carcruz97 / scaling-model-v2

  • Public
  • 26 runs
  • L40S
  • GitHub
Iterate in playground

Input

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 carcruz97/scaling-model-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "carcruz97/scaling-model-v2:9c5f71caed00f1af38c0ca1edeadde16afb70ad13edec874fb2852797ffe694a",
    input={
        "alpha": 0.4
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

To learn more, take a look at the guide on getting started with Python.

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.