prompthunt / swap_each_step

  • Public
  • 50 runs
  • A100 (80GB)

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

output = replicate.run(
    "prompthunt/swap_each_step:023d82052ef151e9b2a34eaa150f7c9febedb25a6ffd7ee976c610bf30580a4f",
    input={
        "width": 512,
        "height": 512,
        "prompt": "photo of cjw person",
        "use_tile": False,
        "scheduler": "DPM++SDEKarras",
        "num_outputs": 1,
        "use_new_vae": False,
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "upscale_fidelity": 0.7,
        "prompt_strength_2": 0.8,
        "prompt_strength_3": 0.8,
        "prompt_strength_4": 0.8,
        "second_pass_steps": 50,
        "show_debug_images": False,
        "upscale_final_size": 4,
        "num_inference_steps": 50,
        "second_pass_strength": 0.8,
        "upscale_face_upsample": True,
        "disable_cn_second_pass": False,
        "second_pass_guidance_scale": 3,
        "upscale_background_enhance": True
    }
)
print(output)

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 A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

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