Mood Gallery Art Generation

What Problem It Addresses

When the only input is an emotion such as 'lonely summer night', a decorative painting may lack a defensible visual rationale. This skill treats mood as the starting point, expands it into subject, environment, light, color, material, and composition, and produces a clean, printable artwork without text.

How It Works

The generation flow is asynchronous:
- Mood-to-visual reasoning: derive a structured visual plan from the core mood.
- Prompt fusion: merge that plan with fixed template constraints to create an English image prompt.
- Async rendering: submit the task with execute_task.py and receive only a task_id.
- Polling: query with query_task.py every 5 seconds, with a 600-second timeout, until the final art URL is available.
Without a showapi_appkey, a one-shot mock response is returned for preview only and does not use those scripts.

Scope and Notes

It fits home, commercial, and abstract mood visualization use cases that require text-free pure art; it is not suitable for copy-heavy brand visuals or synchronous delivery. mood is required, and the final image contains no text or design elements.