thick white arrow crossing from left to right.\nText: “Before / After” (keep it subtle, tucked low).",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "Split screen:\\n\\nLeft: Stressed Josh at laptop, dark background, “$50k/yr” in red.\\n\\nRight: Relaxed Josh at laptop, light background, “$4M Profit” in green.\\nUse a thick white arrow crossing from left to right.\\nText: “Before / After” (keep it subtle, tucked low).",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T23:14:36.196744Z",
  "created_at": "2025-03-27T23:14:06.823000Z",
  "data_removed": false,
  "error": null,
  "id": "je8dwrb1cxrma0cnv7h9ck91yw",
  "input": {
    "model": "dev",
    "prompt": "Split screen:\n\nLeft: Stressed Josh at laptop, dark background, “$50k/yr” in red.\n\nRight: Relaxed Josh at laptop, light background, “$4M Profit” in green.\nUse a thick white arrow crossing from left to right.\nText: “Before / After” (keep it subtle, tucked low).",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.57s\nUsing seed: 57544\nPrompt: Split screen:\nLeft: Stressed Josh at laptop, dark background, “$50k/yr” in red.\nRight: Relaxed Josh at laptop, light background, “$4M Profit” in green.\nUse a thick white arrow crossing from left to right.\nText: “Before / After” (keep it subtle, tucked low).\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:25,  1.04it/s]\n  7%|▋         | 2/28 [00:01<00:22,  1.18it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.11it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.06it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.05it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.05it/s]\n 29%|██▊       | 8/28 [00:07<00:19,  1.05it/s]\n 32%|███▏      | 9/28 [00:08<00:18,  1.04it/s]\n 36%|███▌      | 10/28 [00:09<00:17,  1.04it/s]\n 39%|███▉      | 11/28 [00:10<00:16,  1.04it/s]\n 43%|████▎     | 12/28 [00:11<00:15,  1.04it/s]\n 46%|████▋     | 13/28 [00:12<00:14,  1.04it/s]\n 50%|█████     | 14/28 [00:13<00:13,  1.04it/s]\n 54%|█████▎    | 15/28 [00:14<00:12,  1.04it/s]\n 57%|█████▋    | 16/28 [00:15<00:11,  1.04it/s]\n 61%|██████    | 17/28 [00:16<00:10,  1.04it/s]\n 64%|██████▍   | 18/28 [00:17<00:09,  1.04it/s]\n 68%|██████▊   | 19/28 [00:18<00:08,  1.04it/s]\n 71%|███████▏  | 20/28 [00:19<00:07,  1.04it/s]\n 75%|███████▌  | 21/28 [00:20<00:06,  1.04it/s]\n 79%|███████▊  | 22/28 [00:21<00:05,  1.04it/s]\n 82%|████████▏ | 23/28 [00:21<00:04,  1.04it/s]\n 86%|████████▌ | 24/28 [00:22<00:03,  1.04it/s]\n 89%|████████▉ | 25/28 [00:23<00:02,  1.04it/s]\n 93%|█████████▎| 26/28 [00:24<00:01,  1.04it/s]\n 96%|█████████▋| 27/28 [00:25<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.04it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 28.127042975,
    "total_time": 29.373744
  },
  "output": [
    "https://replicate.delivery/xezq/aYBCLHfhDXzwaSLESH3u9pfPav4QXrW7E2GgTaCobvNc34cUA/out-0.jpg",
    "https://replicate.delivery/xezq/vmSVY0CtKvpGOxeEkaxufMyFNm7eQmCgBHvsEBUjMcM4ux5oA/out-1.jpg",
    "https://replicate.delivery/xezq/W3wdb0dMi5ooJJ0eY6jmjpXwnmy7TweLQRykItb670kc34cUA/out-2.jpg",
    "https://replicate.delivery/xezq/B5DBhlN1MVosPVAY6KWjWhuO5omQeRmj5GpgpIue2H7c34cUA/out-3.jpg"
  ],
  "started_at": "2025-03-27T23:14:08.069702Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-b67pk3n326h4sewnasihfsccp2hpq6xqd4dpd3ztydqblukozfsa",
    "get": "https://api.replicate.com/v1/predictions/je8dwrb1cxrma0cnv7h9ck91yw",
    "cancel": "https://api.replicate.com/v1/predictions/je8dwrb1cxrma0cnv7h9ck91yw/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

