lucataco/stable-diffusion-3.5-large-lora:e92d8a87

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lucataco /stable-diffusion-3.5-large-lora:e92d8a87

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: ""

aspect_ratio

string

Aspect ratio for the generated image

Default: "1:1"

guidance_scale

number

(minimum: 0, maximum: 20)

Scale for classifier-free guidance

Default: 4.5

image

file

Input image for img2img mode

prompt_strength

number

(minimum: 0, maximum: 1)

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

Default: 0.7

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps. Recommended range is 28-50

Default: 28

seed

integer

Random seed. Leave blank to randomize the seed

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs

Default: 80

hf_lora

string

Shift + Return to add a new line

Full URL to Huggingface LoRA, CivitAI URL, or URL to a .safetensors file

lora_scale

number

(minimum: 0, maximum: 1)

Scale for the LoRA weights

Default: 0.8

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=lucataco/stable-diffusion-3.5-large-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 lucataco/stable-diffusion-3.5-large-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/stable-diffusion-3.5-large-lora:e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef",
  {
    input: {
      prompt: "",
      lora_scale: 0.8,
      aspect_ratio: "1:1",
      output_format: "webp",
      guidance_scale: 4.5,
      output_quality: 80,
      prompt_strength: 0.7,
      num_inference_steps: 28
    }
  }
);

// 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 lucataco/stable-diffusion-3.5-large-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/stable-diffusion-3.5-large-lora:e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef",
    input={
        "prompt": "",
        "lora_scale": 0.8,
        "aspect_ratio": "1:1",
        "output_format": "webp",
        "guidance_scale": 4.5,
        "output_quality": 80,
        "prompt_strength": 0.7,
        "num_inference_steps": 28
    }
)
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/stable-diffusion-3.5-large-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": "lucataco/stable-diffusion-3.5-large-lora:e92d8a8795c03453bbbe197f795bc0fef4a21e6ad6a6ae319097038812c71eef",
    "input": {
      "prompt": "",
      "lora_scale": 0.8,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 4.5,
      "output_quality": 80,
      "prompt_strength": 0.7,
      "num_inference_steps": 28
    }
  }' \
  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.