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

Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.

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: 36446545872,
      width: 768,
      height: 768,
      prompt: "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.",
      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": 36446545872,
        "width": 768,
        "height": 768,
        "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.",
        "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": 36446545872,
      "width": 768,
      "height": 768,
      "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.",
      "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=36446545872' \
  -i 'width=768' \
  -i 'height=768' \
  -i 'prompt="Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings."' \
  -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": 36446545872,
      "width": 768,
      "height": 768,
      "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.",
      "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": "2023-10-25T01:17:08.151350Z",
  "created_at": "2023-10-25T01:17:04.658714Z",
  "data_removed": false,
  "error": null,
  "id": "7pk5jptbnnvmd6l3v4iegsieke",
  "input": {
    "seed": 36446545872,
    "width": 768,
    "height": 768,
    "prompt": "Medieval Castle, standing tall on a hill, surrounded by a moat, with banners flying and a drawbridge leading to it, evoking feelings of chivalry and bygone eras, designed in Low Poly style, with angular structures, flat color regions, and clear geometric definitions without intricate carvings.",
    "scheduler": "K_EULER",
    "num_outputs": 1,
    "guidance_scale": 9,
    "negative_prompt": "scary, cartoon, painting",
    "num_inference_steps": 25
  },
  "logs": "Using seed: 36446545872\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:01, 12.76it/s]\n 16%|█▌        | 4/25 [00:00<00:01, 12.72it/s]\n 24%|██▍       | 6/25 [00:00<00:01, 12.71it/s]\n 32%|███▏      | 8/25 [00:00<00:01, 12.67it/s]\n 40%|████      | 10/25 [00:00<00:01, 12.65it/s]\n 48%|████▊     | 12/25 [00:00<00:01, 12.64it/s]\n 56%|█████▌    | 14/25 [00:01<00:00, 12.62it/s]\n 64%|██████▍   | 16/25 [00:01<00:00, 12.59it/s]\n 72%|███████▏  | 18/25 [00:01<00:00, 12.59it/s]\n 80%|████████  | 20/25 [00:01<00:00, 12.59it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.59it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.58it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.61it/s]",
  "metrics": {
    "predict_time": 3.539516,
    "total_time": 3.492636
  },
  "output": [
    "https://replicate.delivery/pbxt/aPdpZ8LGpBLOEh5yDYr2kMDE9t599ZD7z8aCldcdABzkew4IA/out-0.png"
  ],
  "started_at": "2023-10-25T01:17:04.611834Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/7pk5jptbnnvmd6l3v4iegsieke",
    "cancel": "https://api.replicate.com/v1/predictions/7pk5jptbnnvmd6l3v4iegsieke/cancel"
  },
  "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780"
}

Generated in

3.5 seconds

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