mARTin-B78
f7264a8c07
- Deterministic hash-based character portraits and reference sheets - Implemented strict early Renaissance aesthetic controls and role-specific headwear rules - Added audiobook batch export scripts and progress tooling - Verified book profiles with a new 'confirmed' state tracking mechanism - Updated Pillow dependency for robust image handling - Configured .gitignore for audiobook and audio cache exports
53 lines
2.5 KiB
Python
53 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""Generate ten concept-sheet shared-identity character image pairs after export."""
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from __future__ import annotations
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import requests
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BASE = "http://127.0.0.1:7890"
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TARGETS = [
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 01 - Der Sturm", "Darrag"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 01 - Der Sturm", "Eolan"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 01 - Der Sturm", "Baronin Ira von Seewiesen"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 01 - Der Sturm", "Gamba"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 02 - Die Entdeckung", "Alrik von Blautann"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 02 - Die Entdeckung", "Andra"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 02 - Die Entdeckung", "Cindira"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 03 - Die Amazone", "Admiral Sanin"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 03 - Die Amazone", "Arthag"),
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("Hohlbein & Hennen - DSA - Das Jahr des Greifen 03 - Die Amazone", "Anshelm"),
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]
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def main() -> None:
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all_chars = requests.get(f"{BASE}/api/characters", timeout=30).json()["characters"]
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for book, name in TARGETS:
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item = next(c for c in all_chars if c.get("book") == book and c.get("name") == name)
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record = requests.get(f"{BASE}/api/characters/{item['id']}", timeout=30).json()
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sheet = record.get("sheet") or {}
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print(f"[{name}] generating concept profile + reference sheet", flush=True)
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response = requests.post(
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f"{BASE}/api/character-generate-consistent-images",
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json={
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"profile_prompt": sheet.get("image_prompt", ""),
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"reference_prompt": sheet.get("concept_art_prompt", ""),
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"visual_style": "concept",
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"identity_image": record.get("image", ""),
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},
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# The local Qwen graph renders the portrait and 3:2 sheet in
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# sequence; allow the app's 25-minute server-side deadline.
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timeout=1800,
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)
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response.raise_for_status()
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result = response.json()
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record["image"] = result["profile"]
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record["sheet"] = {**sheet, "concept_art_image": result["reference"]}
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saved = requests.put(f"{BASE}/api/characters/{item['id']}", json=record, timeout=60)
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saved.raise_for_status()
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print(f"[{name}] saved", flush=True)
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print("TEN CHARACTER IMAGE SAMPLES COMPLETE", flush=True)
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if __name__ == "__main__":
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main()
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