chamuditha4/anime_diff-oolong:b6fb5bd2 | Run with an API on Replicate

Version

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chamuditha4 /anime_diff-oolong:b6fb5bd2

Playground API

Input

model

string

Model

Default: "disney"

prompt

string

Shift + Return to add a new line

a panda playing a guitar, on a boat, in the ocean, high qualitya panda playing a guitar, on a boat, in the ocean, high quality

Input prompt

Default: "a panda playing a guitar, on a boat, in the ocean, high quality"

negative_prompt

string

Shift + Return to add a new line

Negative prompt

Default: "bad quality, worse quality"

num_frames

integer

(minimum: 1, maximum: 32)

Number of frames

Default: 16

guidance_scale

number

(minimum: 1, maximum: 20)

Guidance scale

Default: 7.5

num_inference_steps

integer

(minimum: 1, maximum: 100)

Number of inference steps

Default: 25

width

integer

(minimum: 64, maximum: 1024)

Width

Default: 512

height

integer

(minimum: 64, maximum: 1024)

Height

Default: 512

seed

integer

Random seed. Leave blank to randomize the seed

is_video

boolean

Is video

Default: false

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

npx create-replicate --model=chamuditha4/anime_diff-oolong

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";
import fs from "node:fs";

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

Run chamuditha4/anime_diff-oolong using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chamuditha4/anime_diff-oolong:b6fb5bd2ecb8aa52056084c3325d4e392969610416c2f4ddb26ad4fe72e7c670",
  {
    input: {
      model: "disney",
      width: 512,
      height: 512,
      prompt: "a panda playing a guitar, on a boat, in the ocean, high quality",
      is_video: false,
      num_frames: 16,
      guidance_scale: 7.5,
      negative_prompt: "bad quality, worse quality",
      num_inference_steps: 25
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 chamuditha4/anime_diff-oolong using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chamuditha4/anime_diff-oolong:b6fb5bd2ecb8aa52056084c3325d4e392969610416c2f4ddb26ad4fe72e7c670",
    input={
        "model": "disney",
        "width": 512,
        "height": 512,
        "prompt": "a panda playing a guitar, on a boat, in the ocean, high quality",
        "is_video": False,
        "num_frames": 16,
        "guidance_scale": 7.5,
        "negative_prompt": "bad quality, worse quality",
        "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 chamuditha4/anime_diff-oolong 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": "chamuditha4/anime_diff-oolong:b6fb5bd2ecb8aa52056084c3325d4e392969610416c2f4ddb26ad4fe72e7c670",
    "input": {
      "model": "disney",
      "width": 512,
      "height": 512,
      "prompt": "a panda playing a guitar, on a boat, in the ocean, high quality",
      "is_video": false,
      "num_frames": 16,
      "guidance_scale": 7.5,
      "negative_prompt": "bad quality, worse quality",
      "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/chamuditha4/anime_diff-oolong@sha256:b6fb5bd2ecb8aa52056084c3325d4e392969610416c2f4ddb26ad4fe72e7c670 \
  -i 'model="disney"' \
  -i 'width=512' \
  -i 'height=512' \
  -i 'prompt="a panda playing a guitar, on a boat, in the ocean, high quality"' \
  -i 'is_video=false' \
  -i 'num_frames=16' \
  -i 'guidance_scale=7.5' \
  -i 'negative_prompt="bad quality, worse quality"' \
  -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/chamuditha4/anime_diff-oolong@sha256:b6fb5bd2ecb8aa52056084c3325d4e392969610416c2f4ddb26ad4fe72e7c670
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "model": "disney",
      "width": 512,
      "height": 512,
      "prompt": "a panda playing a guitar, on a boat, in the ocean, high quality",
      "is_video": false,
      "num_frames": 16,
      "guidance_scale": 7.5,
      "negative_prompt": "bad quality, worse quality",
      "num_inference_steps": 25
    }
  }' \
  http://localhost:5000/predictions

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

Output

No output yet! Press "Submit" to start a prediction.