Prediction

Model

stability-ai/stable-diffusion:f178fa7a

ixfnjezokrgq7ly23rdhl427cq

Status

Succeeded

Source

Web

Hardware

–

Total duration

18.0s

Created

almost 3 years ago by jakedahn

Webhook

–

Input

prompt: Jake Dahn riding a horse on mars, drawing, sketch, pencil
width: 512
height: 512
prompt_strength: 0.8
num_outputs: 4
num_inference_steps: 50
guidance_scale: 7.5
scheduler: K_EULER

{
  "guidance_scale": 7.5,
  "height": "512",
  "num_inference_steps": 50,
  "num_outputs": "4",
  "prompt": "Jake Dahn riding a horse on mars, drawing, sketch, pencil",
  "prompt_strength": 0.8,
  "scheduler": "K_EULER",
  "width": "512"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_c2t**********************************

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:f178fa7a1ae43a9a9af01b833b9d2ecf97b1bcb0acfd2dc5dd04895e042863f1",
  {
    input: {
      guidance_scale: 7.5,
      height: "512",
      num_inference_steps: 50,
      num_outputs: "4",
      prompt: "Jake Dahn riding a horse on mars, drawing, sketch, pencil",
      prompt_strength: 0.8,
      scheduler: "K_EULER",
      width: "512"
    }
  }
);

// 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_c2t**********************************

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:f178fa7a1ae43a9a9af01b833b9d2ecf97b1bcb0acfd2dc5dd04895e042863f1",
    input={
        "guidance_scale": 7.5,
        "height": "512",
        "num_inference_steps": 50,
        "num_outputs": "4",
        "prompt": "Jake Dahn riding a horse on mars, drawing, sketch, pencil",
        "prompt_strength": 0.8,
        "scheduler": "K_EULER",
        "width": "512"
    }
)

