Prediction

lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77

Model

lucataco/realvisxl2-lcm:47963344

ID

xbpexxtb6uqgh77hbusyq34tca

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.8s

Created

over 1 year ago

Input

seed: 34694
width: 1024
height: 1024
prompt: dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot
scheduler: LCM
num_outputs: 1
guidance_scale: 2
apply_watermark
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
prompt_strength: 0.8
num_inference_steps: 6

{
  "seed": 34694,
  "width": 1024,
  "height": 1024,
  "prompt": "dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
  "scheduler": "LCM",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
  "prompt_strength": 0.8,
  "num_inference_steps": 6
}

Install Replicate’s Node.js client library:

npm install replicate

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/realvisxl2-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
  {
    input: {
      seed: 34694,
      width: 1024,
      height: 1024,
      prompt: "dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
      scheduler: "LCM",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      prompt_strength: 0.8,
      num_inference_steps: 6
    }
  }
);

// 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

Import the client:

import replicate

Run lucataco/realvisxl2-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
    input={
        "seed": 34694,
        "width": 1024,
        "height": 1024,
        "prompt": "dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
        "scheduler": "LCM",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
        "prompt_strength": 0.8,
        "num_inference_steps": 6
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/realvisxl2-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/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
    "input": {
      "seed": 34694,
      "width": 1024,
      "height": 1024,
      "prompt": "dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
      "scheduler": "LCM",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      "prompt_strength": 0.8,
      "num_inference_steps": 6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-15T23:06:59.108210Z",
  "created_at": "2023-11-15T23:06:56.321159Z",
  "data_removed": false,
  "error": null,
  "id": "xbpexxtb6uqgh77hbusyq34tca",
  "input": {
    "seed": 34694,
    "width": 1024,
    "height": 1024,
    "prompt": "dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
    "scheduler": "LCM",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
    "prompt_strength": 0.8,
    "num_inference_steps": 6
  },
  "logs": "Using seed: 34694\nPrompt: dark shot, front shot, photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot\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%|          | 0/6 [00:00<?, ?it/s]\n 17%|█▋        | 1/6 [00:00<00:00,  8.94it/s]\n 33%|███▎      | 2/6 [00:00<00:00,  8.86it/s]\n 50%|█████     | 3/6 [00:00<00:00,  8.87it/s]\n 67%|██████▋   | 4/6 [00:00<00:00,  8.86it/s]\n 83%|████████▎ | 5/6 [00:00<00:00,  8.84it/s]\n100%|██████████| 6/6 [00:00<00:00,  8.82it/s]\n100%|██████████| 6/6 [00:00<00:00,  8.84it/s]",
  "metrics": {
    "predict_time": 2.750163,
    "total_time": 2.787051
  },
  "output": [
    "https://replicate.delivery/pbxt/ILTzFdAenk1JLKVb7jZbEDUOUJGz7hSFFSArhCnxin7ICY8IA/out-0.png"
  ],
  "started_at": "2023-11-15T23:06:56.358047Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/xbpexxtb6uqgh77hbusyq34tca",
    "cancel": "https://api.replicate.com/v1/predictions/xbpexxtb6uqgh77hbusyq34tca/cancel"
  },
  "version": "479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77"
}

Generated in

2.8 seconds

Tweak it Share Report

Prediction

lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77

Model

lucataco/realvisxl2-lcm:47963344

ID

sq4cjdtbp4dk6lyk6kymdnt7x4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.4s

Created

over 1 year ago

Input

seed: 64737
width: 1024
height: 1024
prompt: dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot
scheduler: LCM
num_outputs: 1
guidance_scale: 2
apply_watermark
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
prompt_strength: 0.8
num_inference_steps: 6

{
  "seed": 64737,
  "width": 1024,
  "height": 1024,
  "prompt": "dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
  "scheduler": "LCM",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
  "prompt_strength": 0.8,
  "num_inference_steps": 6
}

Install Replicate’s Node.js client library:

npm install replicate

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/realvisxl2-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
  {
    input: {
      seed: 64737,
      width: 1024,
      height: 1024,
      prompt: "dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
      scheduler: "LCM",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      prompt_strength: 0.8,
      num_inference_steps: 6
    }
  }
);

// 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

Import the client:

