Prediction

Model

genkernel/headshot-public:f889ba01

5d3okudbswu62w42mvqnvp72mi

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

16.1s

Created

about 2 years ago

Webhook

–

Input

prompt: full body, a photo of TOK, bald, dressed as a jedi from star wars, RAW photo, subject, 8k uhd, dslr, soft lighting, high quality, clearly face, clear facial features, 35mm lens, f/1.8, natural lighting, global illumination
negative_prompt: worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch, text, watermark, medium quality, blurry, censored, wrinkles, deformed, mutated text, watermark
width: 1024
height: 1024
num_outputs: 1
scheduler: K_EULER_ANCESTRAL
num_inference_steps: 50
guidance_scale: 8.5
prompt_strength: 0.8
refine: no_refiner
high_noise_frac: 0.9
refine_steps: null
apply_watermark: false
lora_scale: 0.8

{
  "apply_watermark": false,
  "guidance_scale": 8.5,
  "height": 1024,
  "high_noise_frac": 0.9,
  "lora_scale": 0.8,
  "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch, text, watermark, medium quality, blurry, censored, wrinkles,  \ndeformed, mutated text, watermark",
  "num_inference_steps": 50,
  "num_outputs": 1,
  "prompt": "full body, a photo of TOK, bald, dressed as a jedi from star wars, RAW photo, subject, 8k uhd, dslr, soft lighting, high quality, clearly face, clear facial features, 35mm lens, f/1.8, natural lighting, global illumination",
  "prompt_strength": 0.8,
  "refine": "no_refiner",
  "refine_steps": null,
  "scheduler": "K_EULER_ANCESTRAL",
  "width": 1024
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_c5c**********************************

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

const output = await replicate.run(
  "genkernel/headshot-public:f889ba013f4785999ac7c260c556e8af4591385fe6e9d269f04098b5f0e7293e",
  {
    input: {
      apply_watermark: false,
      guidance_scale: 8.5,
      height: 1024,
      high_noise_frac: 0.9,
      lora_scale: 0.8,
      negative_prompt: "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch, text, watermark, medium quality, blurry, censored, wrinkles,  \ndeformed, mutated text, watermark",
      num_inference_steps: 50,
      num_outputs: 1,
      prompt: "full body, a photo of TOK, bald, dressed as a jedi from star wars, RAW photo, subject, 8k uhd, dslr, soft lighting, high quality, clearly face, clear facial features, 35mm lens, f/1.8, natural lighting, global illumination",
      prompt_strength: 0.8,
      refine: "no_refiner",
      scheduler: "K_EULER_ANCESTRAL",
      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_c5c**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run genkernel/headshot-public using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "genkernel/headshot-public:f889ba013f4785999ac7c260c556e8af4591385fe6e9d269f04098b5f0e7293e",
    input={
        "apply_watermark": False,
        "guidance_scale": 8.5,
        "height": 1024,
        "high_noise_frac": 0.9,
        "lora_scale": 0.8,
        "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch, text, watermark, medium quality, blurry, censored, wrinkles,  \ndeformed, mutated text, watermark",
        "num_inference_steps": 50,
        "num_outputs": 1,
        "prompt": "full body, a photo of TOK, bald, dressed as a jedi from star wars, RAW photo, subject, 8k uhd, dslr, soft lighting, high quality, clearly face, clear facial features, 35mm lens, f/1.8, natural lighting, global illumination",
        "prompt_strength": 0.8,
        "refine": "no_refiner",
        "scheduler": "K_EULER_ANCESTRAL",
        "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_c5c**********************************

This is your API token. Keep it to yourself.

Run genkernel/headshot-public 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": "genkernel/headshot-public:f889ba013f4785999ac7c260c556e8af4591385fe6e9d269f04098b5f0e7293e",
    "input": {
      "apply_watermark": false,
      "guidance_scale": 8.5,
      "height": 1024,
      "high_noise_frac": 0.9,
      "lora_scale": 0.8,
      "negative_prompt": "worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch, text, watermark, medium quality, blurry, censored, wrinkles,  \\ndeformed, mutated text, watermark",
      "num_inference_steps": 50,
      "num_outputs": 1,
      "prompt": "full body, a photo of TOK, bald, dressed as a jedi from star wars, RAW photo, subject, 8k uhd, dslr, soft lighting, high quality, clearly face, clear facial features, 35mm lens, f/1.8, natural lighting, global illumination",
      "prompt_strength": 0.8,
      "refine": "no_refiner",
      "scheduler": "K_EULER_ANCESTRAL",
      "width": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

14.9 seconds

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