Prediction

Model

stability-ai/stable-diffusion:d70beb40

rktab6ur7ve3dfuvh7efbo3j54

Status

Succeeded

Source

Web

Hardware

–

Total duration

12.1s

Created

over 3 years ago by bfirsh

Webhook

–

Input

prompt: a gentleman otter in a 19th century portrait
num_outputs: 1
num_inference_steps: 100
guidance_scale: 7.5

{
  "guidance_scale": 7.5,
  "num_inference_steps": 100,
  "num_outputs": 1,
  "prompt": "a gentleman otter in a 19th century portrait"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_fHv**********************************

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:d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
  {
    input: {
      guidance_scale: 7.5,
      num_inference_steps: 100,
      num_outputs: 1,
      prompt: "a gentleman otter in a 19th century portrait"
    }
  }
);

// 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_fHv**********************************

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:d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
    input={
        "guidance_scale": 7.5,
        "num_inference_steps": 100,
        "num_outputs": 1,
        "prompt": "a gentleman otter in a 19th century portrait"
    }
)

# 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_fHv**********************************

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:d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
    "input": {
      "guidance_scale": 7.5,
      "num_inference_steps": 100,
      "num_outputs": 1,
      "prompt": "a gentleman otter in a 19th century portrait"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "rktab6ur7ve3dfuvh7efbo3j54",
  "model": "stability-ai/stable-diffusion",
  "version": "d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
  "input": {
    "guidance_scale": 7.5,
    "num_inference_steps": 100,
    "num_outputs": 1,
    "prompt": "a gentleman otter in a 19th century portrait"
  },
  "logs": "Using seed: 45586\n\n0it [00:00, ?it/s]\n2it [00:00,  9.55it/s]\n3it [00:00,  8.54it/s]\n5it [00:00,  9.26it/s]\n6it [00:00,  9.27it/s]\n7it [00:00,  9.27it/s]\n8it [00:00,  9.26it/s]\n9it [00:00,  9.23it/s]\n10it [00:01,  9.12it/s]\n11it [00:01,  9.32it/s]\n12it [00:01,  9.31it/s]\n13it [00:01,  9.32it/s]\n14it [00:01,  9.30it/s]\n15it [00:01,  9.13it/s]\n16it [00:01,  9.24it/s]\n17it [00:01,  9.34it/s]\n18it [00:01,  9.29it/s]\n19it [00:02,  9.30it/s]\n20it [00:02,  9.23it/s]\n21it [00:02,  9.26it/s]\n22it [00:02,  9.29it/s]\n23it [00:02,  9.28it/s]\n24it [00:02,  9.13it/s]\n25it [00:02,  9.33it/s]\n26it [00:02,  9.30it/s]\n27it [00:02,  9.32it/s]\n28it [00:03,  9.29it/s]\n29it [00:03,  9.19it/s]\n30it [00:03,  9.27it/s]\n31it [00:03,  9.30it/s]\n32it [00:03,  9.31it/s]\n33it [00:03,  9.20it/s]\n34it [00:03,  9.33it/s]\n35it [00:03,  9.25it/s]\n36it [00:03,  9.34it/s]\n37it [00:03,  9.30it/s]\n38it [00:04,  9.16it/s]\n39it [00:04,  9.31it/s]\n40it [00:04,  9.32it/s]\n41it [00:04,  9.29it/s]\n42it [00:04,  9.32it/s]\n43it [00:04,  9.12it/s]\n44it [00:04,  9.31it/s]\n45it [00:04,  9.35it/s]\n46it [00:04,  9.33it/s]\n47it [00:05,  9.29it/s]\n48it [00:05,  9.33it/s]\n49it [00:05,  9.33it/s]\n50it [00:05,  9.26it/s]\n51it [00:05,  9.27it/s]\n52it [00:05,  9.19it/s]\n53it [00:05,  9.30it/s]\n54it [00:05,  9.20it/s]\n55it [00:05,  9.27it/s]\n56it [00:06,  9.31it/s]\n57it [00:06,  9.30it/s]\n58it [00:06,  9.23it/s]\n59it [00:06,  9.30it/s]\n60it [00:06,  9.28it/s]\n61it [00:06,  9.26it/s]\n62it [00:06,  9.34it/s]\n63it [00:06,  9.13it/s]\n64it [00:06,  9.36it/s]\n65it [00:07,  9.33it/s]\n66it [00:07,  9.32it/s]\n67it [00:07,  9.31it/s]\n68it [00:07,  9.29it/s]\n69it [00:07,  9.32it/s]\n70it [00:07,  9.22it/s]\n71it [00:07,  9.30it/s]\n72it [00:07,  9.31it/s]\n73it [00:07,  9.30it/s]\n74it [00:07,  9.31it/s]\n75it [00:08,  9.31it/s]\n76it [00:08,  9.29it/s]\n77it [00:08,  9.20it/s]\n78it [00:08,  9.30it/s]\n79it [00:08,  9.31it/s]\n80it [00:08,  9.18it/s]\n81it [00:08,  9.27it/s]\n82it [00:08,  9.32it/s]\n83it [00:08,  9.29it/s]\n84it [00:09,  9.24it/s]\n85it [00:09,  9.26it/s]\n86it [00:09,  9.28it/s]\n87it [00:09,  9.26it/s]\n88it [00:09,  9.28it/s]\n89it [00:09,  9.12it/s]\n90it [00:09,  9.32it/s]\n91it [00:09,  9.32it/s]\n92it [00:09,  8.92it/s]\n94it [00:10,  9.32it/s]\n95it [00:10,  9.37it/s]\n96it [00:10,  9.33it/s]\n97it [00:10,  9.34it/s]\n98it [00:10,  9.33it/s]\n99it [00:10,  9.33it/s]\n100it [00:10,  9.31it/s]\n100it [00:10,  9.27it/s]",
  "output": [
    "https://replicate.delivery/mgxm/8d6a8069-b91f-4e61-8136-fa7c0775532c/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2022-08-22T22:53:37.724733Z",
  "started_at": "2022-08-22T22:53:37.960962Z",
  "completed_at": "2022-08-22T22:53:49.771482Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/rktab6ur7ve3dfuvh7efbo3j54/cancel",
    "get": "https://api.replicate.com/v1/predictions/rktab6ur7ve3dfuvh7efbo3j54"
  },
  "metrics": {
    "predict_time": 11.81052,
    "total_time": 12.046749
  }
}

