Prediction

Model

stability-ai/stable-diffusion:d70beb40

qffyxjvmbvfdbao7vvv2oss2gq

Status

Succeeded

Source

Web

Hardware

–

Total duration

11.1s

Created

over 3 years ago by bfirsh

Webhook

–

Input

prompt: multicolor hyperspace
num_outputs: 1
num_inference_steps: 50
guidance_scale: 7.5

{
  "guidance_scale": 7.5,
  "num_inference_steps": 50,
  "num_outputs": "1",
  "prompt": "multicolor hyperspace"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0Ij**********************************

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: 50,
      num_outputs: "1",
      prompt: "multicolor hyperspace"
    }
  }
);

// 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_0Ij**********************************

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": 50,
        "num_outputs": "1",
        "prompt": "multicolor hyperspace"
    }
)

# 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_0Ij**********************************

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": 50,
      "num_outputs": "1",
      "prompt": "multicolor hyperspace"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "qffyxjvmbvfdbao7vvv2oss2gq",
  "model": "stability-ai/stable-diffusion",
  "version": "d70beb400d223e6432425a5299910329c6050c6abcf97b8c70537d6a1fcb269a",
  "input": {
    "guidance_scale": 7.5,
    "num_inference_steps": 50,
    "num_outputs": "1",
    "prompt": "multicolor hyperspace"
  },
  "logs": "Using seed: 1841\r\n\r\n0it [00:00, ?it/s]\r\n2it [00:00, 10.34it/s]\r\n4it [00:00,  9.29it/s]\r\n6it [00:00,  9.19it/s]\r\n7it [00:00,  9.12it/s]\r\n8it [00:00,  9.29it/s]\r\n9it [00:00,  9.25it/s]\r\n10it [00:01,  9.12it/s]\r\n11it [00:01,  9.22it/s]\r\n12it [00:01,  9.17it/s]\r\n13it [00:01,  9.27it/s]\r\n14it [00:01,  9.35it/s]\r\n15it [00:01,  9.18it/s]\r\n16it [00:01,  9.23it/s]\r\n17it [00:01,  8.99it/s]\r\n19it [00:02,  9.45it/s]\r\n20it [00:02,  9.16it/s]\r\n21it [00:02,  9.19it/s]\r\n23it [00:02,  9.27it/s]\r\n24it [00:02,  9.23it/s]\r\n25it [00:02,  9.34it/s]\r\n26it [00:02,  9.29it/s]\r\n27it [00:02,  9.29it/s]\r\n28it [00:03,  9.20it/s]\r\n29it [00:03,  9.15it/s]\r\n30it [00:03,  9.23it/s]\r\n32it [00:03,  9.36it/s]\r\n33it [00:03,  9.26it/s]\r\n34it [00:03,  9.19it/s]\r\n35it [00:03,  9.24it/s]\r\n36it [00:03,  9.30it/s]\r\n37it [00:04,  9.13it/s]\r\n38it [00:04,  9.26it/s]\r\n39it [00:04,  9.22it/s]\r\n40it [00:04,  9.10it/s]\r\n41it [00:04,  9.06it/s]\r\n42it [00:04,  9.13it/s]\r\n43it [00:04,  9.24it/s]\r\n44it [00:04,  9.41it/s]\r\n45it [00:04,  9.31it/s]\r\n46it [00:04,  9.21it/s]\r\n47it [00:05,  8.73it/s]\r\n48it [00:05,  9.01it/s]\r\n49it [00:05,  9.25it/s]\r\n50it [00:05,  8.80it/s]\r\n51it [00:05,  8.90it/s]\r\n52it [00:05,  9.15it/s]\r\n53it [00:05,  8.95it/s]\r\n54it [00:05,  9.10it/s]\r\n55it [00:05,  9.17it/s]\r\n57it [00:06,  9.49it/s]\r\n58it [00:06,  9.48it/s]\r\n59it [00:06,  9.24it/s]\r\n60it [00:06,  9.33it/s]\r\n61it [00:06,  9.20it/s]\r\n62it [00:06,  9.26it/s]\r\n63it [00:06,  9.22it/s]\r\n64it [00:06,  9.26it/s]\r\n65it [00:07,  9.07it/s]\r\n67it [00:07,  9.31it/s]\r\n68it [00:07,  9.21it/s]\r\n69it [00:07,  9.30it/s]\r\n70it [00:07,  9.24it/s]\r\n71it [00:07,  9.21it/s]\r\n72it [00:07,  9.20it/s]\r\n73it [00:07,  9.21it/s]\r\n74it [00:08,  9.21it/s]\r\n75it [00:08,  9.24it/s]\r\n76it [00:08,  9.09it/s]\r\n78it [00:08,  9.14it/s]\r\n79it [00:08,  9.27it/s]\r\n80it [00:08,  9.17it/s]\r\n82it [00:08,  9.38it/s]\r\n83it [00:09,  9.15it/s]\r\n84it [00:09,  9.28it/s]\r\n85it [00:09,  9.22it/s]\r\n86it [00:09,  9.15it/s]\r\n87it [00:09,  9.37it/s]\r\n88it [00:09,  9.17it/s]\r\n89it [00:09,  9.28it/s]\r\n90it [00:09,  9.24it/s]\r\n91it [00:09,  9.21it/s]\r\n92it [00:09,  9.04it/s]\r\n93it [00:10,  9.28it/s]\r\n94it [00:10,  9.34it/s]\r\n95it [00:10,  9.25it/s]\r\n96it [00:10,  9.18it/s]\r\n97it [00:10,  9.13it/s]\r\n98it [00:10,  9.12it/s]\r\n99it [00:10,  9.04it/s]\r\n100it [00:10,  9.21it/s]\r\n100it [00:10,  9.22it/s]",
  "output": [
    "https://replicate.delivery/mgxm/980bca24-f8d8-41bb-9f52-fe84bca9c251/out-0.png"
  ],
  "data_removed": false,
  "error": "",
  "source": "web",
  "status": "succeeded",
  "created_at": "2022-08-22T22:47:56.927485Z",
  "started_at": "2022-08-22T22:47:57Z",
  "completed_at": "2022-08-22T22:48:08Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/qffyxjvmbvfdbao7vvv2oss2gq/cancel",
    "get": "https://api.replicate.com/v1/predictions/qffyxjvmbvfdbao7vvv2oss2gq"
  },
  "metrics": {
    "predict_time": 11,
    "total_time": 11.072515
  }
}

