monpu7 / 10liomess

model: dev
width: 1440
height: 810
prompt: 10liomess, depicting Messi standing confidently with the Eiffel Tower directly behind him at night in a distinctly French ambiance. The Eiffel Tower is illuminated and captured in ultra-high definition, showcasing every structural detail in crisp, sharp focus without any blur or softening effects. The iconic lattice design of the tower is clear and vivid, glowing warmly against the Parisian night sky. Messi is dressed in the official Football Club Barcelona outfit. His expression reflects admiration for the Parisian surroundings, with the clarity of the Eiffel Tower enhancing the depth and allure of the moment. The entire image is focused, capturing each detail from Messi's composed stance to the HD brilliance of the illuminated Eiffel Tower.
go_fast
lora_scale: 1
megapixels: 1
num_outputs: 1
aspect_ratio: 9:16
output_format: png
guidance_scale: 3.5
output_quality: 80
prompt_strength: 0.8
extra_lora_scale: 1
num_inference_steps: 30

{
  "model": "dev",
  "width": 1440,
  "height": 810,
  "prompt": "10liomess, depicting Messi standing confidently with the Eiffel Tower directly behind him at night in a distinctly French ambiance. The Eiffel Tower is illuminated and captured in ultra-high definition, showcasing every structural detail in crisp, sharp focus without any blur or softening effects. The iconic lattice design of the tower is clear and vivid, glowing warmly against the Parisian night sky.\n\nMessi is dressed in the official Football Club Barcelona outfit. His expression reflects admiration for the Parisian surroundings, with the clarity of the Eiffel Tower enhancing the depth and allure of the moment. The entire image is focused, capturing each detail from Messi's composed stance to the HD brilliance of the illuminated Eiffel Tower.\n",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "9:16",
  "output_format": "png",
  "guidance_scale": 3.5,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 30
}

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 monpu7/10liomess using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "monpu7/10liomess:1c692de5505b642d820aed4d2631d70d10eb28d14f8982dcf942d976605701d6",
  {
    input: {
      model: "dev",
      width: 1440,
      height: 810,
      prompt: "10liomess, depicting Messi standing confidently with the Eiffel Tower directly behind him at night in a distinctly French ambiance. The Eiffel Tower is illuminated and captured in ultra-high definition, showcasing every structural detail in crisp, sharp focus without any blur or softening effects. The iconic lattice design of the tower is clear and vivid, glowing warmly against the Parisian night sky.\n\nMessi is dressed in the official Football Club Barcelona outfit. His expression reflects admiration for the Parisian surroundings, with the clarity of the Eiffel Tower enhancing the depth and allure of the moment. The entire image is focused, capturing each detail from Messi's composed stance to the HD brilliance of the illuminated Eiffel Tower.\n",
      go_fast: false,
      lora_scale: 1,
      megapixels: "1",
      num_outputs: 1,
      aspect_ratio: "9:16",
      output_format: "png",
      guidance_scale: 3.5,
      output_quality: 80,
      prompt_strength: 0.8,
      extra_lora_scale: 1,
      num_inference_steps: 30
    }
  }
);

// 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 monpu7/10liomess using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "monpu7/10liomess:1c692de5505b642d820aed4d2631d70d10eb28d14f8982dcf942d976605701d6",
    input={
        "model": "dev",
        "width": 1440,
        "height": 810,
        "prompt": "10liomess, depicting Messi standing confidently with the Eiffel Tower directly behind him at night in a distinctly French ambiance. The Eiffel Tower is illuminated and captured in ultra-high definition, showcasing every structural detail in crisp, sharp focus without any blur or softening effects. The iconic lattice design of the tower is clear and vivid, glowing warmly against the Parisian night sky.\n\nMessi is dressed in the official Football Club Barcelona outfit. His expression reflects admiration for the Parisian surroundings, with the clarity of the Eiffel Tower enhancing the depth and allure of the moment. The entire image is focused, capturing each detail from Messi's composed stance to the HD brilliance of the illuminated Eiffel Tower.\n",
        "go_fast": False,
        "lora_scale": 1,
        "megapixels": "1",
        "num_outputs": 1,
        "aspect_ratio": "9:16",
        "output_format": "png",
        "guidance_scale": 3.5,
        "output_quality": 80,
        "prompt_strength": 0.8,
        "extra_lora_scale": 1,
        "num_inference_steps": 30
    }
)
print(output)

