zf-kbot/claymation – Run with an API on Replicate

zf-kbot / claymation

Generate clay style images based on prompts or images

Cold

Public
467 runs
L40S

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "A cute girl"

image

file

Input image, for image to image

strength

number

(minimum: 0, maximum: 1)

The weight of image

Default: 0.6

negative_prompt

string

Shift + Return to add a new line

ugly, disfigured, duplicate, mutated, bad art, blur, blurry, dofugly, disfigured, duplicate, mutated, bad art, blur, blurry, dof

Input Negative Prompt

Default: "ugly, disfigured, duplicate, mutated, bad art, blur, blurry, dof"

width

integer

Width of output image

Default: 1024

height

integer

Height of output image

Default: 1024

num_outputs

integer

(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

scheduler

string

scheduler

Default: "KarrasDPM"

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of denoising steps

Default: 24

guidance_scale

number

(minimum: 1, maximum: 20)

Scale for classifier-free guidance

Default: 6

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=zf-kbot/claymation

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 zf-kbot/claymation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zf-kbot/claymation:95cb01c3e941a760c360946a79d35dba8216b7c5f566f5b9713749414c3030b4",
  {
    input: {
      width: 1024,
      height: 1024,
      prompt: "A cute girl",
      strength: 0.6,
      scheduler: "KarrasDPM",
      num_outputs: 1,
      guidance_scale: 6,
      negative_prompt: "ugly, disfigured, duplicate, mutated, bad art, blur, blurry, dof",
      num_inference_steps: 24
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run zf-kbot/claymation using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zf-kbot/claymation:95cb01c3e941a760c360946a79d35dba8216b7c5f566f5b9713749414c3030b4",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A cute girl",
        "strength": 0.6,
        "scheduler": "KarrasDPM",
        "num_outputs": 1,
        "guidance_scale": 6,
        "negative_prompt": "ugly, disfigured, duplicate, mutated, bad art, blur, blurry, dof",
        "num_inference_steps": 24
    }
)
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 zf-kbot/claymation 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": "95cb01c3e941a760c360946a79d35dba8216b7c5f566f5b9713749414c3030b4",
    "input": {
      "width": 1024,
      "height": 1024,
      "prompt": "A cute girl",
      "strength": 0.6,
      "scheduler": "KarrasDPM",
      "num_outputs": 1,
      "guidance_scale": 6,
      "negative_prompt": "ugly, disfigured, duplicate, mutated, bad art, blur, blurry, dof",
      "num_inference_steps": 24
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "completed_at": "2024-07-02T09:59:15.566949Z",
  "created_at": "2024-07-02T09:53:44.934000Z",
  "data_removed": false,
  "error": null,
  "id": "1wpx10afwsrgj0cgebev39z5z8",
  "input": {
    "width": 1024,
    "height": 1024,
    "prompt": "A cute girl",
    "strength": 0.6,
    "scheduler": "KarrasDPM",
    "num_outputs": 1,
    "guidance_scale": 6,
    "negative_prompt": "ugly, disfigured, duplicate, mutated, bad art, blur, blurry, dof",
    "num_inference_steps": 24
  },
  "logs": "Using seed: 5695708\nloading lora file:  clay.safetensors lora_scale:  1.0\n  0%|          | 0/24 [00:00<?, ?it/s]\n  4%|▍         | 1/24 [00:00<00:09,  2.51it/s]\n  8%|▊         | 2/24 [00:00<00:06,  3.42it/s]\n 12%|█▎        | 3/24 [00:00<00:05,  3.57it/s]\n 17%|█▋        | 4/24 [00:01<00:05,  3.66it/s]\n 21%|██        | 5/24 [00:01<00:05,  3.70it/s]\n 25%|██▌       | 6/24 [00:01<00:04,  3.73it/s]\n 29%|██▉       | 7/24 [00:01<00:04,  3.75it/s]\n 33%|███▎      | 8/24 [00:02<00:04,  3.76it/s]\n 38%|███▊      | 9/24 [00:02<00:03,  3.77it/s]\n 42%|████▏     | 10/24 [00:02<00:03,  3.77it/s]\n 46%|████▌     | 11/24 [00:02<00:03,  3.78it/s]\n 50%|█████     | 12/24 [00:03<00:03,  3.75it/s]\n 54%|█████▍    | 13/24 [00:03<00:02,  3.75it/s]\n 58%|█████▊    | 14/24 [00:03<00:02,  3.80it/s]\n 62%|██████▎   | 15/24 [00:04<00:02,  3.79it/s]\n 67%|██████▋   | 16/24 [00:04<00:02,  3.77it/s]\n 71%|███████   | 17/24 [00:04<00:01,  3.78it/s]\n 75%|███████▌  | 18/24 [00:04<00:01,  3.79it/s]\n 79%|███████▉  | 19/24 [00:05<00:01,  3.78it/s]\n 83%|████████▎ | 20/24 [00:05<00:01,  3.78it/s]\n 88%|████████▊ | 21/24 [00:05<00:00,  3.77it/s]\n 92%|█████████▏| 22/24 [00:05<00:00,  3.78it/s]\n 96%|█████████▌| 23/24 [00:06<00:00,  3.77it/s]\n100%|██████████| 24/24 [00:06<00:00,  3.77it/s]\n100%|██████████| 24/24 [00:06<00:00,  3.73it/s]",
  "metrics": {
    "predict_time": 11.81065053,
    "total_time": 330.632949
  },
  "output": [
    "https://replicate.delivery/pbxt/edv7RYZROejsvk73gjSLDpdQmfVo7FuoaAXUXuiWte0KXgRMB/out-0.png"
  ],
  "started_at": "2024-07-02T09:59:03.756298Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/1wpx10afwsrgj0cgebev39z5z8",
    "cancel": "https://api.replicate.com/v1/predictions/1wpx10afwsrgj0cgebev39z5z8/cancel"
  },
  "version": "95cb01c3e941a760c360946a79d35dba8216b7c5f566f5b9713749414c3030b4"
}

Generated in

11.8 seconds

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Examples

View more examples

Run time and cost

This model costs approximately $0.067 to run on Replicate, or 14 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 70 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Overview 🌈

This model can generate images with clay effects through text or images

Info

Poster: Remaker AI

Web Features: AI Art Generator

Other features:

Model Link

https://civitai.com/models/143769/clayanimationredmond-clay-animation-lora-for-sd-xl