# 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_c2t**********************************

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:f178fa7a1ae43a9a9af01b833b9d2ecf97b1bcb0acfd2dc5dd04895e042863f1",
    "input": {
      "guidance_scale": 7.5,
      "height": "512",
      "num_inference_steps": 50,
      "num_outputs": "4",
      "prompt": "Jake Dahn riding a horse on mars, drawing, sketch, pencil",
      "prompt_strength": 0.8,
      "scheduler": "K_EULER",
      "width": "512"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "ixfnjezokrgq7ly23rdhl427cq",
  "model": "stability-ai/stable-diffusion",
  "version": "f178fa7a1ae43a9a9af01b833b9d2ecf97b1bcb0acfd2dc5dd04895e042863f1",
  "input": {
    "guidance_scale": 7.5,
    "height": "512",
    "num_inference_steps": 50,
    "num_outputs": "4",
    "prompt": "Jake Dahn riding a horse on mars, drawing, sketch, pencil",
    "prompt_strength": 0.8,
    "scheduler": "K_EULER",
    "width": "512"
  },
  "logs": "Using seed: 3526\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:15,  3.12it/s]\n  4%|▍         | 2/50 [00:00<00:14,  3.26it/s]\n  6%|▌         | 3/50 [00:00<00:14,  3.30it/s]\n  8%|▊         | 4/50 [00:01<00:13,  3.32it/s]\n 10%|█         | 5/50 [00:01<00:13,  3.33it/s]\n 12%|█▏        | 6/50 [00:01<00:13,  3.34it/s]\n 14%|█▍        | 7/50 [00:02<00:12,  3.35it/s]\n 16%|█▌        | 8/50 [00:02<00:12,  3.35it/s]\n 18%|█▊        | 9/50 [00:02<00:12,  3.35it/s]\n 20%|██        | 10/50 [00:03<00:11,  3.36it/s]\n 22%|██▏       | 11/50 [00:03<00:11,  3.36it/s]\n 24%|██▍       | 12/50 [00:03<00:11,  3.36it/s]\n 26%|██▌       | 13/50 [00:03<00:11,  3.36it/s]\n 28%|██▊       | 14/50 [00:04<00:10,  3.36it/s]\n 30%|███       | 15/50 [00:04<00:10,  3.36it/s]\n 32%|███▏      | 16/50 [00:04<00:10,  3.36it/s]\n 34%|███▍      | 17/50 [00:05<00:09,  3.36it/s]\n 36%|███▌      | 18/50 [00:05<00:09,  3.36it/s]\n 38%|███▊      | 19/50 [00:05<00:09,  3.36it/s]\n 40%|████      | 20/50 [00:05<00:08,  3.36it/s]\n 42%|████▏     | 21/50 [00:06<00:08,  3.36it/s]\n 44%|████▍     | 22/50 [00:06<00:08,  3.36it/s]\n 46%|████▌     | 23/50 [00:06<00:08,  3.36it/s]\n 48%|████▊     | 24/50 [00:07<00:07,  3.36it/s]\n 50%|█████     | 25/50 [00:07<00:07,  3.36it/s]\n 52%|█████▏    | 26/50 [00:07<00:07,  3.36it/s]\n 54%|█████▍    | 27/50 [00:08<00:06,  3.37it/s]\n 56%|█████▌    | 28/50 [00:08<00:06,  3.37it/s]\n 58%|█████▊    | 29/50 [00:08<00:06,  3.37it/s]\n 60%|██████    | 30/50 [00:08<00:05,  3.37it/s]\n 62%|██████▏   | 31/50 [00:09<00:05,  3.37it/s]\n 64%|██████▍   | 32/50 [00:09<00:05,  3.37it/s]\n 66%|██████▌   | 33/50 [00:09<00:05,  3.37it/s]\n 68%|██████▊   | 34/50 [00:10<00:04,  3.37it/s]\n 70%|███████   | 35/50 [00:10<00:04,  3.37it/s]\n 72%|███████▏  | 36/50 [00:10<00:04,  3.37it/s]\n 74%|███████▍  | 37/50 [00:11<00:03,  3.37it/s]\n 76%|███████▌  | 38/50 [00:11<00:03,  3.37it/s]\n 78%|███████▊  | 39/50 [00:11<00:03,  3.37it/s]\n 80%|████████  | 40/50 [00:11<00:02,  3.37it/s]\n 82%|████████▏ | 41/50 [00:12<00:02,  3.37it/s]\n 84%|████████▍ | 42/50 [00:12<00:02,  3.37it/s]\n 86%|████████▌ | 43/50 [00:12<00:02,  3.37it/s]\n 88%|████████▊ | 44/50 [00:13<00:01,  3.37it/s]\n 90%|█████████ | 45/50 [00:13<00:01,  3.37it/s]\n 92%|█████████▏| 46/50 [00:13<00:01,  3.37it/s]\n 94%|█████████▍| 47/50 [00:13<00:00,  3.37it/s]\n 96%|█████████▌| 48/50 [00:14<00:00,  3.37it/s]\n 98%|█████████▊| 49/50 [00:14<00:00,  3.37it/s]\n100%|██████████| 50/50 [00:14<00:00,  3.37it/s]\n100%|██████████| 50/50 [00:14<00:00,  3.36it/s]",
  "output": [
    "https://replicate.delivery/pbxt/XMt5edxKqITuOCgkdMPJBIUsNfybgCmA5yY9CWY4hjefAy6BB/out-0.png",
    "https://replicate.delivery/pbxt/V9k7SthoUgbsPd4I1mrXYnz7bgrFi2tM1QieHfhxCryPgsegA/out-1.png",
    "https://replicate.delivery/pbxt/WnSDUy0kzm72JNcUWKC2B4jWP9sjzzUGfBsXDx13dybIQWPIA/out-2.png",
    "https://replicate.delivery/pbxt/AAMgrbHrXKKROtXjcdeviVzcxVlvvf0m4IzeSXYiZZjiAZ9gA/out-3.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2023-02-15T17:27:27.279828Z",
  "started_at": "2023-02-15T17:27:27.344313Z",
  "completed_at": "2023-02-15T17:27:45.254049Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/ixfnjezokrgq7ly23rdhl427cq/cancel",
    "get": "https://api.replicate.com/v1/predictions/ixfnjezokrgq7ly23rdhl427cq"
  },
  "metrics": {
    "predict_time": 17.909736,
    "total_time": 17.974221
  }
}

Generated in

17.9 seconds

Tweak it Report

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