lucataco/realvisxl2-lcm:47963344 – Run with an API on Replicate

Version

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lucataco /realvisxl2-lcm:47963344

Input

prompt

string

Shift + Return to add a new line

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)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)

Input prompt

Default: "dark shot, front shot, closeup photo of a 25 y.o latino man, perfect eyes, natural skin, skin moles, looks at viewer, cinematic shot"

negative_prompt

string

Shift + Return to add a new line

(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth

Negative Input prompt

Default: "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"

image

file

Input image for img2img or inpaint mode

mask

file

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "LCM"

num_inference_steps

integer

(minimum: 1, maximum: 20)

Number of denoising steps

Default: 6

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 2

prompt_strength

number

(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

seed

integer

Random seed. Leave blank to randomize the seed

apply_watermark

boolean

Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

Default: true

disable_safety_checker

boolean

Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=lucataco/realvisxl2-lcm

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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
    }
  }
);
console.log(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=<paste-your-token-here>

Find your API token in your account settings.

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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/lucataco/realvisxl2-lcm@sha256:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77 \
  -i 'seed=2020353893' \
  -i 'width=1024' \
  -i 'height=1024' \
  -i '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)"' \
  -i 'scheduler="LCM"' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=2' \
  -i 'apply_watermark=true' \
  -i 'negative_prompt="(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"' \
  -i 'prompt_strength=0.8' \
  -i 'num_inference_steps=6'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/realvisxl2-lcm@sha256:479633443fc6588e1e8ae764b79cdb3702d0c196e0cb2de6db39ce577383be77
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "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
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

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

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