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

WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.

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: "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.",
      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": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.",
        "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": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.",
      "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.

Output

{
  "completed_at": "2023-10-25T01:17:35.934998Z",
  "created_at": "2023-10-25T01:17:32.411211Z",
  "data_removed": false,
  "error": null,
  "id": "emvugclblirh7fegnuuorp6x4u",
  "input": {
    "seed": 36446545872,
    "width": 768,
    "height": 768,
    "prompt": "WATERCOLOR, Flamenco dancer in mid-twirl, vivid reds and blacks of her attire, passion captured in her posture, warm oranges and yellows of stage lights, on high-quality watercolor paper, intense and dynamic, movement captured in swirling colors, inspired by Spanish traditions, energetic, ruffles of the dress given depth by color layering, spontaneous brushwork, with audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.",
    "scheduler": "K_EULER",
    "num_outputs": 1,
    "guidance_scale": 9,
    "negative_prompt": "scary, cartoon, painting",
    "num_inference_steps": 25
  },
  "logs": "Using seed: 36446545872\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['audience shadows hinted in background, dramatic, expressive, with splatters to emphasize the raw emotion.']\n  0%|          | 0/25 [00:00<?, ?it/s]\n  8%|▊         | 2/25 [00:00<00:01, 12.74it/s]\n 16%|█▌        | 4/25 [00:00<00:01, 12.68it/s]\n 24%|██▍       | 6/25 [00:00<00:01, 12.62it/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, 12.57it/s]\n 56%|█████▌    | 14/25 [00:01<00:00, 12.57it/s]\n 64%|██████▍   | 16/25 [00:01<00:00, 12.58it/s]\n 72%|███████▏  | 18/25 [00:01<00:00, 12.58it/s]\n 80%|████████  | 20/25 [00:01<00:00, 12.59it/s]\n 88%|████████▊ | 22/25 [00:01<00:00, 12.61it/s]\n 96%|█████████▌| 24/25 [00:01<00:00, 12.61it/s]\n100%|██████████| 25/25 [00:01<00:00, 12.60it/s]",
  "metrics": {
    "predict_time": 3.536099,
    "total_time": 3.523787
  },
  "output": [
    "https://replicate.delivery/pbxt/l5f9JsytFzQtI66l0iXMOUPVvAvuZJkXHAr0fxbVVl5v6hxRA/out-0.png"
  ],
  "started_at": "2023-10-25T01:17:32.398899Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/emvugclblirh7fegnuuorp6x4u",
    "cancel": "https://api.replicate.com/v1/predictions/emvugclblirh7fegnuuorp6x4u/cancel"
  },
  "version": "1ee85ef681d5ad3d6870b9da1a4543cb3ad702d036fa5b5210f133b83b05a780"
}

Generated in

3.5 seconds

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