Prediction

Model

popovluka/luka-flux-lora-model:56824412

7tk44cjbxhrma0cm8aqtkeeepg

Status

Succeeded

Source

Web

Hardware

H100

Total duration

10.3s

Created

11 months ago

Webhook

–

Input

prompt: A photo of lucio as a man drinking coffee in winter cafe
aspect_ratio: 9:16
prompt_strength: 0.5
model: dev
num_outputs: 1
num_inference_steps: 25
guidance_scale: 5
output_format: png
output_quality: 50
go_fast: false
megapixels: 1
lora_scale: 1
extra_lora_scale: 1

{
  "aspect_ratio": "9:16",
  "extra_lora_scale": 1,
  "go_fast": false,
  "guidance_scale": 5,
  "lora_scale": 1,
  "megapixels": "1",
  "model": "dev",
  "num_inference_steps": 25,
  "num_outputs": 1,
  "output_format": "png",
  "output_quality": 50,
  "prompt": "A photo of lucio as a man drinking coffee in winter cafe",
  "prompt_strength": 0.5
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FkX**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

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

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

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

const output = await replicate.run(
  "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938",
  {
    input: {
      aspect_ratio: "9:16",
      extra_lora_scale: 1,
      go_fast: false,
      guidance_scale: 5,
      lora_scale: 1,
      megapixels: "1",
      model: "dev",
      num_inference_steps: 25,
      num_outputs: 1,
      output_format: "png",
      output_quality: 50,
      prompt: "A photo of lucio as a man drinking coffee in winter cafe",
      prompt_strength: 0.5
    }
  }
);

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

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

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

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FkX**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938",
    input={
        "aspect_ratio": "9:16",
        "extra_lora_scale": 1,
        "go_fast": False,
        "guidance_scale": 5,
        "lora_scale": 1,
        "megapixels": "1",
        "model": "dev",
        "num_inference_steps": 25,
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 50,
        "prompt": "A photo of lucio as a man drinking coffee in winter cafe",
        "prompt_strength": 0.5
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FkX**********************************

This is your API token. Keep it to yourself.

Run popovluka/luka-flux-lora-model 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": "popovluka/luka-flux-lora-model:5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938",
    "input": {
      "aspect_ratio": "9:16",
      "extra_lora_scale": 1,
      "go_fast": false,
      "guidance_scale": 5,
      "lora_scale": 1,
      "megapixels": "1",
      "model": "dev",
      "num_inference_steps": 25,
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 50,
      "prompt": "A photo of lucio as a man drinking coffee in winter cafe",
      "prompt_strength": 0.5
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "7tk44cjbxhrma0cm8aqtkeeepg",
  "model": "popovluka/luka-flux-lora-model",
  "version": "5682441286e21b648ee4cdf84cb493ec734148096bdd992b09f17284eb6a3938",
  "input": {
    "aspect_ratio": "9:16",
    "extra_lora_scale": 1,
    "go_fast": false,
    "guidance_scale": 5,
    "lora_scale": 1,
    "megapixels": "1",
    "model": "dev",
    "num_inference_steps": 25,
    "num_outputs": 1,
    "output_format": "png",
    "output_quality": 50,
    "prompt": "A photo of lucio as a man drinking coffee in winter cafe",
    "prompt_strength": 0.5
  },
  "logs": "2025-01-07 21:32:52.155 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 21:32:52.156 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  91%|█████████▏| 278/304 [00:00<00:00, 2767.80it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.88it/s]\n2025-01-07 21:32:52.272 | SUCCESS  | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=28678905905152\nDownloading weights\n2025-01-07T21:32:52Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmptcie5u8d/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\n2025-01-07T21:32:56Z | INFO  | [ Complete ] dest=/tmp/tmptcie5u8d/weights size=\"194 MB\" total_elapsed=4.241s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar\nDownloaded weights in 4.27s\n2025-01-07 21:32:56.541 | INFO     | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a\n2025-01-07 21:32:56.617 | INFO     | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-07 21:32:56.617 | DEBUG    | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-07 21:32:56.617 | DEBUG    | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA:   0%|          | 0/304 [00:00<?, ?it/s]\nApplying LoRA:  96%|█████████▌| 291/304 [00:00<00:00, 2903.25it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2779.23it/s]\n2025-01-07 21:32:56.727 | SUCCESS  | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 57578\n0it [00:00, ?it/s]\n1it [00:00,  8.50it/s]\n2it [00:00,  5.95it/s]\n3it [00:00,  5.41it/s]\n4it [00:00,  5.21it/s]\n5it [00:00,  5.06it/s]\n6it [00:01,  4.96it/s]\n7it [00:01,  4.93it/s]\n8it [00:01,  4.92it/s]\n9it [00:01,  4.91it/s]\n10it [00:01,  4.89it/s]\n11it [00:02,  4.87it/s]\n12it [00:02,  4.87it/s]\n13it [00:02,  4.88it/s]\n14it [00:02,  4.88it/s]\n15it [00:02,  4.86it/s]\n16it [00:03,  4.85it/s]\n17it [00:03,  4.85it/s]\n18it [00:03,  4.85it/s]\n19it [00:03,  4.86it/s]\n20it [00:04,  4.86it/s]\n21it [00:04,  4.86it/s]\n22it [00:04,  4.85it/s]\n23it [00:04,  4.86it/s]\n24it [00:04,  4.86it/s]\n25it [00:05,  4.86it/s]\n25it [00:05,  4.95it/s]\nTotal safe images: 1 out of 1",
  "output": [
    "https://replicate.delivery/xezq/0fNS4wRc4O0JCCxbcDGfLa0oeTzuVfruXZb33rRcAyY64TLQB/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-01-07T21:32:52.076Z",
  "started_at": "2025-01-07T21:32:52.156043Z",
  "completed_at": "2025-01-07T21:33:02.348632Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/7tk44cjbxhrma0cm8aqtkeeepg/cancel",
    "get": "https://api.replicate.com/v1/predictions/7tk44cjbxhrma0cm8aqtkeeepg",
    "stream": "https://stream.replicate.com/v1/files/bcwr-4fx3kxrjbdtjcfpvajp3rkb5nd5zsn42tdp6sfxx6bqqgsqwr3ya",
    "web": "https://replicate.com/p/7tk44cjbxhrma0cm8aqtkeeepg"
  },
  "metrics": {
    "predict_time": 10.192589047,
    "total_time": 10.272632
  }
}

