zhouhaojiang/majicmix_with_lora:f34b2c67 | Run with an API on Replicate

Version

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zhouhaojiang /majicmix_with_lora:f34b2c67

Input

prompt

string

Shift + Return to add a new line

1girl,face,curly hair,red hair,white background1girl,face,curly hair,red hair,white background

Input prompt. The model will generate an image based on this prompt.

Default: "1girl,face,curly hair,red hair,white background"

negative_prompt

string

Shift + Return to add a new line

Specify things to not see in the output

Default: "nsfw"

width

integer

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

height

integer

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits

Default: 512

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps.Recommend 25~35

Default: 30

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

image

string

Shift + Return to add a new line

(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.Just One

mask

string

Shift + Return to add a new line

Black and white image to use as mask for inpainting over the image provided. White pixels are inpainted and black pixels are preserved

prompt_strength

number

(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image

Default: 0.8

scheduler

string

Choose a scheduler.

Default: "DPMSolverMultistep"

lora_urls

string

Shift + Return to add a new line

List of urls for safetensors of lora models, seperated with | .

Default: ""

lora_scales

string

Shift + Return to add a new line

List of scales for safetensors of lora models, seperated with |

Default: "0.5"

seed

integer

Random seed. Leave blank to randomize the seed

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](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=zhouhaojiang/majicmix_with_lora

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";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "zhouhaojiang/majicmix_with_lora:f34b2c67eab9b82a16914d6e5c8b90e14d8ef45b1ef694258b06e99249f26c18",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "1girl,face,curly hair,red hair,white background",
      lora_urls: "",
      scheduler: "DPMSolverMultistep",
      lora_scales: "0.5",
      num_outputs: 1,
      guidance_scale: 7.5,
      negative_prompt: "nsfw",
      prompt_strength: 0.8,
      num_inference_steps: 30
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

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

output = replicate.run(
    "zhouhaojiang/majicmix_with_lora:f34b2c67eab9b82a16914d6e5c8b90e14d8ef45b1ef694258b06e99249f26c18",
    input={
        "width": 512,
        "height": 512,
        "prompt": "1girl,face,curly hair,red hair,white background",
        "lora_urls": "",
        "scheduler": "DPMSolverMultistep",
        "lora_scales": "0.5",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "negative_prompt": "nsfw",
        "prompt_strength": 0.8,
        "num_inference_steps": 30
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run zhouhaojiang/majicmix_with_lora 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": "zhouhaojiang/majicmix_with_lora:f34b2c67eab9b82a16914d6e5c8b90e14d8ef45b1ef694258b06e99249f26c18",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "1girl,face,curly hair,red hair,white background",
      "lora_urls": "",
      "scheduler": "DPMSolverMultistep",
      "lora_scales": "0.5",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "negative_prompt": "nsfw",
      "prompt_strength": 0.8,
      "num_inference_steps": 30
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.