afiaka87

sd-aesthetic-guidance

Cold

Use stable diffusion and aesthetic CLIP embeddings to guide boring outputs to be more aesthetically pleasing.

Public

4.3K runs

A100 (80GB)

Run with an API

Pricing

GitHub

Playground API Examples README Versions

Prediction

afiaka87/sd-aesthetic-guidance:1af76e8016e3eaca8d9b053220e3fe3c49f1e770031c6ac6c5ce5fc7a3b115e8

Model

afiaka87/sd-aesthetic-guidance:1af76e80

wnuakmdzg5cldco2vqleeiykku

Status

Succeeded

Source

Web

Hardware

–

Total duration

7.6s

Created

almost 3 years ago

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"

{
  "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"
}

Install Replicate’s Node.js client library:

npm install replicate

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 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

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"
    }
)

# 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.

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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