Prediction

Model

doriandarko/lcm-hiroshinagai:b43c25e9

7bf2dkdbrkv2q374bxvmoons6a

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

17.3s

Created

about 2 years ago

Webhook

–

Input

prompt: In the style of TOK. A mid-century modern house with a pool, surrounded by palm trees
negative_prompt: Gothic, Medieval, Abstract, Futuristic, Rustic, Victorian, Graffiti, Fantasy, Horror, Industrial, Cubism, Impressionism, Surrealism, Baroque, Renaissance, Expressionism, Pop-art, Dystopian, Steampunk, Cyberpunk, Ugly, Bad proportion, Distorted, Cluttered, Chaotic, Mismatched, Overcrowded, Imbalanced, Inharmonious, Disproportionate, Unpleasant, Grungy, Messy, Unrefined, Crude, Grotesque, Disarray, Jumbled, Haphazard, Unsymmetrical
width: 1024
height: 1024
num_outputs: 4
scheduler: LCM
num_inference_steps: 6
guidance_scale: 2
prompt_strength: 0.8
apply_watermark: true
lora_scale: 0.6

{
  "apply_watermark": true,
  "guidance_scale": 2,
  "height": 1024,
  "lora_scale": 0.6,
  "negative_prompt": "Gothic, Medieval, Abstract, Futuristic, Rustic, Victorian, Graffiti, Fantasy, Horror, Industrial, Cubism, Impressionism, Surrealism, Baroque, Renaissance, Expressionism, Pop-art, Dystopian, Steampunk, Cyberpunk, Ugly, Bad proportion, Distorted, Cluttered, Chaotic, Mismatched, Overcrowded, Imbalanced, Inharmonious, Disproportionate, Unpleasant, Grungy, Messy, Unrefined, Crude, Grotesque, Disarray, Jumbled, Haphazard, Unsymmetrical\n",
  "num_inference_steps": 6,
  "num_outputs": 4,
  "prompt": "In the style of TOK. A mid-century modern house with a pool, surrounded by palm trees ",
  "prompt_strength": 0.8,
  "scheduler": "LCM",
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_1nM**********************************

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 doriandarko/lcm-hiroshinagai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "doriandarko/lcm-hiroshinagai:b43c25e9643af233e1258c839b6c6726504cbc25a1843ff80d83d911b8c99faa",
  {
    input: {
      apply_watermark: true,
      guidance_scale: 2,
      height: 1024,
      lora_scale: 0.6,
      negative_prompt: "Gothic, Medieval, Abstract, Futuristic, Rustic, Victorian, Graffiti, Fantasy, Horror, Industrial, Cubism, Impressionism, Surrealism, Baroque, Renaissance, Expressionism, Pop-art, Dystopian, Steampunk, Cyberpunk, Ugly, Bad proportion, Distorted, Cluttered, Chaotic, Mismatched, Overcrowded, Imbalanced, Inharmonious, Disproportionate, Unpleasant, Grungy, Messy, Unrefined, Crude, Grotesque, Disarray, Jumbled, Haphazard, Unsymmetrical\n",
      num_inference_steps: 6,
      num_outputs: 4,
      prompt: "In the style of TOK. A mid-century modern house with a pool, surrounded by palm trees ",
      prompt_strength: 0.8,
      scheduler: "LCM",
      width: 1024
    }
  }
);

// 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_1nM**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run doriandarko/lcm-hiroshinagai using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "doriandarko/lcm-hiroshinagai:b43c25e9643af233e1258c839b6c6726504cbc25a1843ff80d83d911b8c99faa",
    input={
        "apply_watermark": True,
        "guidance_scale": 2,
        "height": 1024,
        "lora_scale": 0.6,
        "negative_prompt": "Gothic, Medieval, Abstract, Futuristic, Rustic, Victorian, Graffiti, Fantasy, Horror, Industrial, Cubism, Impressionism, Surrealism, Baroque, Renaissance, Expressionism, Pop-art, Dystopian, Steampunk, Cyberpunk, Ugly, Bad proportion, Distorted, Cluttered, Chaotic, Mismatched, Overcrowded, Imbalanced, Inharmonious, Disproportionate, Unpleasant, Grungy, Messy, Unrefined, Crude, Grotesque, Disarray, Jumbled, Haphazard, Unsymmetrical\n",
        "num_inference_steps": 6,
        "num_outputs": 4,
        "prompt": "In the style of TOK. A mid-century modern house with a pool, surrounded by palm trees ",
        "prompt_strength": 0.8,
        "scheduler": "LCM",
        "width": 1024
    }
)

# 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_1nM**********************************

This is your API token. Keep it to yourself.

