lucataco/musubi-tuner-lora-converter:c500c52c – Run with an API on Replicate

Version

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lucataco /musubi-tuner-lora-converter:c500c52c

Playground API

Input

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

npx create-replicate --model=lucataco/musubi-tuner-lora-converter

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/musubi-tuner-lora-converter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/musubi-tuner-lora-converter:c500c52cbc29dbed282623daf0814d361e12c52665554ca984c375a8d1bac153",
  {
    input: {
      hf_token: "",
      hub_model_id: "",
      target_format: "default"
    }
  }
);
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/musubi-tuner-lora-converter using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/musubi-tuner-lora-converter:c500c52cbc29dbed282623daf0814d361e12c52665554ca984c375a8d1bac153",
    input={
        "hf_token": "",
        "hub_model_id": "",
        "target_format": "default"
    }
)
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/musubi-tuner-lora-converter 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": "c500c52cbc29dbed282623daf0814d361e12c52665554ca984c375a8d1bac153",
    "input": {
      "hf_token": "",
      "hub_model_id": "",
      "target_format": "default"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run lucataco/musubi-tuner-lora-converter using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/lucataco/musubi-tuner-lora-converter@sha256:c500c52cbc29dbed282623daf0814d361e12c52665554ca984c375a8d1bac153 \
  -i 'hf_token=""' \
  -i 'hub_model_id=""' \
  -i 'target_format="default"'

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

Pull and run lucataco/musubi-tuner-lora-converter using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 r8.im/lucataco/musubi-tuner-lora-converter@sha256:c500c52cbc29dbed282623daf0814d361e12c52665554ca984c375a8d1bac153
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "hf_token": "",
      "hub_model_id": "",
      "target_format": "default"
    }
  }' \
  http://localhost:5000/predictions

Output

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