Generated in

11.8 seconds

Tweak it Report

Using seed: 45586 0it [00:00, ?it/s] 2it [00:00, 9.55it/s] 3it [00:00, 8.54it/s] 5it [00:00, 9.26it/s] 6it [00:00, 9.27it/s] 7it [00:00, 9.27it/s] 8it [00:00, 9.26it/s] 9it [00:00, 9.23it/s] 10it [00:01, 9.12it/s] 11it [00:01, 9.32it/s] 12it [00:01, 9.31it/s] 13it [00:01, 9.32it/s] 14it [00:01, 9.30it/s] 15it [00:01, 9.13it/s] 16it [00:01, 9.24it/s] 17it [00:01, 9.34it/s] 18it [00:01, 9.29it/s] 19it [00:02, 9.30it/s] 20it [00:02, 9.23it/s] 21it [00:02, 9.26it/s] 22it [00:02, 9.29it/s] 23it [00:02, 9.28it/s] 24it [00:02, 9.13it/s] 25it [00:02, 9.33it/s] 26it [00:02, 9.30it/s] 27it [00:02, 9.32it/s] 28it [00:03, 9.29it/s] 29it [00:03, 9.19it/s] 30it [00:03, 9.27it/s] 31it [00:03, 9.30it/s] 32it [00:03, 9.31it/s] 33it [00:03, 9.20it/s] 34it [00:03, 9.33it/s] 35it [00:03, 9.25it/s] 36it [00:03, 9.34it/s] 37it [00:03, 9.30it/s] 38it [00:04, 9.16it/s] 39it [00:04, 9.31it/s] 40it [00:04, 9.32it/s] 41it [00:04, 9.29it/s] 42it [00:04, 9.32it/s] 43it [00:04, 9.12it/s] 44it [00:04, 9.31it/s] 45it [00:04, 9.35it/s] 46it [00:04, 9.33it/s] 47it [00:05, 9.29it/s] 48it [00:05, 9.33it/s] 49it [00:05, 9.33it/s] 50it [00:05, 9.26it/s] 51it [00:05, 9.27it/s] 52it [00:05, 9.19it/s] 53it [00:05, 9.30it/s] 54it [00:05, 9.20it/s] 55it [00:05, 9.27it/s] 56it [00:06, 9.31it/s] 57it [00:06, 9.30it/s] 58it [00:06, 9.23it/s] 59it [00:06, 9.30it/s] 60it [00:06, 9.28it/s] 61it [00:06, 9.26it/s] 62it [00:06, 9.34it/s] 63it [00:06, 9.13it/s] 64it [00:06, 9.36it/s] 65it [00:07, 9.33it/s] 66it [00:07, 9.32it/s] 67it [00:07, 9.31it/s] 68it [00:07, 9.29it/s] 69it [00:07, 9.32it/s] 70it [00:07, 9.22it/s] 71it [00:07, 9.30it/s] 72it [00:07, 9.31it/s] 73it [00:07, 9.30it/s] 74it [00:07, 9.31it/s] 75it [00:08, 9.31it/s] 76it [00:08, 9.29it/s] 77it [00:08, 9.20it/s] 78it [00:08, 9.30it/s] 79it [00:08, 9.31it/s] 80it [00:08, 9.18it/s] 81it [00:08, 9.27it/s] 82it [00:08, 9.32it/s] 83it [00:08, 9.29it/s] 84it [00:09, 9.24it/s] 85it [00:09, 9.26it/s] 86it [00:09, 9.28it/s] 87it [00:09, 9.26it/s] 88it [00:09, 9.28it/s] 89it [00:09, 9.12it/s] 90it [00:09, 9.32it/s] 91it [00:09, 9.32it/s] 92it [00:09, 8.92it/s] 94it [00:10, 9.32it/s] 95it [00:10, 9.37it/s] 96it [00:10, 9.33it/s] 97it [00:10, 9.34it/s] 98it [00:10, 9.33it/s] 99it [00:10, 9.33it/s] 100it [00:10, 9.31it/s] 100it [00:10, 9.27it/s]