Prediction

Model

lucataco/sdxl-lcm:fbbd475b

x0cwyhz955rma0ckkq9rwsdma4

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

66.4s

Created

about 1 year ago

Webhook

–

Input

prompt: close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux
negative_prompt: Empty string
width: 1024
height: 1024
num_outputs: 1
scheduler: LCM
num_inference_steps: 4
guidance_scale: 1
prompt_strength: 0.8
seed: 29070
apply_watermark: true
lora_scale: 0.6

{
  "apply_watermark": true,
  "guidance_scale": 1,
  "height": 1024,
  "lora_scale": 0.6,
  "negative_prompt": "",
  "num_inference_steps": 4,
  "num_outputs": 1,
  "prompt": "close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux",
  "prompt_strength": 0.8,
  "scheduler": "LCM",
  "seed": 29070,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0Ij**********************************

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

const output = await replicate.run(
  "lucataco/sdxl-lcm:fbbd475b1084de80c47c35bfe4ae64b964294aa7e237e6537eed938cfd24903d",
  {
    input: {
      apply_watermark: true,
      guidance_scale: 1,
      height: 1024,
      lora_scale: 0.6,
      negative_prompt: "",
      num_inference_steps: 4,
      num_outputs: 1,
      prompt: "close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux",
      prompt_strength: 0.8,
      scheduler: "LCM",
      seed: 29070,
      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_0Ij**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "lucataco/sdxl-lcm:fbbd475b1084de80c47c35bfe4ae64b964294aa7e237e6537eed938cfd24903d",
    input={
        "apply_watermark": True,
        "guidance_scale": 1,
        "height": 1024,
        "lora_scale": 0.6,
        "negative_prompt": "",
        "num_inference_steps": 4,
        "num_outputs": 1,
        "prompt": "close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux",
        "prompt_strength": 0.8,
        "scheduler": "LCM",
        "seed": 29070,
        "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_0Ij**********************************

This is your API token. Keep it to yourself.

Run lucataco/sdxl-lcm 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": "lucataco/sdxl-lcm:fbbd475b1084de80c47c35bfe4ae64b964294aa7e237e6537eed938cfd24903d",
    "input": {
      "apply_watermark": true,
      "guidance_scale": 1,
      "height": 1024,
      "lora_scale": 0.6,
      "negative_prompt": "",
      "num_inference_steps": 4,
      "num_outputs": 1,
      "prompt": "close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux",
      "prompt_strength": 0.8,
      "scheduler": "LCM",
      "seed": 29070,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "x0cwyhz955rma0ckkq9rwsdma4",
  "model": "lucataco/sdxl-lcm",
  "version": "fbbd475b1084de80c47c35bfe4ae64b964294aa7e237e6537eed938cfd24903d",
  "input": {
    "apply_watermark": true,
    "guidance_scale": 1,
    "height": 1024,
    "lora_scale": 0.6,
    "negative_prompt": "",
    "num_inference_steps": 4,
    "num_outputs": 1,
    "prompt": "close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux",
    "prompt_strength": 0.8,
    "scheduler": "LCM",
    "seed": 29070,
    "width": 1024
  },
  "logs": "Using seed: 29070\nPrompt: close-up photography of a panda standing in the rain at night in a yellow jacket, under a clear umbrella, urban setting, in a street lit by lamps, facing camera, leica 35mm summilux\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%|          | 0/4 [00:00<?, ?it/s]\n 25%|██▌       | 1/4 [00:00<00:00,  5.64it/s]\n 75%|███████▌  | 3/4 [00:00<00:00, 11.00it/s]\n100%|██████████| 4/4 [00:00<00:00, 11.11it/s]",
  "output": [
    "https://replicate.delivery/xezq/CFULEO2b1eX9XKslkybMQhQLatPS79fBwMTles4k77lqdjwnA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-12-06T21:15:30.985Z",
  "started_at": "2024-12-06T21:16:36.115986Z",
  "completed_at": "2024-12-06T21:16:37.410075Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/x0cwyhz955rma0ckkq9rwsdma4/cancel",
    "get": "https://api.replicate.com/v1/predictions/x0cwyhz955rma0ckkq9rwsdma4",
    "stream": "https://stream.replicate.com/v1/files/bcwr-io5mndnonhmajwh7s5f44wihmd63d3gbo3qv3dcmj3jhyrmukuta",
    "web": "https://replicate.com/p/x0cwyhz955rma0ckkq9rwsdma4"
  },
  "metrics": {
    "predict_time": 1.294088758,
    "total_time": 66.425075
  }
}

Generated in

1.3 second

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