From Prompt to Game-Ready Asset: My Text-to-3D Workflow After 50 Generations

Описание и применение

Автор описывает рабочий процесс генерации игровых 3D-активов с помощью текстовых запросов, подчеркивая важность пакетной генерации и выбора по силуэту.

Задача

Many text-to-3D demos hide that half of generations produce mangled geometry or export settings break UVs, making it hard to reliably generate game-ready assets.

Результат

The workflow reduces geometry problems and saves time by avoiding single-prompt mistakes and focusing on silhouette selection.

Рабочий процесс

• Batch prompts: run the same prompt through 3–4 generations in one session.
• Select the best result based on silhouette alone.
• Fix texture quality later if needed.
• Export with correct settings to preserve UVs.
• Iterate until a game-ready asset is achieved.

Доказательства

Everyone sees the demos. Type "cyberpunk street food stall", wait 60 seconds, get a 3D model. What the demos don't show is the half of generations that produce mangled geometry, or the export settings that silently break your UVs.

Источник

For any asset the game actually needs, I run the same prompt through 3-4 generations in one session, then pick based on silhouette alone — texture quality is easy to fix later, geometry isn't.

Источник