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Stefy Lanza (nextime / spora ) authored
Two changes to the Run-page character/environment generation: 1. Generate FROM SCRATCH via the text model instead of the built-in static pool. stage_characters/stage_environments always iterated FIGHTER_POOL/ ENVIRONMENT_POOL and used their hardcoded (pre-fallback) prompts — the LLM was never invoked for a full run. New _invent_profiles() calls the text model (_autogen_profile_payload) to invent fresh profiles; the static pool is only a fallback when no text model is configured (with a clear warning). 2. Phase the pipeline: invent ALL prompts first, then render ALL reference images, then train image LoRAs, then video LoRAs (prompts → images → image-LoRA → video-LoRA). New _render_profile_images() does the image phase from the saved prompts; the reuse/skip paths are unchanged. num_fighters/num_environments set how many to invent (default: the pool size). (CLI main() still uses the pool-based stage_characters/stage_environments; the web Run page is the phased-from-scratch path.) Co-Authored-By:
Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RdMufYvtTbtGDWsiZVoXce
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| .. | ||
| assets | ||
| gen_township_fighters.py | ||
| manual_multimodal_test_client.py | ||
| parler_tts_service.py | ||
| review_outputs.py | ||
| video_dubber.py | ||
| video_editor.py | ||
| videogen.py |