output = replicate.run(
    "replicategithubwc/newreality-xl-controlnet:68123bd60cc15507d4def45fb12aa1ca0899e5f52825c55922680ca95a46f58c",
    input={
        "seed": 0,
        "width": 1024,
        "height": 1024,
        "prompt": "aerial view, a futuristic research complex in a bright foggy jungle, hard lighting",
        "scheduler": "DDIM",
        "model_type": "canny",
        "num_outputs": 1,
        "low_threshold": 100,
        "guidance_scale": 7.5,
        "high_threshold": 200,
        "condition_scale": 0.5,
        "negative_prompt": "low quality, bad quality, sketches",
        "num_inference_steps": 50,
        "adapter_conditioning_factor": 1
    }
)
print(output)

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "68123bd60cc15507d4def45fb12aa1ca0899e5f52825c55922680ca95a46f58c",
    "input": {
      "seed": 0,
      "width": 1024,
      "height": 1024,
      "prompt": "aerial view, a futuristic research complex in a bright foggy jungle, hard lighting",
      "scheduler": "DDIM",
      "model_type": "canny",
      "num_outputs": 1,
      "low_threshold": 100,
      "guidance_scale": 7.5,
      "high_threshold": 200,
      "condition_scale": 0.5,
      "negative_prompt": "low quality, bad quality, sketches",
      "num_inference_steps": 50,
      "adapter_conditioning_factor": 1
    }
  }' \
  https://api.replicate.com/v1/predictions