fofr/cinematic-redmond:c798f0f5 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

fofr /cinematic-redmond:c798f0f5

Input

prompt

string

Shift + Return to add a new line

a photo of an astronaut riding a unicorna photo of an astronaut riding a unicorn

Default: "a photo of an astronaut riding a unicorn"

negative_prompt

string

Shift + Return to add a new line

ugly, disfigured, low quality, blurry, nsfwugly, disfigured, low quality, blurry, nsfw

The negative prompt to guide image generation.

Default: "ugly, disfigured, low quality, blurry, nsfw"

steps

integer

(minimum: 1, maximum: 100)

Number of diffusion steps

Default: 17

guidance_scale

number

(minimum: 0, maximum: 30)

Scale for classifier-free guidance

Default: 6

seed

integer

width

integer

Default: 1640

height

integer

Default: 744

num_outputs

integer

(minimum: 1, maximum: 10)

Number of outputs

Default: 1

sampler_name

string

An enumeration.

Default: "dpmpp_2m_sde_gpu"

scheduler

string

An enumeration.

Default: "karras"

disable_safety_checker

boolean

Disable safety checker for generated images.

Default: false

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

npx create-replicate --model=fofr/cinematic-redmond

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 fofr/cinematic-redmond using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/cinematic-redmond:c798f0f5600aa127d0b38a17c6d156fefecbb55e11e061c515e4b52cfdd43c18",
  {
    input: {
      steps: 17,
      width: 1640,
      height: 744,
      prompt: "a photo of an astronaut riding a unicorn",
      scheduler: "karras",
      num_outputs: 1,
      sampler_name: "dpmpp_2m_sde_gpu",
      guidance_scale: 6,
      negative_prompt: "ugly, disfigured, low quality, blurry, nsfw"
    }
  }
);

// 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 fofr/cinematic-redmond using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/cinematic-redmond:c798f0f5600aa127d0b38a17c6d156fefecbb55e11e061c515e4b52cfdd43c18",
    input={
        "steps": 17,
        "width": 1640,
        "height": 744,
        "prompt": "a photo of an astronaut riding a unicorn",
        "scheduler": "karras",
        "num_outputs": 1,
        "sampler_name": "dpmpp_2m_sde_gpu",
        "guidance_scale": 6,
        "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw"
    }
)
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 fofr/cinematic-redmond 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": "c798f0f5600aa127d0b38a17c6d156fefecbb55e11e061c515e4b52cfdd43c18",
    "input": {
      "steps": 17,
      "width": 1640,
      "height": 744,
      "prompt": "a photo of an astronaut riding a unicorn",
      "scheduler": "karras",
      "num_outputs": 1,
      "sampler_name": "dpmpp_2m_sde_gpu",
      "guidance_scale": 6,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw"
    }
  }' \
  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/fofr/cinematic-redmond@sha256:c798f0f5600aa127d0b38a17c6d156fefecbb55e11e061c515e4b52cfdd43c18 \
  -i 'steps=17' \
  -i 'width=1640' \
  -i 'height=744' \
  -i 'prompt="a photo of an astronaut riding a unicorn"' \
  -i 'scheduler="karras"' \
  -i 'num_outputs=1' \
  -i 'sampler_name="dpmpp_2m_sde_gpu"' \
  -i 'guidance_scale=6' \
  -i 'negative_prompt="ugly, disfigured, low quality, blurry, nsfw"'

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/fofr/cinematic-redmond@sha256:c798f0f5600aa127d0b38a17c6d156fefecbb55e11e061c515e4b52cfdd43c18
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "steps": 17,
      "width": 1640,
      "height": 744,
      "prompt": "a photo of an astronaut riding a unicorn",
      "scheduler": "karras",
      "num_outputs": 1,
      "sampler_name": "dpmpp_2m_sde_gpu",
      "guidance_scale": 6,
      "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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