Prediction

Model

lucataco/realvisxl-v1.0:b4cbb318

eej4ivjbfa5ymeu5tonseb4s3i

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

6.7s

Created

over 2 years ago

Webhook

–

Input

prompt: dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
width: 1024
height: 1024
scheduler: DPMSolverMultistep
num_inference_steps: 40
guidance_scale: 7
seed: 41872

{
  "guidance_scale": 7,
  "height": 1024,
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
  "num_inference_steps": 40,
  "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows",
  "scheduler": "DPMSolverMultistep",
  "seed": 41872,
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_3Kl**********************************

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/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833",
  {
    input: {
      guidance_scale: 7,
      height: 1024,
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      num_inference_steps: 40,
      prompt: "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows",
      scheduler: "DPMSolverMultistep",
      seed: 41872,
      width: 1024
    }
  }
);

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

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

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_3Kl**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lucataco/realvisxl-v1.0 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833",
    input={
        "guidance_scale": 7,
        "height": 1024,
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
        "num_inference_steps": 40,
        "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows",
        "scheduler": "DPMSolverMultistep",
        "seed": 41872,
        "width": 1024
    }
)

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

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.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_3Kl**********************************

This is your API token. Keep it to yourself.

Run lucataco/realvisxl-v1.0 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/realvisxl-v1.0:b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833",
    "input": {
      "guidance_scale": 7,
      "height": 1024,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      "num_inference_steps": 40,
      "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows",
      "scheduler": "DPMSolverMultistep",
      "seed": 41872,
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "eej4ivjbfa5ymeu5tonseb4s3i",
  "model": "lucataco/realvisxl-v1.0",
  "version": "b4cbb3181d03f013ad2b92de9d160373fa820dee177a1e63dd0ae44f592c3833",
  "input": {
    "guidance_scale": 7,
    "height": 1024,
    "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
    "num_inference_steps": 40,
    "prompt": "dark shot, photo of cute 24 y.o latino male, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows",
    "scheduler": "DPMSolverMultistep",
    "seed": 41872,
    "width": 1024
  },
  "logs": "Using seed: 41872\n  0%|          | 0/40 [00:00<?, ?it/s]\n  2%|▎         | 1/40 [00:00<00:05,  6.89it/s]\n  5%|▌         | 2/40 [00:00<00:04,  7.69it/s]\n  8%|▊         | 3/40 [00:00<00:04,  8.00it/s]\n 10%|█         | 4/40 [00:00<00:04,  8.10it/s]\n 12%|█▎        | 5/40 [00:00<00:04,  8.19it/s]\n 15%|█▌        | 6/40 [00:00<00:04,  8.22it/s]\n 18%|█▊        | 7/40 [00:00<00:04,  7.97it/s]\n 20%|██        | 8/40 [00:01<00:03,  8.05it/s]\n 22%|██▎       | 9/40 [00:01<00:03,  8.02it/s]\n 25%|██▌       | 10/40 [00:01<00:03,  8.04it/s]\n 28%|██▊       | 11/40 [00:01<00:03,  8.12it/s]\n 30%|███       | 12/40 [00:01<00:03,  8.24it/s]\n 32%|███▎      | 13/40 [00:01<00:03,  8.35it/s]\n 35%|███▌      | 14/40 [00:01<00:03,  8.43it/s]\n 38%|███▊      | 15/40 [00:01<00:03,  8.20it/s]\n 40%|████      | 16/40 [00:01<00:02,  8.32it/s]\n 42%|████▎     | 17/40 [00:02<00:02,  8.41it/s]\n 45%|████▌     | 18/40 [00:02<00:02,  8.28it/s]\n 48%|████▊     | 19/40 [00:02<00:02,  8.14it/s]\n 50%|█████     | 20/40 [00:02<00:02,  8.23it/s]\n 52%|█████▎    | 21/40 [00:02<00:02,  7.98it/s]\n 55%|█████▌    | 22/40 [00:02<00:02,  7.67it/s]\n 57%|█████▊    | 23/40 [00:02<00:02,  7.69it/s]\n 60%|██████    | 24/40 [00:02<00:02,  7.67it/s]\n 62%|██████▎   | 25/40 [00:03<00:02,  7.40it/s]\n 65%|██████▌   | 26/40 [00:03<00:01,  7.56it/s]\n 68%|██████▊   | 27/40 [00:03<00:01,  7.85it/s]\n 70%|███████   | 28/40 [00:03<00:01,  8.06it/s]\n 72%|███████▎  | 29/40 [00:03<00:01,  8.20it/s]\n 75%|███████▌  | 30/40 [00:03<00:01,  8.31it/s]\n 78%|███████▊  | 31/40 [00:03<00:01,  8.03it/s]\n 80%|████████  | 32/40 [00:03<00:01,  7.85it/s]\n 82%|████████▎ | 33/40 [00:04<00:00,  7.89it/s]\n 85%|████████▌ | 34/40 [00:04<00:00,  8.00it/s]\n 88%|████████▊ | 35/40 [00:04<00:00,  8.16it/s]\n 90%|█████████ | 36/40 [00:04<00:00,  7.98it/s]\n 92%|█████████▎| 37/40 [00:04<00:00,  7.64it/s]\n 95%|█████████▌| 38/40 [00:04<00:00,  7.49it/s]\n 98%|█████████▊| 39/40 [00:04<00:00,  7.45it/s]\n100%|██████████| 40/40 [00:05<00:00,  7.63it/s]\n100%|██████████| 40/40 [00:05<00:00,  7.95it/s]",
  "output": "https://replicate.delivery/pbxt/EpHqLJWB23IRPxP9KXfreAdt1OkRDPmwih3vd8P6wK7bKtjRA/output.png",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-09-13T02:38:13.703003Z",
  "started_at": "2023-09-13T02:38:13.673282Z",
  "completed_at": "2023-09-13T02:38:20.358825Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/eej4ivjbfa5ymeu5tonseb4s3i/cancel",
    "get": "https://api.replicate.com/v1/predictions/eej4ivjbfa5ymeu5tonseb4s3i"
  },
  "metrics": {
    "predict_time": 6.685543,
    "total_time": 6.655822
  }
}