Generated in

10.2 seconds

Tweak it Report

2025-01-07 21:32:52.155 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-07 21:32:52.156 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2767.80it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2619.88it/s] 2025-01-07 21:32:52.272 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=28678905905152 Downloading weights 2025-01-07T21:32:52Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptcie5u8d/weights url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar 2025-01-07T21:32:56Z | INFO | [ Complete ] dest=/tmp/tmptcie5u8d/weights size="194 MB" total_elapsed=4.241s url=https://replicate.delivery/yhqm/e75n1f6s9LmcEEMFbySFWbfPgJi0C3xS8Wa0XwqnzXeHx4faC/trained_model.tar Downloaded weights in 4.27s 2025-01-07 21:32:56.541 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/22a781654afdec9a 2025-01-07 21:32:56.617 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-07 21:32:56.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-07 21:32:56.617 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 96%|█████████▌| 291/304 [00:00<00:00, 2903.25it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2779.23it/s] 2025-01-07 21:32:56.727 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 57578 0it [00:00, ?it/s] 1it [00:00, 8.50it/s] 2it [00:00, 5.95it/s] 3it [00:00, 5.41it/s] 4it [00:00, 5.21it/s] 5it [00:00, 5.06it/s] 6it [00:01, 4.96it/s] 7it [00:01, 4.93it/s] 8it [00:01, 4.92it/s] 9it [00:01, 4.91it/s] 10it [00:01, 4.89it/s] 11it [00:02, 4.87it/s] 12it [00:02, 4.87it/s] 13it [00:02, 4.88it/s] 14it [00:02, 4.88it/s] 15it [00:02, 4.86it/s] 16it [00:03, 4.85it/s] 17it [00:03, 4.85it/s] 18it [00:03, 4.85it/s] 19it [00:03, 4.86it/s] 20it [00:04, 4.86it/s] 21it [00:04, 4.86it/s] 22it [00:04, 4.85it/s] 23it [00:04, 4.86it/s] 24it [00:04, 4.86it/s] 25it [00:05, 4.86it/s] 25it [00:05, 4.95it/s] Total safe images: 1 out of 1