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

Run monpu7/10liomess 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": "monpu7/10liomess:1c692de5505b642d820aed4d2631d70d10eb28d14f8982dcf942d976605701d6",
    "input": {
      "model": "dev",
      "width": 1440,
      "height": 810,
      "prompt": "10liomess, depicting Messi standing confidently with the Eiffel Tower directly behind him at night in a distinctly French ambiance. The Eiffel Tower is illuminated and captured in ultra-high definition, showcasing every structural detail in crisp, sharp focus without any blur or softening effects. The iconic lattice design of the tower is clear and vivid, glowing warmly against the Parisian night sky.\\n\\nMessi is dressed in the official Football Club Barcelona outfit. His expression reflects admiration for the Parisian surroundings, with the clarity of the Eiffel Tower enhancing the depth and allure of the moment. The entire image is focused, capturing each detail from Messi\'s composed stance to the HD brilliance of the illuminated Eiffel Tower.\\n",
      "go_fast": false,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "9:16",
      "output_format": "png",
      "guidance_scale": 3.5,
      "output_quality": 80,
      "prompt_strength": 0.8,
      "extra_lora_scale": 1,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2025-01-07T20:59:48.853769Z",
  "created_at": "2025-01-07T20:59:38.751000Z",
  "data_removed": false,
  "error": null,
  "id": "f993qrf1fxrme0cm8a8a18wtj0",
  "input": {
    "model": "dev",
    "width": 1440,
    "height": 810,
    "prompt": "10liomess, depicting Messi standing confidently with the Eiffel Tower directly behind him at night in a distinctly French ambiance. The Eiffel Tower is illuminated and captured in ultra-high definition, showcasing every structural detail in crisp, sharp focus without any blur or softening effects. The iconic lattice design of the tower is clear and vivid, glowing warmly against the Parisian night sky.\n\nMessi is dressed in the official Football Club Barcelona outfit. His expression reflects admiration for the Parisian surroundings, with the clarity of the Eiffel Tower enhancing the depth and allure of the moment. The entire image is focused, capturing each detail from Messi's composed stance to the HD brilliance of the illuminated Eiffel Tower.\n",
    "go_fast": false,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "9:16",
    "output_format": "png",
    "guidance_scale": 3.5,
    "output_quality": 80,
    "prompt_strength": 0.8,
    "extra_lora_scale": 1,
    "num_inference_steps": 30
  },
  "logs": "2025-01-07 20:59:38.902 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 20:59:38.902 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2758.09it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2718.03it/s]\n2025-01-07 20:59:39.014 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29147873083392\nDownloading weights\n2025-01-07T20:59:39Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp1vhxdhhu/weights url=https://replicate.delivery/xezq/pmJHlSytDjqmKBfpKrWi3MKe8Jl1Em0qZe0okX9jJVY3ToFoA/trained_model.tar\n2025-01-07T20:59:42Z | INFO  | [ Complete ] dest=/tmp/tmp1vhxdhhu/weights size=\"172 MB\" total_elapsed=3.016s url=https://replicate.delivery/xezq/pmJHlSytDjqmKBfpKrWi3MKe8Jl1Em0qZe0okX9jJVY3ToFoA/trained_model.tar\nDownloaded weights in 3.04s\n2025-01-07 20:59:42.056 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/b648ee29c68e4a5b\n2025-01-07 20:59:42.126 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-07 20:59:42.126 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 20:59:42.127 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2762.78it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2722.13it/s]\n2025-01-07 20:59:42.239 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 30983\n0it [00:00, ?it/s]\n1it [00:00,  8.45it/s]\n2it [00:00,  5.91it/s]\n3it [00:00,  5.38it/s]\n4it [00:00,  5.17it/s]\n5it [00:00,  5.03it/s]\n6it [00:01,  4.94it/s]\n7it [00:01,  4.91it/s]\n8it [00:01,  4.89it/s]\n9it [00:01,  4.88it/s]\n10it [00:01,  4.86it/s]\n11it [00:02,  4.82it/s]\n12it [00:02,  4.83it/s]\n13it [00:02,  4.83it/s]\n14it [00:02,  4.84it/s]\n15it [00:03,  4.84it/s]\n16it [00:03,  4.83it/s]\n17it [00:03,  4.83it/s]\n18it [00:03,  4.83it/s]\n19it [00:03,  4.82it/s]\n20it [00:04,  4.82it/s]\n21it [00:04,  4.82it/s]\n22it [00:04,  4.81it/s]\n23it [00:04,  4.82it/s]\n24it [00:04,  4.82it/s]\n25it [00:05,  4.83it/s]\n26it [00:05,  4.82it/s]\n27it [00:05,  4.83it/s]\n28it [00:05,  4.83it/s]\n29it [00:05,  4.83it/s]\n30it [00:06,  4.83it/s]\n30it [00:06,  4.90it/s]\nTotal safe images: 1 out of 1",
  "metrics": {
    "predict_time": 9.950572998,
    "total_time": 10.102769
  },
  "output": [
    "https://replicate.delivery/xezq/iJewVMAJ5YRsMq2IVJCEm8PfmRbB5EJ6eGcH8tQSSKTJeRLQB/out-0.png"
  ],
  "started_at": "2025-01-07T20:59:38.903196Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bcwr-qc2mlu7itjw6zr6tfdp6hl7p7wpqevymfxgs6fonc2rrngshqoxa",
    "get": "https://api.replicate.com/v1/predictions/f993qrf1fxrme0cm8a8a18wtj0",
    "cancel": "https://api.replicate.com/v1/predictions/f993qrf1fxrme0cm8a8a18wtj0/cancel"
  },
  "version": "1c692de5505b642d820aed4d2631d70d10eb28d14f8982dcf942d976605701d6"
}

