Prediction

Model

alexgenovese/test-endpoint:cacd901f

pnrolmzbk5ldbbj5vssu2e3tky

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

15.1s

Created

about 2 years ago

Webhook

–

Input

base_model: SG161222/RealVisXL_V1.0
prompt: A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still
negative_prompt: worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting
width: 1024
height: 1024
num_outputs: 1
scheduler: K_EULER
num_inference_steps: 50
guidance_scale: 7.5
apply_watermark: true

{
  "apply_watermark": true,
  "base_model": "SG161222/RealVisXL_V1.0",
  "guidance_scale": 7.5,
  "height": 1024,
  "negative_prompt": "worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
  "scheduler": "K_EULER",
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_A9F**********************************

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 alexgenovese/test-endpoint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
  {
    input: {
      apply_watermark: true,
      base_model: "SG161222/RealVisXL_V1.0",
      guidance_scale: 7.5,
      height: 1024,
      negative_prompt: "worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
      scheduler: "K_EULER",
      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_A9F**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run alexgenovese/test-endpoint using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
    input={
        "apply_watermark": True,
        "base_model": "SG161222/RealVisXL_V1.0",
        "guidance_scale": 7.5,
        "height": 1024,
        "negative_prompt": "worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
        "scheduler": "K_EULER",
        "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_A9F**********************************

This is your API token. Keep it to yourself.

