sabatinomasala / sd-68087-alex-test-pose

  • Public
  • 20 runs
  • T4
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 sabatinomasala/sd-68087-alex-test-pose using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sabatinomasala/sd-68087-alex-test-pose:34b39c8f81731a9d0e51f623985a1e7a00ba000b6e95b8746f23424e899f4d57",
    input={
        "width": 512,
        "height": 512,
        "prompt": "photo of cjw person",
        "scheduler": "DPMSolverMultistep",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "prompt_strength": 0.8,
        "num_inference_steps": 50,
        "disable_safety_check": False
    }
)

# The sabatinomasala/sd-68087-alex-test-pose model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/sabatinomasala/sd-68087-alex-test-pose/api#output-schema
    print(item)

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 T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.