Generated in

11.0 seconds

Tweak it Report

Using seed: 1841 0it [00:00, ?it/s] 2it [00:00, 10.34it/s] 4it [00:00, 9.29it/s] 6it [00:00, 9.19it/s] 7it [00:00, 9.12it/s] 8it [00:00, 9.29it/s] 9it [00:00, 9.25it/s] 10it [00:01, 9.12it/s] 11it [00:01, 9.22it/s] 12it [00:01, 9.17it/s] 13it [00:01, 9.27it/s] 14it [00:01, 9.35it/s] 15it [00:01, 9.18it/s] 16it [00:01, 9.23it/s] 17it [00:01, 8.99it/s] 19it [00:02, 9.45it/s] 20it [00:02, 9.16it/s] 21it [00:02, 9.19it/s] 23it [00:02, 9.27it/s] 24it [00:02, 9.23it/s] 25it [00:02, 9.34it/s] 26it [00:02, 9.29it/s] 27it [00:02, 9.29it/s] 28it [00:03, 9.20it/s] 29it [00:03, 9.15it/s] 30it [00:03, 9.23it/s] 32it [00:03, 9.36it/s] 33it [00:03, 9.26it/s] 34it [00:03, 9.19it/s] 35it [00:03, 9.24it/s] 36it [00:03, 9.30it/s] 37it [00:04, 9.13it/s] 38it [00:04, 9.26it/s] 39it [00:04, 9.22it/s] 40it [00:04, 9.10it/s] 41it [00:04, 9.06it/s] 42it [00:04, 9.13it/s] 43it [00:04, 9.24it/s] 44it [00:04, 9.41it/s] 45it [00:04, 9.31it/s] 46it [00:04, 9.21it/s] 47it [00:05, 8.73it/s] 48it [00:05, 9.01it/s] 49it [00:05, 9.25it/s] 50it [00:05, 8.80it/s] 51it [00:05, 8.90it/s] 52it [00:05, 9.15it/s] 53it [00:05, 8.95it/s] 54it [00:05, 9.10it/s] 55it [00:05, 9.17it/s] 57it [00:06, 9.49it/s] 58it [00:06, 9.48it/s] 59it [00:06, 9.24it/s] 60it [00:06, 9.33it/s] 61it [00:06, 9.20it/s] 62it [00:06, 9.26it/s] 63it [00:06, 9.22it/s] 64it [00:06, 9.26it/s] 65it [00:07, 9.07it/s] 67it [00:07, 9.31it/s] 68it [00:07, 9.21it/s] 69it [00:07, 9.30it/s] 70it [00:07, 9.24it/s] 71it [00:07, 9.21it/s] 72it [00:07, 9.20it/s] 73it [00:07, 9.21it/s] 74it [00:08, 9.21it/s] 75it [00:08, 9.24it/s] 76it [00:08, 9.09it/s] 78it [00:08, 9.14it/s] 79it [00:08, 9.27it/s] 80it [00:08, 9.17it/s] 82it [00:08, 9.38it/s] 83it [00:09, 9.15it/s] 84it [00:09, 9.28it/s] 85it [00:09, 9.22it/s] 86it [00:09, 9.15it/s] 87it [00:09, 9.37it/s] 88it [00:09, 9.17it/s] 89it [00:09, 9.28it/s] 90it [00:09, 9.24it/s] 91it [00:09, 9.21it/s] 92it [00:09, 9.04it/s] 93it [00:10, 9.28it/s] 94it [00:10, 9.34it/s] 95it [00:10, 9.25it/s] 96it [00:10, 9.18it/s] 97it [00:10, 9.13it/s] 98it [00:10, 9.12it/s] 99it [00:10, 9.04it/s] 100it [00:10, 9.21it/s] 100it [00:10, 9.22it/s]