Prediction

Model

adirik/realvisxl-v3.0-turbo:6e941e7f

no65qd3b7pzkm5nmthnshhajfu

Status

Succeeded

Source

Web

Hardware

A40

Total duration

4.0s

Created

almost 2 years ago

Webhook

–

Input

prompt: A landscape photo of iceland, with aurora, snow, ice and erupting lava
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)
width: 768
height: 768
num_outputs: 1
scheduler: DPM++_SDE_Karras
num_inference_steps: 25
guidance_scale: 2
prompt_strength: 0.8
refine: no_refiner
high_noise_frac: 0.8
apply_watermark: false

{
  "apply_watermark": false,
  "guidance_scale": 2,
  "height": 768,
  "high_noise_frac": 0.8,
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
  "num_inference_steps": 25,
  "num_outputs": 1,
  "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava",
  "prompt_strength": 0.8,
  "refine": "no_refiner",
  "scheduler": "DPM++_SDE_Karras",
  "width": 768
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_FOw**********************************

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 adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
  {
    input: {
      apply_watermark: false,
      guidance_scale: 2,
      height: 768,
      high_noise_frac: 0.8,
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      num_inference_steps: 25,
      num_outputs: 1,
      prompt: "A landscape photo of iceland, with aurora, snow, ice and erupting lava",
      prompt_strength: 0.8,
      refine: "no_refiner",
      scheduler: "DPM++_SDE_Karras",
      width: 768
    }
  }
);

// 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_FOw**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run adirik/realvisxl-v3.0-turbo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
    input={
        "apply_watermark": False,
        "guidance_scale": 2,
        "height": 768,
        "high_noise_frac": 0.8,
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
        "num_inference_steps": 25,
        "num_outputs": 1,
        "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava",
        "prompt_strength": 0.8,
        "refine": "no_refiner",
        "scheduler": "DPM++_SDE_Karras",
        "width": 768
    }
)

# 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_FOw**********************************

This is your API token. Keep it to yourself.

Run adirik/realvisxl-v3.0-turbo 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": "adirik/realvisxl-v3.0-turbo:6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
    "input": {
      "apply_watermark": false,
      "guidance_scale": 2,
      "height": 768,
      "high_noise_frac": 0.8,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
      "num_inference_steps": 25,
      "num_outputs": 1,
      "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava",
      "prompt_strength": 0.8,
      "refine": "no_refiner",
      "scheduler": "DPM++_SDE_Karras",
      "width": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "no65qd3b7pzkm5nmthnshhajfu",
  "model": "adirik/realvisxl-v3.0-turbo",
  "version": "6e941e7fe46955afc031f35e84312a792d546b0f434f9008d457eb9deb24575c",
  "input": {
    "apply_watermark": false,
    "guidance_scale": 2,
    "height": 768,
    "high_noise_frac": 0.8,
    "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch)",
    "num_inference_steps": 25,
    "num_outputs": 1,
    "prompt": "A landscape photo of iceland, with aurora, snow, ice and erupting lava",
    "prompt_strength": 0.8,
    "refine": "no_refiner",
    "scheduler": "DPM++_SDE_Karras",
    "width": 768
  },
  "logs": "Using seed: 56475\nPrompt: A landscape photo of iceland, with aurora, snow, ice and erupting lava\ntxt2img mode\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:02,  8.41it/s]\n  8%|▊         | 2/25 [00:00<00:02,  8.32it/s]\n 12%|█▏        | 3/25 [00:00<00:02,  8.31it/s]\n 16%|█▌        | 4/25 [00:00<00:02,  8.29it/s]\n 20%|██        | 5/25 [00:00<00:02,  8.28it/s]\n 24%|██▍       | 6/25 [00:00<00:02,  8.30it/s]\n 28%|██▊       | 7/25 [00:00<00:02,  8.31it/s]\n 32%|███▏      | 8/25 [00:00<00:02,  8.30it/s]\n 36%|███▌      | 9/25 [00:01<00:01,  8.30it/s]\n 40%|████      | 10/25 [00:01<00:01,  8.30it/s]\n 44%|████▍     | 11/25 [00:01<00:01,  8.29it/s]\n 48%|████▊     | 12/25 [00:01<00:01,  8.28it/s]\n 52%|█████▏    | 13/25 [00:01<00:01,  8.28it/s]\n 56%|█████▌    | 14/25 [00:01<00:01,  8.28it/s]\n 60%|██████    | 15/25 [00:01<00:01,  8.28it/s]\n 64%|██████▍   | 16/25 [00:01<00:01,  8.29it/s]\n 68%|██████▊   | 17/25 [00:02<00:00,  8.29it/s]\n 72%|███████▏  | 18/25 [00:02<00:00,  8.28it/s]\n 76%|███████▌  | 19/25 [00:02<00:00,  8.28it/s]\n 80%|████████  | 20/25 [00:02<00:00,  8.29it/s]\n 84%|████████▍ | 21/25 [00:02<00:00,  8.28it/s]\n 88%|████████▊ | 22/25 [00:02<00:00,  8.28it/s]\n 92%|█████████▏| 23/25 [00:02<00:00,  8.30it/s]\n 96%|█████████▌| 24/25 [00:02<00:00,  8.29it/s]\n100%|██████████| 25/25 [00:03<00:00,  8.30it/s]\n100%|██████████| 25/25 [00:03<00:00,  8.29it/s]",
  "output": [
    "https://replicate.delivery/pbxt/Ziz8oH4wHkIXNd4pnpEYNTSbVgWbMmReNNDxoRdVX5iyfGHSA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-12-29T12:38:57.670874Z",
  "started_at": "2023-12-29T12:38:57.676882Z",
  "completed_at": "2023-12-29T12:39:01.699671Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/no65qd3b7pzkm5nmthnshhajfu/cancel",
    "get": "https://api.replicate.com/v1/predictions/no65qd3b7pzkm5nmthnshhajfu"
  },
  "metrics": {
    "predict_time": 4.022789,
    "total_time": 4.028797
  }
}

Generated in

4.0 seconds

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