Prediction

Model

stability-ai/stable-diffusion:27b93a24

4hwtj7bbmvetvgdah5o4xln3qy

Status

Succeeded

Source

Web

Hardware

–

Total duration

4.5s

Created

about 3 years ago

Webhook

–

Input

prompt: multicolor hyperspace
width: 512
height: 512
prompt_strength: 0.8
num_outputs: 1
num_inference_steps: 50
guidance_scale: 7.5
scheduler: K_EULER_ANCESTRAL

{
  "guidance_scale": 7.5,
  "height": 512,
  "num_inference_steps": 50,
  "num_outputs": "1",
  "prompt": "multicolor hyperspace",
  "prompt_strength": 0.8,
  "scheduler": "K_EULER_ANCESTRAL",
  "width": 512
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Yvz**********************************

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:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478",
  {
    input: {
      guidance_scale: 7.5,
      height: 512,
      num_inference_steps: 50,
      num_outputs: "1",
      prompt: "multicolor hyperspace",
      prompt_strength: 0.8,
      scheduler: "K_EULER_ANCESTRAL",
      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_Yvz**********************************

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:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478",
    input={
        "guidance_scale": 7.5,
        "height": 512,
        "num_inference_steps": 50,
        "num_outputs": "1",
        "prompt": "multicolor hyperspace",
        "prompt_strength": 0.8,
        "scheduler": "K_EULER_ANCESTRAL",
        "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_Yvz**********************************

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:27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478",
    "input": {
      "guidance_scale": 7.5,
      "height": 512,
      "num_inference_steps": 50,
      "num_outputs": "1",
      "prompt": "multicolor hyperspace",
      "prompt_strength": 0.8,
      "scheduler": "K_EULER_ANCESTRAL",
      "width": 512
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "4hwtj7bbmvetvgdah5o4xln3qy",
  "model": "stability-ai/stable-diffusion",
  "version": "27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478",
  "input": {
    "guidance_scale": 7.5,
    "height": 512,
    "num_inference_steps": 50,
    "num_outputs": "1",
    "prompt": "multicolor hyperspace",
    "prompt_strength": 0.8,
    "scheduler": "K_EULER_ANCESTRAL",
    "width": 512
  },
  "logs": "Using seed: 63752\n  0%|          | 0/50 [00:00<?, ?it/s]\n  4%|▍         | 2/50 [00:00<00:03, 13.59it/s]\n  8%|▊         | 4/50 [00:00<00:03, 14.13it/s]\n 12%|█▏        | 6/50 [00:00<00:03, 14.41it/s]\n 16%|█▌        | 8/50 [00:00<00:02, 14.53it/s]\n 20%|██        | 10/50 [00:00<00:02, 14.27it/s]\n 24%|██▍       | 12/50 [00:00<00:02, 14.30it/s]\n 28%|██▊       | 14/50 [00:00<00:02, 14.22it/s]\n 32%|███▏      | 16/50 [00:01<00:02, 14.37it/s]\n 36%|███▌      | 18/50 [00:01<00:02, 14.43it/s]\n 40%|████      | 20/50 [00:01<00:02, 14.41it/s]\n 44%|████▍     | 22/50 [00:01<00:01, 14.39it/s]\n 48%|████▊     | 24/50 [00:01<00:01, 14.17it/s]\n 52%|█████▏    | 26/50 [00:01<00:01, 14.20it/s]\n 56%|█████▌    | 28/50 [00:01<00:01, 14.17it/s]\n 60%|██████    | 30/50 [00:02<00:01, 14.35it/s]\n 64%|██████▍   | 32/50 [00:02<00:01, 14.44it/s]\n 68%|██████▊   | 34/50 [00:02<00:01, 14.43it/s]\n 72%|███████▏  | 36/50 [00:02<00:00, 14.47it/s]\n 76%|███████▌  | 38/50 [00:02<00:00, 14.49it/s]\n 80%|████████  | 40/50 [00:02<00:00, 14.47it/s]\n 84%|████████▍ | 42/50 [00:02<00:00, 14.34it/s]\n 88%|████████▊ | 44/50 [00:03<00:00, 14.43it/s]\n 92%|█████████▏| 46/50 [00:03<00:00, 14.48it/s]\n 96%|█████████▌| 48/50 [00:03<00:00, 14.52it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.54it/s]\n100%|██████████| 50/50 [00:03<00:00, 14.38it/s]",
  "output": [
    "https://replicate.delivery/pbxt/DogdQ8movv5LNlAaHGXrRU9eS1hZMs0OZpIthOsyTbeL6wCQA/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2022-11-22T23:34:31.934216Z",
  "started_at": "2022-11-22T23:34:31.968707Z",
  "completed_at": "2022-11-22T23:34:36.39936Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/4hwtj7bbmvetvgdah5o4xln3qy/cancel",
    "get": "https://api.replicate.com/v1/predictions/4hwtj7bbmvetvgdah5o4xln3qy"
  },
  "metrics": {
    "predict_time": 4.430653,
    "total_time": 4.465144
  }
}

Generated in

4.4 seconds

Tweak it Report