Run alexgenovese/test-endpoint 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": "alexgenovese/test-endpoint:cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
    "input": {
      "apply_watermark": true,
      "base_model": "SG161222/RealVisXL_V1.0",
      "guidance_scale": 7.5,
      "height": 1024,
      "negative_prompt": "worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
      "scheduler": "K_EULER",
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "pnrolmzbk5ldbbj5vssu2e3tky",
  "model": "alexgenovese/test-endpoint",
  "version": "cacd901fa63f464ab00d47dcca090658defb4d3d75ff047f564151f854d23764",
  "input": {
    "apply_watermark": true,
    "base_model": "SG161222/RealVisXL_V1.0",
    "guidance_scale": 7.5,
    "height": 1024,
    "negative_prompt": "worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
    "scheduler": "K_EULER",
    "width": 1024
  },
  "logs": "Using seed: 22956\nLoading sdxl pipeline...\nLoading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...:  14%|█▍        | 1/7 [00:00<00:01,  4.77it/s]\nLoading pipeline components...:  43%|████▎     | 3/7 [00:00<00:00,  6.68it/s]\nLoading pipeline components...:  71%|███████▏  | 5/7 [00:00<00:00,  9.09it/s]\nLoading pipeline components...:  86%|████████▌ | 6/7 [00:01<00:00,  4.32it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:02<00:00,  1.50it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:02<00:00,  2.36it/s]\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:07,  6.92it/s]\n  4%|▍         | 2/50 [00:00<00:06,  7.68it/s]\n  6%|▌         | 3/50 [00:00<00:06,  7.44it/s]\n  8%|▊         | 4/50 [00:00<00:06,  7.22it/s]\n 10%|█         | 5/50 [00:00<00:06,  7.13it/s]\n 12%|█▏        | 6/50 [00:00<00:06,  6.95it/s]\n 14%|█▍        | 7/50 [00:00<00:06,  7.14it/s]\n 16%|█▌        | 8/50 [00:01<00:05,  7.48it/s]\n 18%|█▊        | 9/50 [00:01<00:05,  7.58it/s]\n 20%|██        | 10/50 [00:01<00:05,  7.53it/s]\n 22%|██▏       | 11/50 [00:01<00:05,  7.44it/s]\n 24%|██▍       | 12/50 [00:01<00:05,  7.39it/s]\n 26%|██▌       | 13/50 [00:01<00:04,  7.49it/s]\n 28%|██▊       | 14/50 [00:01<00:04,  7.73it/s]\n 30%|███       | 15/50 [00:02<00:04,  7.86it/s]\n 32%|███▏      | 16/50 [00:02<00:04,  8.03it/s]\n 34%|███▍      | 17/50 [00:02<00:04,  8.18it/s]\n 36%|███▌      | 18/50 [00:02<00:03,  8.30it/s]\n 38%|███▊      | 19/50 [00:02<00:03,  8.30it/s]\n 40%|████      | 20/50 [00:02<00:03,  8.34it/s]\n 42%|████▏     | 21/50 [00:02<00:03,  8.42it/s]\n 44%|████▍     | 22/50 [00:02<00:03,  8.47it/s]\n 46%|████▌     | 23/50 [00:02<00:03,  8.26it/s]\n 48%|████▊     | 24/50 [00:03<00:03,  8.31it/s]\n 50%|█████     | 25/50 [00:03<00:02,  8.39it/s]\n 52%|█████▏    | 26/50 [00:03<00:02,  8.45it/s]\n 54%|█████▍    | 27/50 [00:03<00:02,  8.48it/s]\n 56%|█████▌    | 28/50 [00:03<00:02,  8.51it/s]\n 58%|█████▊    | 29/50 [00:03<00:02,  8.53it/s]\n 60%|██████    | 30/50 [00:03<00:02,  8.55it/s]\n 62%|██████▏   | 31/50 [00:03<00:02,  8.56it/s]\n 64%|██████▍   | 32/50 [00:04<00:02,  8.52it/s]\n 66%|██████▌   | 33/50 [00:04<00:01,  8.54it/s]\n 68%|██████▊   | 34/50 [00:04<00:01,  8.56it/s]\n 70%|███████   | 35/50 [00:04<00:01,  8.57it/s]\n 72%|███████▏  | 36/50 [00:04<00:01,  8.58it/s]\n 74%|███████▍  | 37/50 [00:04<00:01,  8.54it/s]\n 76%|███████▌  | 38/50 [00:04<00:01,  8.38it/s]\n 78%|███████▊  | 39/50 [00:04<00:01,  8.27it/s]\n 80%|████████  | 40/50 [00:04<00:01,  8.14it/s]\n 82%|████████▏ | 41/50 [00:05<00:01,  8.27it/s]\n 84%|████████▍ | 42/50 [00:05<00:00,  8.37it/s]\n 86%|████████▌ | 43/50 [00:05<00:00,  8.37it/s]\n 88%|████████▊ | 44/50 [00:05<00:00,  8.43it/s]\n 90%|█████████ | 45/50 [00:05<00:00,  8.48it/s]\n 92%|█████████▏| 46/50 [00:05<00:00,  8.52it/s]\n 94%|█████████▍| 47/50 [00:05<00:00,  8.54it/s]\n 96%|█████████▌| 48/50 [00:05<00:00,  8.56it/s]\n 98%|█████████▊| 49/50 [00:06<00:00,  8.13it/s]\n100%|██████████| 50/50 [00:06<00:00,  8.26it/s]\n100%|██████████| 50/50 [00:06<00:00,  8.12it/s]",
  "output": [
    "https://replicate.delivery/pbxt/nuOfFs3YzoWbAavGUQ4kB1m50hvGuXplffehCLuKY5djLobGB/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-09-22T19:44:42.001062Z",
  "started_at": "2023-09-22T19:44:41.970285Z",
  "completed_at": "2023-09-22T19:44:57.083473Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/pnrolmzbk5ldbbj5vssu2e3tky/cancel",
    "get": "https://api.replicate.com/v1/predictions/pnrolmzbk5ldbbj5vssu2e3tky"
  },
  "metrics": {
    "predict_time": 15.113188,
    "total_time": 15.082411
  }
}

