Prediction

Model

stability-ai/stable-diffusion:db21e45d

ddqxefjhgjeedcva656ybam6pi

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.7s

Created

over 2 years ago by bfirsh

Webhook

–

Input

prompt: alpacas with party hats and confetti
image_dimensions: 768x768
num_outputs: 1
num_inference_steps: 50
guidance_scale: 7.5
scheduler: K_EULER

{
  "guidance_scale": 7.5,
  "image_dimensions": "768x768",
  "num_inference_steps": 50,
  "num_outputs": "1",
  "prompt": "alpacas with party hats and confetti",
  "scheduler": "K_EULER"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_UOH**********************************

This is your API token. Keep it to yourself.

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

const output = await replicate.run(
  "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
  {
    input: {
      guidance_scale: 7.5,
      image_dimensions: "768x768",
      num_inference_steps: 50,
      num_outputs: "1",
      prompt: "alpacas with party hats and confetti",
      scheduler: "K_EULER"
    }
  }
);

// 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=r8_UOH**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run stability-ai/stable-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
    input={
        "guidance_scale": 7.5,
        "image_dimensions": "768x768",
        "num_inference_steps": 50,
        "num_outputs": "1",
        "prompt": "alpacas with party hats and confetti",
        "scheduler": "K_EULER"
    }
)

# 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=r8_UOH**********************************

This is your API token. Keep it to yourself.

Run stability-ai/stable-diffusion 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": "stability-ai/stable-diffusion:db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
    "input": {
      "guidance_scale": 7.5,
      "image_dimensions": "768x768",
      "num_inference_steps": 50,
      "num_outputs": "1",
      "prompt": "alpacas with party hats and confetti",
      "scheduler": "K_EULER"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "ddqxefjhgjeedcva656ybam6pi",
  "model": "stability-ai/stable-diffusion",
  "version": "db21e45d3f7023abc2a46ee38a23973f6dce16bb082a930b0c49861f96d1e5bf",
  "input": {
    "guidance_scale": 7.5,
    "image_dimensions": "768x768",
    "num_inference_steps": 50,
    "num_outputs": "1",
    "prompt": "alpacas with party hats and confetti",
    "scheduler": "K_EULER"
  },
  "logs": "Using seed: 21183\ninput_shape: torch.Size([1, 77])\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:02, 17.01it/s]\n  8%|▊         | 4/50 [00:00<00:02, 16.97it/s]\n 14%|█▍        | 7/50 [00:00<00:02, 19.13it/s]\n 20%|██        | 10/50 [00:00<00:01, 20.04it/s]\n 26%|██▌       | 13/50 [00:00<00:01, 20.56it/s]\n 32%|███▏      | 16/50 [00:00<00:01, 20.83it/s]\n 38%|███▊      | 19/50 [00:00<00:01, 21.01it/s]\n 44%|████▍     | 22/50 [00:01<00:01, 21.13it/s]\n 50%|█████     | 25/50 [00:01<00:01, 21.19it/s]\n 56%|█████▌    | 28/50 [00:01<00:01, 21.24it/s]\n 62%|██████▏   | 31/50 [00:01<00:00, 21.12it/s]\n 68%|██████▊   | 34/50 [00:01<00:00, 21.21it/s]\n 74%|███████▍  | 37/50 [00:01<00:00, 21.27it/s]\n 80%|████████  | 40/50 [00:01<00:00, 21.25it/s]\n 86%|████████▌ | 43/50 [00:02<00:00, 21.30it/s]\n 92%|█████████▏| 46/50 [00:02<00:00, 21.33it/s]\n 98%|█████████▊| 49/50 [00:02<00:00, 21.35it/s]\n100%|██████████| 50/50 [00:02<00:00, 20.89it/s]",
  "output": [
    "https://replicate.delivery/pbxt/9g70grxOV87KG9BhjBLkzwoGTAwb336P6cXDImEVaZOUpDKE/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-03-16T15:35:41.367457Z",
  "started_at": "2023-03-16T15:35:41.451596Z",
  "completed_at": "2023-03-16T15:35:45.06837Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/ddqxefjhgjeedcva656ybam6pi/cancel",
    "get": "https://api.replicate.com/v1/predictions/ddqxefjhgjeedcva656ybam6pi"
  },
  "metrics": {
    "predict_time": 3.616774,
    "total_time": 3.700913
  }
}

Generated in

3.6 seconds

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