28.1 seconds

Tweak it Share Report

Loaded LoRAs in 0.57s
Using seed: 57544
Prompt: Split screen:
Left: Stressed Josh at laptop, dark background, “$50k/yr” in red.
Right: Relaxed Josh at laptop, light background, “$4M Profit” in green.
Use a thick white arrow crossing from left to right.
Text: “Before / After” (keep it subtle, tucked low).
[!] txt2img mode
  0%|          | 0/28 [00:00<?, ?it/s]
  4%|▎         | 1/28 [00:00<00:25,  1.04it/s]
  7%|▋         | 2/28 [00:01<00:22,  1.18it/s]
 11%|█         | 3/28 [00:02<00:22,  1.11it/s]
 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]
 18%|█▊        | 5/28 [00:04<00:21,  1.06it/s]
 21%|██▏       | 6/28 [00:05<00:20,  1.05it/s]
 25%|██▌       | 7/28 [00:06<00:19,  1.05it/s]
 29%|██▊       | 8/28 [00:07<00:19,  1.05it/s]
 32%|███▏      | 9/28 [00:08<00:18,  1.04it/s]
 36%|███▌      | 10/28 [00:09<00:17,  1.04it/s]
 39%|███▉      | 11/28 [00:10<00:16,  1.04it/s]
 43%|████▎     | 12/28 [00:11<00:15,  1.04it/s]
 46%|████▋     | 13/28 [00:12<00:14,  1.04it/s]
 50%|█████     | 14/28 [00:13<00:13,  1.04it/s]
 54%|█████▎    | 15/28 [00:14<00:12,  1.04it/s]
 57%|█████▋    | 16/28 [00:15<00:11,  1.04it/s]
 61%|██████    | 17/28 [00:16<00:10,  1.04it/s]
 64%|██████▍   | 18/28 [00:17<00:09,  1.04it/s]
 68%|██████▊   | 19/28 [00:18<00:08,  1.04it/s]
 71%|███████▏  | 20/28 [00:19<00:07,  1.04it/s]
 75%|███████▌  | 21/28 [00:20<00:06,  1.04it/s]
 79%|███████▊  | 22/28 [00:21<00:05,  1.04it/s]
 82%|████████▏ | 23/28 [00:21<00:04,  1.04it/s]
 86%|████████▌ | 24/28 [00:22<00:03,  1.04it/s]
 89%|████████▉ | 25/28 [00:23<00:02,  1.04it/s]
 93%|█████████▎| 26/28 [00:24<00:01,  1.04it/s]
 96%|█████████▋| 27/28 [00:25<00:00,  1.04it/s]
100%|██████████| 28/28 [00:26<00:00,  1.04it/s]
100%|██████████| 28/28 [00:26<00:00,  1.04it/s]
Total safe images: 4 out of 4

