lambdal / stable-diffusion-image-variation

Image Variations with Stable Diffusion

Warm

Public
366.2K runs
T4
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

lambdal/stable-diffusion-image-variation:7c399ba0

Model

lambdal/stable-diffusion-image-variation:7c399ba0

dtknak46pnawhjvt32equoumm4

Status

Succeeded

Source

Web

Hardware

–

Total duration

7.1s

Created

over 2 years ago by @justinpinkney

Input

input_image
num_outputs: "1"
guidance_scale: "5"
num_inference_steps: "25"

{
  "input_image": "https://replicate.delivery/pbxt/Hx7Lz9S1R56PHHotowtxAqDL8QYcB3pcb9qLUxM2zjA59J8d/ghibli.jpg",
  "num_outputs": "1",
  "guidance_scale": "5",
  "num_inference_steps": "25"
}

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 lambdal/stable-diffusion-image-variation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lambdal/stable-diffusion-image-variation:7c399ba0e1b33ed8ec39ed30eb6b0a2d9e054462543c428c251293034af82a8e",
  {
    input: {
      input_image: "https://replicate.delivery/pbxt/Hx7Lz9S1R56PHHotowtxAqDL8QYcB3pcb9qLUxM2zjA59J8d/ghibli.jpg",
      num_outputs: "1",
      guidance_scale: "5",
      num_inference_steps: "25"
    }
  }
);
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 lambdal/stable-diffusion-image-variation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lambdal/stable-diffusion-image-variation:7c399ba0e1b33ed8ec39ed30eb6b0a2d9e054462543c428c251293034af82a8e",
    input={
        "input_image": "https://replicate.delivery/pbxt/Hx7Lz9S1R56PHHotowtxAqDL8QYcB3pcb9qLUxM2zjA59J8d/ghibli.jpg",
        "num_outputs": "1",
        "guidance_scale": "5",
        "num_inference_steps": "25"
    }
)
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 lambdal/stable-diffusion-image-variation 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": "7c399ba0e1b33ed8ec39ed30eb6b0a2d9e054462543c428c251293034af82a8e",
    "input": {
      "input_image": "https://replicate.delivery/pbxt/Hx7Lz9S1R56PHHotowtxAqDL8QYcB3pcb9qLUxM2zjA59J8d/ghibli.jpg",
      "num_outputs": "1",
      "guidance_scale": "5",
      "num_inference_steps": "25"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2022-12-13T15:14:28.551533Z",
  "created_at": "2022-12-13T15:14:21.499369Z",
  "data_removed": false,
  "error": null,
  "id": "dtknak46pnawhjvt32equoumm4",
  "input": {
    "input_image": "https://replicate.delivery/pbxt/Hx7Lz9S1R56PHHotowtxAqDL8QYcB3pcb9qLUxM2zjA59J8d/ghibli.jpg",
    "num_outputs": "1",
    "guidance_scale": "5",
    "num_inference_steps": "25"
  },
  "logs": "Using seed: 58195\n  0%|          | 0/25 [00:00<?, ?it/s]\n  4%|▍         | 1/25 [00:00<00:13,  1.80it/s]\n  8%|▊         | 2/25 [00:00<00:08,  2.75it/s]\n 12%|█▏        | 3/25 [00:01<00:06,  3.30it/s]\n 16%|█▌        | 4/25 [00:01<00:05,  3.65it/s]\n 20%|██        | 5/25 [00:01<00:05,  3.87it/s]\n 24%|██▍       | 6/25 [00:01<00:04,  4.02it/s]\n 28%|██▊       | 7/25 [00:01<00:04,  4.12it/s]\n 32%|███▏      | 8/25 [00:02<00:04,  4.20it/s]\n 36%|███▌      | 9/25 [00:02<00:03,  4.23it/s]\n 40%|████      | 10/25 [00:02<00:03,  4.26it/s]\n 44%|████▍     | 11/25 [00:02<00:03,  4.27it/s]\n 48%|████▊     | 12/25 [00:03<00:03,  4.30it/s]\n 52%|█████▏    | 13/25 [00:03<00:02,  4.32it/s]\n 56%|█████▌    | 14/25 [00:03<00:02,  4.31it/s]\n 60%|██████    | 15/25 [00:03<00:02,  4.32it/s]\n 64%|██████▍   | 16/25 [00:04<00:02,  4.32it/s]\n 68%|██████▊   | 17/25 [00:04<00:01,  4.32it/s]\n 72%|███████▏  | 18/25 [00:04<00:01,  4.32it/s]\n 76%|███████▌  | 19/25 [00:04<00:01,  4.32it/s]\n 80%|████████  | 20/25 [00:04<00:01,  4.32it/s]\n 84%|████████▍ | 21/25 [00:05<00:00,  4.32it/s]\n 88%|████████▊ | 22/25 [00:05<00:00,  4.32it/s]\n 92%|█████████▏| 23/25 [00:05<00:00,  4.30it/s]\n 96%|█████████▌| 24/25 [00:05<00:00,  4.33it/s]\n100%|██████████| 25/25 [00:06<00:00,  4.34it/s]\n100%|██████████| 25/25 [00:06<00:00,  4.10it/s]",
  "metrics": {
    "predict_time": 7.010246,
    "total_time": 7.052164
  },
  "output": [
    "https://replicate.delivery/pbxt/NuOwoYY7FqpeP6IhoLff40iY7gisZV9GZyhyCAqu5SqpGJTgA/out-0.png"
  ],
  "started_at": "2022-12-13T15:14:21.541287Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/dtknak46pnawhjvt32equoumm4",
    "cancel": "https://api.replicate.com/v1/predictions/dtknak46pnawhjvt32equoumm4/cancel"
  },
  "version": "7c399ba0e1b33ed8ec39ed30eb6b0a2d9e054462543c428c251293034af82a8e"
}

Generated in

7.0 seconds

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