Generated in

15.1 seconds

Tweak it Report

Using seed: 22956 Loading sdxl pipeline... Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s] Loading pipeline components...: 14%|█▍ | 1/7 [00:00<00:01, 4.77it/s] Loading pipeline components...: 43%|████▎ | 3/7 [00:00<00:00, 6.68it/s] Loading pipeline components...: 71%|███████▏ | 5/7 [00:00<00:00, 9.09it/s] Loading pipeline components...: 86%|████████▌ | 6/7 [00:01<00:00, 4.32it/s] Loading pipeline components...: 100%|██████████| 7/7 [00:02<00:00, 1.50it/s] Loading pipeline components...: 100%|██████████| 7/7 [00:02<00:00, 2.36it/s] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:07, 6.92it/s] 4%|▍ | 2/50 [00:00<00:06, 7.68it/s] 6%|▌ | 3/50 [00:00<00:06, 7.44it/s] 8%|▊ | 4/50 [00:00<00:06, 7.22it/s] 10%|█ | 5/50 [00:00<00:06, 7.13it/s] 12%|█▏ | 6/50 [00:00<00:06, 6.95it/s] 14%|█▍ | 7/50 [00:00<00:06, 7.14it/s] 16%|█▌ | 8/50 [00:01<00:05, 7.48it/s] 18%|█▊ | 9/50 [00:01<00:05, 7.58it/s] 20%|██ | 10/50 [00:01<00:05, 7.53it/s] 22%|██▏ | 11/50 [00:01<00:05, 7.44it/s] 24%|██▍ | 12/50 [00:01<00:05, 7.39it/s] 26%|██▌ | 13/50 [00:01<00:04, 7.49it/s] 28%|██▊ | 14/50 [00:01<00:04, 7.73it/s] 30%|███ | 15/50 [00:02<00:04, 7.86it/s] 32%|███▏ | 16/50 [00:02<00:04, 8.03it/s] 34%|███▍ | 17/50 [00:02<00:04, 8.18it/s] 36%|███▌ | 18/50 [00:02<00:03, 8.30it/s] 38%|███▊ | 19/50 [00:02<00:03, 8.30it/s] 40%|████ | 20/50 [00:02<00:03, 8.34it/s] 42%|████▏ | 21/50 [00:02<00:03, 8.42it/s] 44%|████▍ | 22/50 [00:02<00:03, 8.47it/s] 46%|████▌ | 23/50 [00:02<00:03, 8.26it/s] 48%|████▊ | 24/50 [00:03<00:03, 8.31it/s] 50%|█████ | 25/50 [00:03<00:02, 8.39it/s] 52%|█████▏ | 26/50 [00:03<00:02, 8.45it/s] 54%|█████▍ | 27/50 [00:03<00:02, 8.48it/s] 56%|█████▌ | 28/50 [00:03<00:02, 8.51it/s] 58%|█████▊ | 29/50 [00:03<00:02, 8.53it/s] 60%|██████ | 30/50 [00:03<00:02, 8.55it/s] 62%|██████▏ | 31/50 [00:03<00:02, 8.56it/s] 64%|██████▍ | 32/50 [00:04<00:02, 8.52it/s] 66%|██████▌ | 33/50 [00:04<00:01, 8.54it/s] 68%|██████▊ | 34/50 [00:04<00:01, 8.56it/s] 70%|███████ | 35/50 [00:04<00:01, 8.57it/s] 72%|███████▏ | 36/50 [00:04<00:01, 8.58it/s] 74%|███████▍ | 37/50 [00:04<00:01, 8.54it/s] 76%|███████▌ | 38/50 [00:04<00:01, 8.38it/s] 78%|███████▊ | 39/50 [00:04<00:01, 8.27it/s] 80%|████████ | 40/50 [00:04<00:01, 8.14it/s] 82%|████████▏ | 41/50 [00:05<00:01, 8.27it/s] 84%|████████▍ | 42/50 [00:05<00:00, 8.37it/s] 86%|████████▌ | 43/50 [00:05<00:00, 8.37it/s] 88%|████████▊ | 44/50 [00:05<00:00, 8.43it/s] 90%|█████████ | 45/50 [00:05<00:00, 8.48it/s] 92%|█████████▏| 46/50 [00:05<00:00, 8.52it/s] 94%|█████████▍| 47/50 [00:05<00:00, 8.54it/s] 96%|█████████▌| 48/50 [00:05<00:00, 8.56it/s] 98%|█████████▊| 49/50 [00:06<00:00, 8.13it/s] 100%|██████████| 50/50 [00:06<00:00, 8.26it/s] 100%|██████████| 50/50 [00:06<00:00, 8.12it/s]