lucataco/ssd-1b:1ee85ef6 – Run with an API on Replicate

Version

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lucataco /ssd-1b:1ee85ef6

Input

prompt

string

Shift + Return to add a new line

NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.

Input prompt

Default: "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background"

negative_prompt

string

Shift + Return to add a new line

Negative Input prompt

Default: "scary, cartoon, painting"

width

integer

Width of output image

Default: 768

height

integer

Height of output image

Default: 768

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "K_EULER"

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 25

guidance_scale

number

(minimum: 1, maximum: 50)

Scale for classifier-free guidance

Default: 7.5

seed

integer

Random seed. Leave blank to randomize the seed

Run this model in Node.js with one line of code:

npx create-replicate --model=lucataco/ssd-1b

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b:1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780",
  {
    input: {
      seed: 36446545871,
      width: 768,
      height: 768,
      prompt: "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.",
      scheduler: "K_EULER",
      num_outputs: 1,
      guidance_scale: 9,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 25
    }
  }
);
console.log(output);

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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run lucataco/ssd-1b using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ssd-1b:1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780",
    input={
        "seed": 36446545871,
        "width": 768,
        "height": 768,
        "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 9,
        "negative_prompt": "scary, cartoon, painting",
        "num_inference_steps": 25
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/ssd-1b 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": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780",
    "input": {
      "seed": 36446545871,
      "width": 768,
      "height": 768,
      "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of \'Ghost in the Shell\', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 9,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 25
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/lucataco/ssd-1b@sha256:1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780 \
  -i 'seed=36446545871' \
  -i 'width=768' \
  -i 'height=768' \
  -i $'prompt="NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of \'Ghost in the Shell\', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously."' \
  -i 'scheduler="K_EULER"' \
  -i 'num_outputs=1' \
  -i 'guidance_scale=9' \
  -i 'negative_prompt="scary, cartoon, painting"' \
  -i 'num_inference_steps=25'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/ssd-1b@sha256:1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 36446545871,
      "width": 768,
      "height": 768,
      "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of \'Ghost in the Shell\', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.",
      "scheduler": "K_EULER",
      "num_outputs": 1,
      "guidance_scale": 9,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2023-10-25T01:16:16.856600Z",
  "created_at": "2023-10-25T01:16:13.322635Z",
  "data_removed": false,
  "error": null,
  "id": "lbx2nbdbpkv6ryio7wnng2yfjq",
  "input": {
    "seed": 36446545871,
    "width": 768,
    "height": 768,
    "prompt": "NEONPUNK, A rogue hacker in her neon-lit lair, walls covered in digital code, prepping for a cyber heist, cold cyans clashing with electric oranges, 2D digital painting, intense and focused, screens projecting data maps, techy and modern, reminiscent of 'Ghost in the Shell', underground, high-stakes mission, centering the hacker, cables snaking around, mysterious, AI companions hovering, vector art, holo displays open, action-ready stance, by Syd Mead, sleek, tech-infused, with binary code streaming continuously.",
    "scheduler": "K_EULER",
    "num_outputs": 1,
    "guidance_scale": 9,
    "negative_prompt": "scary, cartoon, painting",
    "num_inference_steps": 25
  },
  "logs": "Using seed: 36446545871\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['snaking around, mysterious, ai companions hovering, vector art, holo displays open, action - ready stance, by syd mead, sleek, tech - infused, with binary code streaming continuously.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['snaking around, mysterious, ai companions hovering, vector art, holo displays open, action - ready stance, by syd mead, sleek, tech - infused, with binary code streaming continuously.']\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:01, 12.71it/s]\n 16%|█▌        | 4/25 [00:00<00:01, 12.61it/s]\n 24%|██▍       | 6/25 [00:00<00:01, 12.61it/s]\n 32%|███▏      | 8/25 [00:00<00:01, 12.62it/s]\n 40%|████      | 10/25 [00:00<00:01, 12.62it/s]\n 48%|████▊     | 12/25 [00:00<00:01, 12.60it/s]\n 56%|█████▌    | 14/25 [00:01<00:00, 12.59it/s]\n 64%|██████▍   | 16/25 [00:01<00:00, 12.61it/s]\n 72%|███████▏  | 18/25 [00:01<00:00, 12.62it/s]\n 80%|████████  | 20/25 [00:01<00:00, 12.62it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.62it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.61it/s]",
  "metrics": {
    "predict_time": 3.53962,
    "total_time": 3.533965
  },
  "output": [
    "https://replicate.delivery/pbxt/hM7oIKNVWibYDFY6a8JUfZoz7aJbv8nSAg6eY8ar3jGg5hxRA/out-0.png"
  ],
  "started_at": "2023-10-25T01:16:13.316980Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/lbx2nbdbpkv6ryio7wnng2yfjq",
    "cancel": "https://api.replicate.com/v1/predictions/lbx2nbdbpkv6ryio7wnng2yfjq/cancel"
  },
  "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780"
}

Generated in

3.5 seconds

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