afiaka87/sd-aesthetic-guidance:1af76e80 – Run with an API on Replicate

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afiaka87 /sd-aesthetic-guidance:1af76e80

Playground API

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: ""

aesthetic_rating

integer

(minimum: 1, maximum: 9)

An aesthetic 'rating' from 1 - 9 (1 is the lowest, 9 is the highest). 9 is mostly art and will tend to do a painting style more often. 6 - 8 tend to work well.

Default: 8

aesthetic_weight

number

(minimum: 0, maximum: 1)

How much of the aesthetic CLIP embed should be subtracted from the unconditional latent. 0.0 will disable aesthetic guidance. Going above 0.2 tends to produce artifacts and highly abstract/simplified visuals.

Default: 0.1

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

init_image

file

Inital image to generate variations of. Will be resized to the specified width and height

mask

file

Black and white image to use as mask for inpainting over init_image. Black pixels are inpainted and white pixels are preserved. Experimental feature, tends to work better with prompt strength of 0.5-0.7

prompt_strength

number

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

Default: 0.8

num_outputs

integer

Number of images to output

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Random seed. Leave blank to randomize the seed

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

npx create-replicate --model=afiaka87/sd-aesthetic-guidance

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 afiaka87/sd-aesthetic-guidance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "afiaka87/sd-aesthetic-guidance:1af76e8016e3eaca8d9b053220e3fe3c49f1e770031c6ac6c5ce5fc7a3b115e8",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "an image of a scissors",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      aesthetic_rating: 8,
      aesthetic_weight: 0.2,
      num_inference_steps: 90
    }
  }
);

// 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 afiaka87/sd-aesthetic-guidance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "afiaka87/sd-aesthetic-guidance:1af76e8016e3eaca8d9b053220e3fe3c49f1e770031c6ac6c5ce5fc7a3b115e8",
    input={
        "width": 512,
        "height": 512,
        "prompt": "an image of a scissors",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "prompt_strength": 0.8,
        "aesthetic_rating": 8,
        "aesthetic_weight": 0.2,
        "num_inference_steps": 90
    }
)
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 afiaka87/sd-aesthetic-guidance 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": "afiaka87/sd-aesthetic-guidance:1af76e8016e3eaca8d9b053220e3fe3c49f1e770031c6ac6c5ce5fc7a3b115e8",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "an image of a scissors",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "prompt_strength": 0.8,
      "aesthetic_rating": 8,
      "aesthetic_weight": 0.2,
      "num_inference_steps": 90
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-09-03T01:38:12.276666Z",
  "created_at": "2022-09-03T01:38:04.684594Z",
  "data_removed": false,
  "error": null,
  "id": "wnuakmdzg5cldco2vqleeiykku",
  "input": {
    "width": 512,
    "height": 512,
    "prompt": "an image of a scissors",
    "num_outputs": 1,
    "guidance_scale": 7.5,
    "prompt_strength": 0.8,
    "aesthetic_rating": "8",
    "aesthetic_weight": "0.2",
    "num_inference_steps": "90"
  },
  "logs": "Using seed: 36715\n\n0it [00:00, ?it/s]\n2it [00:00, 13.44it/s]\n4it [00:00, 13.10it/s]\n6it [00:00, 13.38it/s]\n8it [00:00, 13.53it/s]\n10it [00:00, 13.55it/s]\n12it [00:00, 13.59it/s]\n14it [00:01, 13.68it/s]\n16it [00:01, 13.51it/s]\n18it [00:01, 13.66it/s]\n20it [00:01, 13.77it/s]\n22it [00:01, 13.84it/s]\n24it [00:01, 13.90it/s]\n26it [00:01, 13.81it/s]\n28it [00:02, 13.76it/s]\n30it [00:02, 13.79it/s]\n32it [00:02, 13.52it/s]\n34it [00:02, 13.67it/s]\n36it [00:02, 13.76it/s]\n38it [00:02, 13.38it/s]\n40it [00:02, 13.53it/s]\n42it [00:03, 13.58it/s]\n44it [00:03, 13.55it/s]\n46it [00:03, 13.60it/s]\n48it [00:03, 13.64it/s]\n50it [00:03, 13.56it/s]\n52it [00:03, 13.61it/s]\n54it [00:03, 13.39it/s]\n56it [00:04, 13.43it/s]\n58it [00:04, 13.54it/s]\n60it [00:04, 13.62it/s]\n62it [00:04, 13.70it/s]\n64it [00:04, 13.76it/s]\n66it [00:04, 13.57it/s]\n68it [00:04, 13.66it/s]\n70it [00:05, 13.67it/s]\n72it [00:05, 13.70it/s]\n74it [00:05, 13.79it/s]\n76it [00:05, 13.79it/s]\n78it [00:05, 13.40it/s]\n80it [00:05, 13.49it/s]\n82it [00:06, 13.55it/s]\n84it [00:06, 13.64it/s]\n86it [00:06, 13.74it/s]\n88it [00:06, 13.64it/s]\n90it [00:06, 13.61it/s]\n90it [00:06, 13.62it/s]",
  "metrics": {
    "predict_time": 7.420751,
    "total_time": 7.592072
  },
  "output": [
    "https://replicate.delivery/mgxm/43afdbae-2343-4c99-8cc3-ba876820c0fa/out-0.png"
  ],
  "started_at": "2022-09-03T01:38:04.855915Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/wnuakmdzg5cldco2vqleeiykku",
    "cancel": "https://api.replicate.com/v1/predictions/wnuakmdzg5cldco2vqleeiykku/cancel"
  },
  "version": "1af76e8016e3eaca8d9b053220e3fe3c49f1e770031c6ac6c5ce5fc7a3b115e8"
}

Generated in

7.4 seconds

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