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

axsfmce70srm80cnv7ha2h6srg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

30.8s

Created

4 months ago

Input

model: dev
prompt: Side-by-side of Josh and a serious Jeff Bezos (use a public press photo). Between them is a glowing Shopify store icon. Text: “Bezos Knows” in clean serif font (Open Sans Bold). Use blue + yellow (Amazon colors) for contrast.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 4
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).\nBetween them is a glowing Shopify store icon.\nText: “Bezos Knows” in clean serif font (Open Sans Bold).\nUse blue + yellow (Amazon colors) for contrast.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).\nBetween them is a glowing Shopify store icon.\nText: “Bezos Knows” in clean serif font (Open Sans Bold).\nUse blue + yellow (Amazon colors) for contrast.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).\nBetween them is a glowing Shopify store icon.\nText: “Bezos Knows” in clean serif font (Open Sans Bold).\nUse blue + yellow (Amazon colors) for contrast.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).\\nBetween them is a glowing Shopify store icon.\\nText: “Bezos Knows” in clean serif font (Open Sans Bold).\\nUse blue + yellow (Amazon colors) for contrast.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-27T23:15:03.583698Z",
  "created_at": "2025-03-27T23:14:32.838000Z",
  "data_removed": false,
  "error": null,
  "id": "axsfmce70srm80cnv7ha2h6srg",
  "input": {
    "model": "dev",
    "prompt": "Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).\nBetween them is a glowing Shopify store icon.\nText: “Bezos Knows” in clean serif font (Open Sans Bold).\nUse blue + yellow (Amazon colors) for contrast.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Loaded LoRAs in 0.58s\nUsing seed: 5435\nPrompt: Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).\nBetween them is a glowing Shopify store icon.\nText: “Bezos Knows” in clean serif font (Open Sans Bold).\nUse blue + yellow (Amazon colors) for contrast.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:25,  1.05it/s]\n  7%|▋         | 2/28 [00:01<00:21,  1.18it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.11it/s]\n 14%|█▍        | 4/28 [00:03<00:22,  1.08it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.07it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.06it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.05it/s]\n 29%|██▊       | 8/28 [00:07<00:19,  1.05it/s]\n 32%|███▏      | 9/28 [00:08<00:18,  1.05it/s]\n 36%|███▌      | 10/28 [00:09<00:17,  1.05it/s]\n 39%|███▉      | 11/28 [00:10<00:16,  1.04it/s]\n 43%|████▎     | 12/28 [00:11<00:15,  1.04it/s]\n 46%|████▋     | 13/28 [00:12<00:14,  1.04it/s]\n 50%|█████     | 14/28 [00:13<00:13,  1.04it/s]\n 54%|█████▎    | 15/28 [00:14<00:12,  1.04it/s]\n 57%|█████▋    | 16/28 [00:15<00:11,  1.04it/s]\n 61%|██████    | 17/28 [00:16<00:10,  1.04it/s]\n 64%|██████▍   | 18/28 [00:17<00:09,  1.04it/s]\n 68%|██████▊   | 19/28 [00:18<00:08,  1.04it/s]\n 71%|███████▏  | 20/28 [00:19<00:07,  1.04it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.04it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.04it/s]\n 82%|████████▏ | 23/28 [00:21<00:04,  1.04it/s]\n 86%|████████▌ | 24/28 [00:22<00:03,  1.04it/s]\n 89%|████████▉ | 25/28 [00:23<00:02,  1.04it/s]\n 93%|█████████▎| 26/28 [00:24<00:01,  1.04it/s]\n 96%|█████████▋| 27/28 [00:25<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.04it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.05it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 28.168587285,
    "total_time": 30.745698
  },
  "output": [
    "https://replicate.delivery/xezq/87DCG54KKM7qIh0iVW2gbaqxb0N1P0t7bMJfcdzXeVw334cUA/out-0.jpg",
    "https://replicate.delivery/xezq/yeVLt38icbVFe074lo06ZJY2f61Ef5Im2ZEH3u6BlUf6eNOHF/out-1.jpg",
    "https://replicate.delivery/xezq/454UPe9njWTlM66uZlwEpkweBRMT31XDC5rvtdJcZTJ334cUA/out-2.jpg",
    "https://replicate.delivery/xezq/6b2MTfg856TVLypABCwKDri18egXFLmfG1BfP21kXT4dfGnjC/out-3.jpg"
  ],
  "started_at": "2025-03-27T23:14:35.415111Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-rioekd2p2r65reqhq2yg2cqhconynzpyet5htmneoobqk7euuesq",
    "get": "https://api.replicate.com/v1/predictions/axsfmce70srm80cnv7ha2h6srg",
    "cancel": "https://api.replicate.com/v1/predictions/axsfmce70srm80cnv7ha2h6srg/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

28.2 seconds

Tweak it Share Report

Loaded LoRAs in 0.58s
Using seed: 5435
Prompt: Side-by-side of Josh and a serious Jeff Bezos (use a public press photo).
Between them is a glowing Shopify store icon.
Text: “Bezos Knows” in clean serif font (Open Sans Bold).
Use blue + yellow (Amazon colors) for contrast.
[!] txt2img mode
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100%|██████████| 28/28 [00:26<00:00,  1.05it/s]
Total safe images: 4 out of 4