import replicate

Run lucataco/realvisxl2-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
    input={
        "seed": 64737,
        "width": 1024,
        "height": 1024,
        "prompt": "dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
        "scheduler": "LCM",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
        "prompt_strength": 0.8,
        "num_inference_steps": 6
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/realvisxl2-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/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
    "input": {
      "seed": 64737,
      "width": 1024,
      "height": 1024,
      "prompt": "dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
      "scheduler": "LCM",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      "prompt_strength": 0.8,
      "num_inference_steps": 6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-15T23:08:39.763718Z",
  "created_at": "2023-11-15T23:08:37.328695Z",
  "data_removed": false,
  "error": null,
  "id": "sq4cjdtbp4dk6lyk6kymdnt7x4",
  "input": {
    "seed": 64737,
    "width": 1024,
    "height": 1024,
    "prompt": "dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot",
    "scheduler": "LCM",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
    "prompt_strength": 0.8,
    "num_inference_steps": 6
  },
  "logs": "Using seed: 64737\nPrompt: dark shot, front shot, photo of a 25 y.o latino woman, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot\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%|          | 0/6 [00:00<?, ?it/s]\n 17%|█▋        | 1/6 [00:00<00:00,  8.93it/s]\n 33%|███▎      | 2/6 [00:00<00:00,  8.85it/s]\n 50%|█████     | 3/6 [00:00<00:00,  8.83it/s]\n 67%|██████▋   | 4/6 [00:00<00:00,  8.82it/s]\n 83%|████████▎ | 5/6 [00:00<00:00,  8.83it/s]\n100%|██████████| 6/6 [00:00<00:00,  8.84it/s]\n100%|██████████| 6/6 [00:00<00:00,  8.84it/s]",
  "metrics": {
    "predict_time": 2.396322,
    "total_time": 2.435023
  },
  "output": [
    "https://replicate.delivery/pbxt/XH5EVlNNjJ4qBh9AEfMlWEZftdQVJsibqQz1Y509Wgw2Fw4RA/out-0.png"
  ],
  "started_at": "2023-11-15T23:08:37.367396Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/sq4cjdtbp4dk6lyk6kymdnt7x4",
    "cancel": "https://api.replicate.com/v1/predictions/sq4cjdtbp4dk6lyk6kymdnt7x4/cancel"
  },
  "version": "479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77"
}

Generated in

2.4 seconds

Tweak it Share Report

Prediction

lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77

Model

lucataco/realvisxl2-lcm:47963344

ID

ajtkbidbdtmhqbfz224adrl5le

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.5s

Created

over 1 year ago

Input

seed: 2020353893
width: 1024
height: 1024
prompt: front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)
scheduler: LCM
num_outputs: 1
guidance_scale: 2
apply_watermark
negative_prompt: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
prompt_strength: 0.8
num_inference_steps: 6

{
  "seed": 2020353893,
  "width": 1024,
  "height": 1024,
  "prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
  "scheduler": "LCM",
  "num_outputs": 1,
  "guidance_scale": 2,
  "apply_watermark": true,
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
  "prompt_strength": 0.8,
  "num_inference_steps": 6
}

Install Replicate’s Node.js client library:

npm install replicate

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/realvisxl2-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
  {
    input: {
      seed: 2020353893,
      width: 1024,
      height: 1024,
      prompt: "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
      scheduler: "LCM",
      num_outputs: 1,
      guidance_scale: 2,
      apply_watermark: true,
      negative_prompt: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      prompt_strength: 0.8,
      num_inference_steps: 6
    }
  }
);

// 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

Import the client:

import replicate

Run lucataco/realvisxl2-lcm using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
    input={
        "seed": 2020353893,
        "width": 1024,
        "height": 1024,
        "prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
        "scheduler": "LCM",
        "num_outputs": 1,
        "guidance_scale": 2,
        "apply_watermark": True,
        "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
        "prompt_strength": 0.8,
        "num_inference_steps": 6
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/realvisxl2-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/realvisxl2-lcm:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77",
    "input": {
      "seed": 2020353893,
      "width": 1024,
      "height": 1024,
      "prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
      "scheduler": "LCM",
      "num_outputs": 1,
      "guidance_scale": 2,
      "apply_watermark": true,
      "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
      "prompt_strength": 0.8,
      "num_inference_steps": 6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2023-11-15T23:33:21.493483Z",
  "created_at": "2023-11-15T23:33:18.997195Z",
  "data_removed": false,
  "error": null,
  "id": "ajtkbidbdtmhqbfz224adrl5le",
  "input": {
    "seed": 2020353893,
    "width": 1024,
    "height": 1024,
    "prompt": "front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)",
    "scheduler": "LCM",
    "num_outputs": 1,
    "guidance_scale": 2,
    "apply_watermark": true,
    "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
    "prompt_strength": 0.8,
    "num_inference_steps": 6
  },
  "logs": "Using seed: 2020353893\nPrompt: front shot, portrait photo of a cute 22 y.o woman, looks away, full lips, natural skin, skin moles, stormy weather, (cinematic, film grain:1.1)\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%|          | 0/6 [00:00<?, ?it/s]\n 17%|█▋        | 1/6 [00:00<00:00,  9.04it/s]\n 33%|███▎      | 2/6 [00:00<00:00,  8.96it/s]\n 50%|█████     | 3/6 [00:00<00:00,  8.96it/s]\n 67%|██████▋   | 4/6 [00:00<00:00,  8.97it/s]\n 83%|████████▎ | 5/6 [00:00<00:00,  8.97it/s]\n100%|██████████| 6/6 [00:00<00:00,  8.98it/s]\n100%|██████████| 6/6 [00:00<00:00,  8.97it/s]",
  "metrics": {
    "predict_time": 2.463097,
    "total_time": 2.496288
  },
  "output": [
    "https://replicate.delivery/pbxt/IUojxc6ARB4hNNVRDn8eLPdh0GrcRi4Gu11ePPevYe8C0BjHB/out-0.png"
  ],
  "started_at": "2023-11-15T23:33:19.030386Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ajtkbidbdtmhqbfz224adrl5le",
    "cancel": "https://api.replicate.com/v1/predictions/ajtkbidbdtmhqbfz224adrl5le/cancel"
  },
  "version": "479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77"
}

Generated in

2.5 seconds

Tweak it Share Report