Generated in

6.7 seconds

Tweak it Report

Using seed: 41872 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:05, 6.89it/s] 5%|▌ | 2/40 [00:00<00:04, 7.69it/s] 8%|▊ | 3/40 [00:00<00:04, 8.00it/s] 10%|█ | 4/40 [00:00<00:04, 8.10it/s] 12%|█▎ | 5/40 [00:00<00:04, 8.19it/s] 15%|█▌ | 6/40 [00:00<00:04, 8.22it/s] 18%|█▊ | 7/40 [00:00<00:04, 7.97it/s] 20%|██ | 8/40 [00:01<00:03, 8.05it/s] 22%|██▎ | 9/40 [00:01<00:03, 8.02it/s] 25%|██▌ | 10/40 [00:01<00:03, 8.04it/s] 28%|██▊ | 11/40 [00:01<00:03, 8.12it/s] 30%|███ | 12/40 [00:01<00:03, 8.24it/s] 32%|███▎ | 13/40 [00:01<00:03, 8.35it/s] 35%|███▌ | 14/40 [00:01<00:03, 8.43it/s] 38%|███▊ | 15/40 [00:01<00:03, 8.20it/s] 40%|████ | 16/40 [00:01<00:02, 8.32it/s] 42%|████▎ | 17/40 [00:02<00:02, 8.41it/s] 45%|████▌ | 18/40 [00:02<00:02, 8.28it/s] 48%|████▊ | 19/40 [00:02<00:02, 8.14it/s] 50%|█████ | 20/40 [00:02<00:02, 8.23it/s] 52%|█████▎ | 21/40 [00:02<00:02, 7.98it/s] 55%|█████▌ | 22/40 [00:02<00:02, 7.67it/s] 57%|█████▊ | 23/40 [00:02<00:02, 7.69it/s] 60%|██████ | 24/40 [00:02<00:02, 7.67it/s] 62%|██████▎ | 25/40 [00:03<00:02, 7.40it/s] 65%|██████▌ | 26/40 [00:03<00:01, 7.56it/s] 68%|██████▊ | 27/40 [00:03<00:01, 7.85it/s] 70%|███████ | 28/40 [00:03<00:01, 8.06it/s] 72%|███████▎ | 29/40 [00:03<00:01, 8.20it/s] 75%|███████▌ | 30/40 [00:03<00:01, 8.31it/s] 78%|███████▊ | 31/40 [00:03<00:01, 8.03it/s] 80%|████████ | 32/40 [00:03<00:01, 7.85it/s] 82%|████████▎ | 33/40 [00:04<00:00, 7.89it/s] 85%|████████▌ | 34/40 [00:04<00:00, 8.00it/s] 88%|████████▊ | 35/40 [00:04<00:00, 8.16it/s] 90%|█████████ | 36/40 [00:04<00:00, 7.98it/s] 92%|█████████▎| 37/40 [00:04<00:00, 7.64it/s] 95%|█████████▌| 38/40 [00:04<00:00, 7.49it/s] 98%|█████████▊| 39/40 [00:04<00:00, 7.45it/s] 100%|██████████| 40/40 [00:05<00:00, 7.63it/s] 100%|██████████| 40/40 [00:05<00:00, 7.95it/s]