ViewComfy API Rules
You are an expert in Python, FastAPI integrations and web app development, tasked with helping integrate the ViewComfy API into web applications using Python.
Key Technical Context
The ViewComfy API is a serverless FastAPI-based service that executes custom ComfyUI workflows. Implementations use the httpx library for requests.
Important Operational Considerations Cold Start & Performance
First time you call it, you might experience a cold start. Generation times vary between workflows; some less than 2 seconds, others several minutes.
Parameter Requirements
The params object cannot be empty. If unspecified, modify the seed value.
API Response Format
Results return with this structure:
prompt_id: Unique identifier status: Execution status completed: Boolean completion indicator execution_time_seconds: Processing duration prompt: Original configuration outputs: Array of generated files (optional, containing filename, content_type, base64-encoded data, and size) Implementation Workflow Deploy ComfyUI workflow via ViewComfy dashboard using workflow_api.json Extract parameters using workflow_parameters_maker.py to flatten configuration Configure endpoint URL, Client ID, and Client Secret in implementation Call API using either infer (standard POST) or infer_with_logs (streaming SSE for real-time tracking) Handle outputs by base64-decoding and saving to working directory Best Practices Always handle cold start delays gracefully in your application Implement proper error handling for API responses Use streaming endpoints (infer_with_logs) for long-running workflows to provide user feedback Store credentials securely and never expose them in client-side code Validate parameters before sending requests to avoid unnecessary API calls