Prediction

orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4

Model

orpatashnik/styleclip:4d237cf8

ID

on3etzbv2vgzrh5vfdckrnhzla

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago by @andreasjansson

Input

input
target: a face with a bowlcut
neutral: a face
manipulation_strength: "4.1"
disentanglement_threshold: "0.15"

{
  "input": "https://replicate.delivery/mgxm/d7df95aa-ffeb-4754-ba5e-b76b2eea5238/67.jpg",
  "target": "a face with a bowlcut",
  "neutral": "a face",
  "manipulation_strength": "4.1",
  "disentanglement_threshold": "0.15"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run orpatashnik/styleclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
  {
    input: {
      input: "https://replicate.delivery/mgxm/d7df95aa-ffeb-4754-ba5e-b76b2eea5238/67.jpg",
      target: "a face with a bowlcut",
      neutral: "a face",
      manipulation_strength: "4.1",
      disentanglement_threshold: "0.15"
    }
  }
);

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

Import the client:

import replicate

Run orpatashnik/styleclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
    input={
        "input": "https://replicate.delivery/mgxm/d7df95aa-ffeb-4754-ba5e-b76b2eea5238/67.jpg",
        "target": "a face with a bowlcut",
        "neutral": "a face",
        "manipulation_strength": "4.1",
        "disentanglement_threshold": "0.15"
    }
)

# The orpatashnik/styleclip model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/orpatashnik/styleclip/api#output-schema
    print(item)

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

Run orpatashnik/styleclip 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": "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
    "input": {
      "input": "https://replicate.delivery/mgxm/d7df95aa-ffeb-4754-ba5e-b76b2eea5238/67.jpg",
      "target": "a face with a bowlcut",
      "neutral": "a face",
      "manipulation_strength": "4.1",
      "disentanglement_threshold": "0.15"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

Prediction

orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4

Model

orpatashnik/styleclip:4d237cf8

ID

yfipexe3urgg3pea3vz5nclpc4

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago by @andreasjansson

Input

input
target: a smiling face
neutral: a face
manipulation_strength: "4.1"
disentanglement_threshold: "0.15"

{
  "input": "https://replicate.delivery/mgxm/8fb1fdec-442b-4524-b534-ddaa6f84c0d1/ansikte.jpg",
  "target": "a smiling face",
  "neutral": "a face",
  "manipulation_strength": "4.1",
  "disentanglement_threshold": "0.15"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run orpatashnik/styleclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
  {
    input: {
      input: "https://replicate.delivery/mgxm/8fb1fdec-442b-4524-b534-ddaa6f84c0d1/ansikte.jpg",
      target: "a smiling face",
      neutral: "a face",
      manipulation_strength: "4.1",
      disentanglement_threshold: "0.15"
    }
  }
);

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

Import the client:

import replicate

Run orpatashnik/styleclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
    input={
        "input": "https://replicate.delivery/mgxm/8fb1fdec-442b-4524-b534-ddaa6f84c0d1/ansikte.jpg",
        "target": "a smiling face",
        "neutral": "a face",
        "manipulation_strength": "4.1",
        "disentanglement_threshold": "0.15"
    }
)

# The orpatashnik/styleclip model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/orpatashnik/styleclip/api#output-schema
    print(item)

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

Run orpatashnik/styleclip 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": "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
    "input": {
      "input": "https://replicate.delivery/mgxm/8fb1fdec-442b-4524-b534-ddaa6f84c0d1/ansikte.jpg",
      "target": "a smiling face",
      "neutral": "a face",
      "manipulation_strength": "4.1",
      "disentanglement_threshold": "0.15"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

Prediction

orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4

Model

orpatashnik/styleclip:4d237cf8

ID

43vq4ur2ajcrfgxmuvsv6ggcn4

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago by @andreasjansson

Input

input
target: a female face
neutral: a male face
manipulation_strength: "4.0"
disentanglement_threshold: "0.3"

{
  "input": "https://replicate.delivery/mgxm/d5433c47-10c7-4966-af55-a871173e8cb8/61.jpg",
  "target": "a female face",
  "neutral": "a male face",
  "manipulation_strength": "4.0",
  "disentanglement_threshold": "0.3"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run orpatashnik/styleclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
  {
    input: {
      input: "https://replicate.delivery/mgxm/d5433c47-10c7-4966-af55-a871173e8cb8/61.jpg",
      target: "a female face",
      neutral: "a male face",
      manipulation_strength: "4.0",
      disentanglement_threshold: "0.3"
    }
  }
);

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

Import the client:

import replicate

Run orpatashnik/styleclip using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
    input={
        "input": "https://replicate.delivery/mgxm/d5433c47-10c7-4966-af55-a871173e8cb8/61.jpg",
        "target": "a female face",
        "neutral": "a male face",
        "manipulation_strength": "4.0",
        "disentanglement_threshold": "0.3"
    }
)

# The orpatashnik/styleclip model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/orpatashnik/styleclip/api#output-schema
    print(item)

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

Run orpatashnik/styleclip 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": "orpatashnik/styleclip:4d237cf88b5d57336b1892d60e704738dbfeade39c013a1a9cbe92a7006e0ac4",
    "input": {
      "input": "https://replicate.delivery/mgxm/d5433c47-10c7-4966-af55-a871173e8cb8/61.jpg",
      "target": "a female face",
      "neutral": "a male face",
      "manipulation_strength": "4.0",
      "disentanglement_threshold": "0.3"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it ShareReport

orpatashnik / styleclip

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (on3etzbv2vgzrh5vfdckrnhzla)

Logs (yfipexe3urgg3pea3vz5nclpc4)

Logs (43vq4ur2ajcrfgxmuvsv6ggcn4)