georgedavila/chdif17 – Run with an API on Replicate

georgedavila / chdif17

test - still a work in progress

Cold

Public
5 runs
L40S

Run with an API

Playground API Examples README Versions

Input

myprompt

string

Shift + Return to add a new line

A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.

Input prompt - llama embedding

Default: "A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality."

outWidth

integer

(minimum: 128, maximum: 2048)

width of output

Default: 854

outHeight

integer

(minimum: 128, maximum: 2048)

height of output

Default: 480

guidanceScale

number

(minimum: 0, maximum: 20)

Guidance scale (influence of input text on generation)

Default: 6

num_frames

integer

Number of frames to generate (must be 4k+1, ex: 49 or 129).

Default: 129

num_outputs

integer

(minimum: 1, maximum: 4)

Number of outputs.

Default: 1

num_inference_steps

integer

(minimum: 1, maximum: 500)

Number of denoising steps

Default: 50

outFPS

integer

Output FPS

Default: 24

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=georgedavila/chdif17

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 georgedavila/chdif17 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "georgedavila/chdif17:36db0cd06578f7b891232d1470316a6e6bc6744988a948f36e3520d445da863d",
  {
    input: {
      outFPS: 24,
      myprompt: "A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.",
      outWidth: 854,
      outHeight: 480,
      num_frames: 129,
      num_outputs: 1,
      guidanceScale: 6,
      num_inference_steps: 50
    }
  }
);

// 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 georgedavila/chdif17 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "georgedavila/chdif17:36db0cd06578f7b891232d1470316a6e6bc6744988a948f36e3520d445da863d",
    input={
        "outFPS": 24,
        "myprompt": "A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.",
        "outWidth": 854,
        "outHeight": 480,
        "num_frames": 129,
        "num_outputs": 1,
        "guidanceScale": 6,
        "num_inference_steps": 50
    }
)
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 georgedavila/chdif17 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": "georgedavila/chdif17:36db0cd06578f7b891232d1470316a6e6bc6744988a948f36e3520d445da863d",
    "input": {
      "outFPS": 24,
      "myprompt": "A golden retriever plays basketball, realistic style. UHD, 8k uhd, best quality, high quality.",
      "outWidth": 854,
      "outHeight": 480,
      "num_frames": 129,
      "num_outputs": 1,
      "guidanceScale": 6,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.