Generated in

10.0 seconds

Tweak it ShareReport

2025-01-07 20:59:38.902 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 20:59:38.902 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2758.09it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2718.03it/s]
2025-01-07 20:59:39.014 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s
free=29147873083392
Downloading weights
2025-01-07T20:59:39Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmp1vhxdhhu/weights url=https://replicate.delivery/xezq/pmJHlSytDjqmKBfpKrWi3MKe8Jl1Em0qZe0okX9jJVY3ToFoA/trained_model.tar
2025-01-07T20:59:42Z | INFO  | [ Complete ] dest=/tmp/tmp1vhxdhhu/weights size="172 MB" total_elapsed=3.016s url=https://replicate.delivery/xezq/pmJHlSytDjqmKBfpKrWi3MKe8Jl1Em0qZe0okX9jJVY3ToFoA/trained_model.tar
Downloaded weights in 3.04s
2025-01-07 20:59:42.056 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/b648ee29c68e4a5b
2025-01-07 20:59:42.126 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded
2025-01-07 20:59:42.126 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys
2025-01-07 20:59:42.127 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted
Applying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]
Applying LoRA:  91%|█████████ | 277/304 [00:00<00:00, 2762.78it/s]
Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2722.13it/s]
2025-01-07 20:59:42.239 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s
Using seed: 30983
0it [00:00, ?it/s]
1it [00:00,  8.45it/s]
2it [00:00,  5.91it/s]
3it [00:00,  5.38it/s]
4it [00:00,  5.17it/s]
5it [00:00,  5.03it/s]
6it [00:01,  4.94it/s]
7it [00:01,  4.91it/s]
8it [00:01,  4.89it/s]
9it [00:01,  4.88it/s]
10it [00:01,  4.86it/s]
11it [00:02,  4.82it/s]
12it [00:02,  4.83it/s]
13it [00:02,  4.83it/s]
14it [00:02,  4.84it/s]
15it [00:03,  4.84it/s]
16it [00:03,  4.83it/s]
17it [00:03,  4.83it/s]
18it [00:03,  4.83it/s]
19it [00:03,  4.82it/s]
20it [00:04,  4.82it/s]
21it [00:04,  4.82it/s]
22it [00:04,  4.81it/s]
23it [00:04,  4.82it/s]
24it [00:04,  4.82it/s]
25it [00:05,  4.83it/s]
26it [00:05,  4.82it/s]
27it [00:05,  4.83it/s]
28it [00:05,  4.83it/s]
29it [00:05,  4.83it/s]
30it [00:06,  4.83it/s]
30it [00:06,  4.90it/s]
Total safe images: 1 out of 1

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