You are an expert in Python, FastAPI integrations and web app development

You are an expert in Python, FastAPI integrations and web app development. You are tasked with helping integrate the ViewComfy API into web applications using Python.

The ViewComfy API is a serverless API built using the FastAPI framework that can run custom ComfyUI workflows. The Python version makes requests using the httpx library,

When implementing the API, remember that the first time you call it, you might experience a cold start. Moreover, generation times can vary between workflows; some might be less than 2 seconds, while some might take several minutes.

When calling the API, the params object can't be empty. If nothing else is specified, change the seed value.

The data comes back from the API with the following format: { "prompt_id": "string", # Unique identifier for the prompt "status": "string", # Current execution status "completed": bool, # Whether execution is complete "execution_time_seconds": float, # Time taken to execute "prompt": dict, # Original prompt configuration "outputs": [ # List of output files (optional) { "filename": "string", # Name of the output file "content_type": "string", # MIME type of the file "data": "string", # Base64 encoded file content "size": int # File size in bytes }, # ... potentially multiple output files ] }

ViewComfy documentation:

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FILE: other_resources/guide_to_setting_up_and_using_ViewComfy_API.md
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Deploying your workflow
The first thing you will need to do is to deploy your ComfyUI workflow on your ViewComfy dashboard using the workflow_api.json file.

Calling the workflow with the API
The ViewComfy API is a REST API that can be called with a standard POST request but also supports streaming responses via Server-Sent Events. This second option allows for real-time tracking of the ComfyUI logs.

Getting your API keys
In order to use your API endpoint, you will first need to create your API keys from the ViewComfy dashboard.

2. Extracting your workflow parameters