lightweight-ai/model1:edc047cd – Run with an API on Replicate

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lightweight-ai /model1:edc047cd

Input

prompt

string

Shift + Return to add a new line

A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.

Prompt for generated image

Default: "A fluffy, orange tabby cat curled up asleep in a sunbeam streaming through a window, its soft fur glowing with the warmth of the light; highly detailed 8K UHD photorealistic rendering, natural lighting, warm and inviting atmosphere, focus on softness and texture."

image

string

Shift + Return to add a new line

image url

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image.

Default: 0.8

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 12)

Number of inference steps

Default: 4

lora_name

string

prepare lora name

lora_scale

number

(minimum: 0, maximum: 1)

Scale for the LoRA weights

Default: 0.8

seed

integer

Random seed. Set for reproducible generation

output_format

string

Format of the output images

Default: "png"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 100

Run this model in Node.js with one line of code:

npx create-replicate --model=lightweight-ai/model1

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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 lightweight-ai/model1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lightweight-ai/model1:edc047cdeea08443ecd29dddc6b91c11d64345b50f198c00cdb360cb83daf525",
  {
    input: {
      width: 640,
      height: 1024,
      prompt: "A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.",
      lora_name: "AzureAtlas",
      lora_scale: 1,
      num_outputs: 1,
      output_format: "png",
      output_quality: 100,
      prompt_strength: 0.8,
      num_inference_steps: 4
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run lightweight-ai/model1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lightweight-ai/model1:edc047cdeea08443ecd29dddc6b91c11d64345b50f198c00cdb360cb83daf525",
    input={
        "width": 640,
        "height": 1024,
        "prompt": "A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.",
        "lora_name": "AzureAtlas",
        "lora_scale": 1,
        "num_outputs": 1,
        "output_format": "png",
        "output_quality": 100,
        "prompt_strength": 0.8,
        "num_inference_steps": 4
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run lightweight-ai/model1 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": "lightweight-ai/model1:edc047cdeea08443ecd29dddc6b91c11d64345b50f198c00cdb360cb83daf525",
    "input": {
      "width": 640,
      "height": 1024,
      "prompt": "A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.",
      "lora_name": "AzureAtlas",
      "lora_scale": 1,
      "num_outputs": 1,
      "output_format": "png",
      "output_quality": 100,
      "prompt_strength": 0.8,
      "num_inference_steps": 4
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-11-12T09:35:36.070397Z",
  "created_at": "2024-11-12T09:35:32.487000Z",
  "data_removed": false,
  "error": null,
  "id": "eg0eyq3ggxrj20ck3yxbfsndjr",
  "input": {
    "width": 640,
    "height": 1024,
    "prompt": "A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.",
    "lora_name": "AzureAtlas",
    "lora_scale": 1,
    "num_outputs": 1,
    "output_format": "png",
    "output_quality": 100,
    "prompt_strength": 0.8,
    "num_inference_steps": 4
  },
  "logs": "Using seed: 30707\nPrompt: A mixed-media collage of a man in a sleek, modern suit. His face is partially obscured by torn newspaper clippings and splashes of paint, creating a layered effect that contrasts his polished appearance with the chaotic background.\ntxt2img mode\nDownloading LoRA weights from - safetensor URL: https://sg-model-store.s3.ap-northeast-2.amazonaws.com/System/Lora/AzureAtlas/v0.5/AzureAtlasv0.5.safetensors\nLoading LoRA took: 1.76 seconds\n  0%|          | 0/4 [00:00<?, ?it/s]\n 25%|██▌       | 1/4 [00:00<00:01,  2.89it/s]\n 50%|█████     | 2/4 [00:00<00:00,  3.33it/s]\n 75%|███████▌  | 3/4 [00:00<00:00,  3.12it/s]\n100%|██████████| 4/4 [00:01<00:00,  3.03it/s]\n100%|██████████| 4/4 [00:01<00:00,  3.07it/s]",
  "metrics": {
    "predict_time": 3.534660921,
    "total_time": 3.583397
  },
  "output": [
    "https://replicate.delivery/yhqm/WPGMBrUdHcoeD6EfZMyrAfkuORFmwNeJuWAF3e3wAufMaTD8E/out-0.png"
  ],
  "started_at": "2024-11-12T09:35:32.535736Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/qoxq-7e6ip3ryhikjmocjr7vx7ajhfsesgrrvageplgh4xeb3ng474dka",
    "get": "https://api.replicate.com/v1/predictions/eg0eyq3ggxrj20ck3yxbfsndjr",
    "cancel": "https://api.replicate.com/v1/predictions/eg0eyq3ggxrj20ck3yxbfsndjr/cancel"
  },
  "version": "edc047cdeea08443ecd29dddc6b91c11d64345b50f198c00cdb360cb83daf525"
}

Generated in

3.5 seconds

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