Prediction

digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51

Model

digital-darts/josh-generator:f3bbaa54

tax9wbgfanrme0cnv88rnn22jr

Status

Succeeded

Source

Web

Hardware

H100

Total duration

33.6s

Created

4 months ago

Input

model: dev
prompt: sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says "ROAS" with a big red cross through it. Boken dof so only Josh and the sign in focus.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 4
aspect_ratio: 16:9
output_format: jpg
guidance_scale: 3
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says \"ROAS\" with a big red cross through it. Boken dof so only Josh and the sign in focus.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "16:9",
  "output_format": "jpg",
  "guidance_scale": 3,
  "output_quality": 80,
  "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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
  {
    input: {
      model: "dev",
      prompt: "sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says \"ROAS\" with a big red cross through it. Boken dof so only Josh and the sign in focus.",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 4,
      aspect_ratio: "16:9",
      output_format: "jpg",
      guidance_scale: 3,
      output_quality: 80,
      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 digital-darts/josh-generator using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    input={
        "model": "dev",
        "prompt": "sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says \"ROAS\" with a big red cross through it. Boken dof so only Josh and the sign in focus.",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 4,
        "aspect_ratio": "16:9",
        "output_format": "jpg",
        "guidance_scale": 3,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# 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.

Run digital-darts/josh-generator 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": "digital-darts/josh-generator:f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51",
    "input": {
      "model": "dev",
      "prompt": "sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says \\"ROAS\\" with a big red cross through it. Boken dof so only Josh and the sign in focus.",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 4,
      "aspect_ratio": "16:9",
      "output_format": "jpg",
      "guidance_scale": 3,
      "output_quality": 80,
      "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": "2025-03-28T00:05:39.629373Z",
  "created_at": "2025-03-28T00:05:06.005000Z",
  "data_removed": false,
  "error": null,
  "id": "tax9wbgfanrme0cnv88rnn22jr",
  "input": {
    "model": "dev",
    "prompt": "sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says \"ROAS\" with a big red cross through it. Boken dof so only Josh and the sign in focus.",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 4,
    "aspect_ratio": "16:9",
    "output_format": "jpg",
    "guidance_scale": 3,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "free=26529843601408\nDownloading weights\n2025-03-28T00:05:06Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp2j7x8yh3/weights url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar\n2025-03-28T00:05:11Z | INFO  | [ Complete ] dest=/tmp/tmp2j7x8yh3/weights size=\"172 MB\" total_elapsed=5.773s url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar\nDownloaded weights in 5.79s\nLoaded LoRAs in 6.38s\nUsing seed: 15848\nPrompt: sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says \"ROAS\" with a big red cross through it. Boken dof so only Josh and the sign in focus.\n[!] txt2img mode\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:00<00:25,  1.06it/s]\n  7%|▋         | 2/28 [00:01<00:21,  1.20it/s]\n 11%|█         | 3/28 [00:02<00:22,  1.13it/s]\n 14%|█▍        | 4/28 [00:03<00:21,  1.09it/s]\n 18%|█▊        | 5/28 [00:04<00:21,  1.08it/s]\n 21%|██▏       | 6/28 [00:05<00:20,  1.07it/s]\n 25%|██▌       | 7/28 [00:06<00:19,  1.06it/s]\n 29%|██▊       | 8/28 [00:07<00:18,  1.06it/s]\n 32%|███▏      | 9/28 [00:08<00:17,  1.06it/s]\n 36%|███▌      | 10/28 [00:09<00:17,  1.06it/s]\n 39%|███▉      | 11/28 [00:10<00:16,  1.06it/s]\n 43%|████▎     | 12/28 [00:11<00:15,  1.05it/s]\n 46%|████▋     | 13/28 [00:12<00:14,  1.05it/s]\n 50%|█████     | 14/28 [00:13<00:13,  1.05it/s]\n 54%|█████▎    | 15/28 [00:14<00:12,  1.05it/s]\n 57%|█████▋    | 16/28 [00:15<00:11,  1.05it/s]\n 61%|██████    | 17/28 [00:15<00:10,  1.05it/s]\n 64%|██████▍   | 18/28 [00:16<00:09,  1.05it/s]\n 68%|██████▊   | 19/28 [00:17<00:08,  1.05it/s]\n 71%|███████▏  | 20/28 [00:18<00:07,  1.05it/s]\n 75%|███████▌  | 21/28 [00:19<00:06,  1.05it/s]\n 79%|███████▊  | 22/28 [00:20<00:05,  1.05it/s]\n 82%|████████▏ | 23/28 [00:21<00:04,  1.05it/s]\n 86%|████████▌ | 24/28 [00:22<00:03,  1.05it/s]\n 89%|████████▉ | 25/28 [00:23<00:02,  1.05it/s]\n 93%|█████████▎| 26/28 [00:24<00:01,  1.05it/s]\n 96%|█████████▋| 27/28 [00:25<00:00,  1.05it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.05it/s]\n100%|██████████| 28/28 [00:26<00:00,  1.06it/s]\nTotal safe images: 4 out of 4",
  "metrics": {
    "predict_time": 33.555430148,
    "total_time": 33.624373
  },
  "output": [
    "https://replicate.delivery/xezq/wVFf7634XlQYZSR8Ka1FaeMaroAG88pJ8MdkY4AFVH7Tn5cUA/out-0.jpg",
    "https://replicate.delivery/xezq/21DWvZPZYmJbNNPsMEZJQuy4jXKZb6aa6jxjCqe5eAqTn5cUA/out-1.jpg",
    "https://replicate.delivery/xezq/3XosySNjkPLoOlEjWWlfRkxoqNZBOKBYMx9OFgBF5fxTn5cUA/out-2.jpg",
    "https://replicate.delivery/xezq/HkQUCKvxcsZnHtVZMDA8j5acMKLHBCjSARTysHe9TZ3pzcOKA/out-3.jpg"
  ],
  "started_at": "2025-03-28T00:05:06.073943Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-5zx7gxx5dzfrxspb5c5rhpypdbnvigrsz3brlpsrccqw5gg4jmxa",
    "get": "https://api.replicate.com/v1/predictions/tax9wbgfanrme0cnv88rnn22jr",
    "cancel": "https://api.replicate.com/v1/predictions/tax9wbgfanrme0cnv88rnn22jr/cancel"
  },
  "version": "f3bbaa54dbed0f89f5ea914bd095235d473bba93f7ba9ab255afad9a02758e51"
}

