output = replicate.run(
    "prompthunt/base-inference-swap:d4f205de726a56c16f3b65c530e64ca67814f262d0e01bb88d95c87f4a4d8b93",
    input={
        "width": 512,
        "height": 512,
        "prompt": "photo of cjw person",
        "scheduler": "DPMSolverMultistep",
        "num_outputs": 1,
        "guidance_scale": 7.5,
        "negative_prompt": "",
        "prompt_strength": 0.8,
        "should_swap_face": False,
        "num_inference_steps": 50
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "prompthunt/base-inference-swap:d4f205de726a56c16f3b65c530e64ca67814f262d0e01bb88d95c87f4a4d8b93",
    "input": {
      "width": 512,
      "height": 512,
      "prompt": "photo of cjw person",
      "scheduler": "DPMSolverMultistep",
      "num_outputs": 1,
      "guidance_scale": 7.5,
      "negative_prompt": "",
      "prompt_strength": 0.8,
      "should_swap_face": false,
      "num_inference_steps": 50
    }
  }' \
  https://api.replicate.com/v1/predictions