christophy / sdxl-lightning-4step

  • Public
  • 1 run
  • L40S
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 christophy/sdxl-lightning-4step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "christophy/sdxl-lightning-4step:14161a3e104a7b5703fa94dc057821819843723cad6d28e71eb393f975f56b7b",
    input={
        "width": 1024,
        "height": 1024,
        "prompt": "A superhero smiling",
        "scheduler": "K_EULER",
        "num_outputs": 1,
        "guidance_scale": 0,
        "negative_prompt": "worst quality, low quality",
        "num_inference_steps": 4
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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.

Readme

This model doesn't have a readme.