Generated in

33.6 seconds

Tweak it Share Report

free=26529843601408
Downloading weights
2025-03-28T00:05:06Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp2j7x8yh3/weights url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar
2025-03-28T00:05:11Z | INFO  | [ Complete ] dest=/tmp/tmp2j7x8yh3/weights size="172 MB" total_elapsed=5.773s url=https://replicate.delivery/xezq/pGAEaxWw2hYdARsom0tsG0DZa4eQAYPJTEdgtw6emtw8RtcUA/trained_model.tar
Downloaded weights in 5.79s
Loaded LoRAs in 6.38s
Using seed: 15848
Prompt: sad and poor Josh standing in front of homeless tents in the city, holding up a sign that says "ROAS" with a big red cross through it. Boken dof so only Josh and the sign in focus.
[!] txt2img mode
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 79%|███████▊  | 22/28 [00:20<00:05,  1.05it/s]
 82%|████████▏ | 23/28 [00:21<00:04,  1.05it/s]
 86%|████████▌ | 24/28 [00:22<00:03,  1.05it/s]
 89%|████████▉ | 25/28 [00:23<00:02,  1.05it/s]
 93%|█████████▎| 26/28 [00:24<00:01,  1.05it/s]
 96%|█████████▋| 27/28 [00:25<00:00,  1.05it/s]
100%|██████████| 28/28 [00:26<00:00,  1.05it/s]
100%|██████████| 28/28 [00:26<00:00,  1.06it/s]
Total safe images: 4 out of 4

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digital-darts / josh-generator

Prediction

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Logs (yxj6dkatsnrma0cnv718ftdpjw)

Logs (0jngxdphp9rma0cnv75aqkwy9w)

Logs (a6f0ve7691rm80cnv77rradn1r)

Logs (118w24wx91rme0cnv79avw9apg)

Logs (ty48s3rftdrm80cnv7bsramdh8)

Logs (tv0t1nx5j9rm80cnv7artwv38r)

Logs (je8dwrb1cxrma0cnv7h9ck91yw)

Logs (axsfmce70srm80cnv7ha2h6srg)

Logs (tax9wbgfanrme0cnv88rnn22jr)