model: dev
prompt: A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK
lora_scale: 1
num_outputs: 2
aspect_ratio: 3:2
output_format: jpg
guidance_scale: 3.5
output_quality: 90
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 28

{
  "model": "dev",
  "prompt": "A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK",
  "lora_scale": 1,
  "num_outputs": 2,
  "aspect_ratio": "3:2",
  "output_format": "jpg",
  "guidance_scale": 3.5,
  "output_quality": 90,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run digitalismanug/daniel-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "digitalismanug/daniel-lora:e9c56790868217db04d0c68c14e8824b72f45779719aec8d1ec4447cdf3e5070",
  {
    input: {
      model: "dev",
      prompt: "A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK",
      lora_scale: 1,
      num_outputs: 2,
      aspect_ratio: "3:2",
      output_format: "jpg",
      guidance_scale: 3.5,
      output_quality: 90,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 28
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run digitalismanug/daniel-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "digitalismanug/daniel-lora:e9c56790868217db04d0c68c14e8824b72f45779719aec8d1ec4447cdf3e5070",
    input={
        "model": "dev",
        "prompt": "A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK",
        "lora_scale": 1,
        "num_outputs": 2,
        "aspect_ratio": "3:2",
        "output_format": "jpg",
        "guidance_scale": 3.5,
        "output_quality": 90,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 28
    }
)

# To access the file URL:
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 digitalismanug/daniel-lora 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": "digitalismanug/daniel-lora:e9c56790868217db04d0c68c14e8824b72f45779719aec8d1ec4447cdf3e5070",
    "input": {
      "model": "dev",
      "prompt": "A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK",
      "lora_scale": 1,
      "num_outputs": 2,
      "aspect_ratio": "3:2",
      "output_format": "jpg",
      "guidance_scale": 3.5,
      "output_quality": 90,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 28
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-09-27T22:13:11.457934Z",
  "created_at": "2024-09-27T22:11:22.162000Z",
  "data_removed": false,
  "error": null,
  "id": "gn9ds4f3p9rj20cj6p4sd2f9nc",
  "input": {
    "model": "dev",
    "prompt": "A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK",
    "lora_scale": 1,
    "num_outputs": 2,
    "aspect_ratio": "3:2",
    "output_format": "jpg",
    "guidance_scale": 3.5,
    "output_quality": 90,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 28
  },
  "logs": "Using seed: 60100\nPrompt: A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.66s\n  0%|          | 0/28 [00:00<?, ?it/s]\n  4%|▎         | 1/28 [00:01<00:33,  1.23s/it]\n  7%|▋         | 2/28 [00:02<00:28,  1.09s/it]\n 11%|█         | 3/28 [00:03<00:28,  1.15s/it]\n 14%|█▍        | 4/28 [00:04<00:28,  1.19s/it]\n 18%|█▊        | 5/28 [00:05<00:27,  1.20s/it]\n 21%|██▏       | 6/28 [00:07<00:26,  1.21s/it]\n 25%|██▌       | 7/28 [00:08<00:25,  1.22s/it]\n 29%|██▊       | 8/28 [00:09<00:24,  1.22s/it]\n 32%|███▏      | 9/28 [00:10<00:23,  1.23s/it]\n 36%|███▌      | 10/28 [00:12<00:22,  1.23s/it]\n 39%|███▉      | 11/28 [00:13<00:20,  1.23s/it]\n 43%|████▎     | 12/28 [00:14<00:19,  1.23s/it]\n 46%|████▋     | 13/28 [00:15<00:18,  1.23s/it]\n 50%|█████     | 14/28 [00:17<00:17,  1.23s/it]\n 54%|█████▎    | 15/28 [00:18<00:16,  1.23s/it]\n 57%|█████▋    | 16/28 [00:19<00:14,  1.23s/it]\n 61%|██████    | 17/28 [00:20<00:13,  1.23s/it]\n 64%|██████▍   | 18/28 [00:21<00:12,  1.23s/it]\n 68%|██████▊   | 19/28 [00:23<00:11,  1.23s/it]\n 71%|███████▏  | 20/28 [00:24<00:09,  1.23s/it]\n 75%|███████▌  | 21/28 [00:25<00:08,  1.23s/it]\n 79%|███████▊  | 22/28 [00:26<00:07,  1.23s/it]\n 82%|████████▏ | 23/28 [00:28<00:06,  1.24s/it]\n 86%|████████▌ | 24/28 [00:29<00:04,  1.24s/it]\n 89%|████████▉ | 25/28 [00:30<00:03,  1.24s/it]\n 93%|█████████▎| 26/28 [00:31<00:02,  1.24s/it]\n 96%|█████████▋| 27/28 [00:33<00:01,  1.24s/it]\n100%|██████████| 28/28 [00:34<00:00,  1.24s/it]\n100%|██████████| 28/28 [00:34<00:00,  1.23s/it]",
  "metrics": {
    "predict_time": 36.600154037,
    "total_time": 109.295934
  },
  "output": [
    "https://replicate.delivery/yhqm/LOXewmmLkdXNXKWrJIUJQ1Dkf7L9ABGPsmsee0eYCeZk9fmwJA/out-0.jpg",
    "https://replicate.delivery/yhqm/b0SRqt2mBfyzaKLZfW0TfvivCWcJDPmaCpPqLGtmqNIvf3EOB/out-1.jpg"
  ],
  "started_at": "2024-09-27T22:12:34.857780Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/gn9ds4f3p9rj20cj6p4sd2f9nc",
    "cancel": "https://api.replicate.com/v1/predictions/gn9ds4f3p9rj20cj6p4sd2f9nc/cancel"
  },
  "version": "e9c56790868217db04d0c68c14e8824b72f45779719aec8d1ec4447cdf3e5070"
}

Generated in

36.6 seconds

Tweak it Iterate in playground ShareReport

Using seed: 60100
Prompt: A candid shot of Daniel sitting at a trendy urban café, wearing a navy blazer over a white t-shirt. He’s sipping coffee while looking thoughtfully at his laptop screen. Sunlight filters through the window, casting soft shadows. Behind him, there are other people working or chatting, and the café has exposed brick walls and modern decor. A small notebook and smartphone lie on the table beside him. TOK
[!] txt2img mode
Using dev model
Loaded LoRAs in 0.66s
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