Run doriandarko/lcm-hiroshinagai 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": "doriandarko/lcm-hiroshinagai:b43c25e9643af233e1258c839b6c6726504cbc25a1843ff80d83d911b8c99faa",
    "input": {
      "apply_watermark": true,
      "guidance_scale": 2,
      "height": 1024,
      "lora_scale": 0.6,
      "negative_prompt": "Gothic, Medieval, Abstract, Futuristic, Rustic, Victorian, Graffiti, Fantasy, Horror, Industrial, Cubism, Impressionism, Surrealism, Baroque, Renaissance, Expressionism, Pop-art, Dystopian, Steampunk, Cyberpunk, Ugly, Bad proportion, Distorted, Cluttered, Chaotic, Mismatched, Overcrowded, Imbalanced, Inharmonious, Disproportionate, Unpleasant, Grungy, Messy, Unrefined, Crude, Grotesque, Disarray, Jumbled, Haphazard, Unsymmetrical\\n",
      "num_inference_steps": 6,
      "num_outputs": 4,
      "prompt": "In the style of TOK. A mid-century modern house with a pool, surrounded by palm trees ",
      "prompt_strength": 0.8,
      "scheduler": "LCM",
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "7bf2dkdbrkv2q374bxvmoons6a",
  "model": "doriandarko/lcm-hiroshinagai",
  "version": "b43c25e9643af233e1258c839b6c6726504cbc25a1843ff80d83d911b8c99faa",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 2,
    "height": 1024,
    "lora_scale": 0.6,
    "negative_prompt": "Gothic, Medieval, Abstract, Futuristic, Rustic, Victorian, Graffiti, Fantasy, Horror, Industrial, Cubism, Impressionism, Surrealism, Baroque, Renaissance, Expressionism, Pop-art, Dystopian, Steampunk, Cyberpunk, Ugly, Bad proportion, Distorted, Cluttered, Chaotic, Mismatched, Overcrowded, Imbalanced, Inharmonious, Disproportionate, Unpleasant, Grungy, Messy, Unrefined, Crude, Grotesque, Disarray, Jumbled, Haphazard, Unsymmetrical\n",
    "num_inference_steps": 6,
    "num_outputs": 4,
    "prompt": "In the style of TOK. A mid-century modern house with a pool, surrounded by palm trees ",
    "prompt_strength": 0.8,
    "scheduler": "LCM",
    "width": 1024
  },
  "logs": "Using seed: 5739\nEnsuring enough disk space...\nFree disk space: 1456477806592\nDownloading weights: https://replicate.delivery/pbxt/2qPgVBQfv02WJapYb0CrvfE0tEPGSWInWTo3Of2QTKDZZAxjA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.989s (188 MB/s)\\nExtracted 186 MB in 0.057s (3.3 GB/s)\\n'\nDownloaded weights in 1.2983520030975342 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: In the style of <s0><s1>. A mid-century modern house with a pool, surrounded by palm trees\ntxt2img mode\nThe config attributes {'skip_prk_steps': True} were passed to LCMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\n  0%|          | 0/6 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.13/lib/python3.10/site-packages/diffusers/models/attention_processor.py:1821: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`\ndeprecate(\n 17%|█▋        | 1/6 [00:01<00:05,  1.14s/it]\n 33%|███▎      | 2/6 [00:02<00:04,  1.06s/it]\n 50%|█████     | 3/6 [00:03<00:03,  1.03s/it]\n 67%|██████▋   | 4/6 [00:04<00:02,  1.02s/it]\n 83%|████████▎ | 5/6 [00:05<00:01,  1.01s/it]\n100%|██████████| 6/6 [00:06<00:00,  1.01s/it]\n100%|██████████| 6/6 [00:06<00:00,  1.02s/it]",
  "output": [
    "https://replicate.delivery/pbxt/XejekARL6gmq6EMG08QYKPn0XsfZenw9v8oGhVlXPdQHdBiHB/out-0.png",
    "https://replicate.delivery/pbxt/42yML1nyvz6XK9JOyRnbGsHu1NhYFxbRleFIB8uHViRpLQ8IA/out-1.png",
    "https://replicate.delivery/pbxt/ETzexSZM3lUWR6byZICrlTIz71iP00IoocLpwYePfXOmuAxjA/out-2.png",
    "https://replicate.delivery/pbxt/Ukgl1mSWC0qtJ9ut0mVLfN30h0k3shYj9WGSe0UlWbNUXg4RA/out-3.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-11-15T05:14:43.142398Z",
  "started_at": "2023-11-15T05:14:45.243293Z",
  "completed_at": "2023-11-15T05:15:00.408645Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/7bf2dkdbrkv2q374bxvmoons6a/cancel",
    "get": "https://api.replicate.com/v1/predictions/7bf2dkdbrkv2q374bxvmoons6a"
  },
  "metrics": {
    "predict_time": 15.165352,
    "total_time": 17.266247
  }
}

Generated in

15.2 seconds

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