5e4348ebc1
- Add extra positive/negative prompt textareas to all 9 detail pages with session persistence - Add Endless generation button to all detail pages (continuous preview generation until stopped) - Default character selector to "Random Character" on all secondary detail pages - Fix queue clear endpoint (remove spurious auth check) - Refactor app.py into routes/ and services/ modules - Update CLAUDE.md with new architecture documentation - Various data file updates and cleanup Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
import random
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ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif', 'webp'}
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_LORA_DEFAULTS = {
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'characters': '/ImageModels/lora/Illustrious/Looks',
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'outfits': '/ImageModels/lora/Illustrious/Clothing',
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'actions': '/ImageModels/lora/Illustrious/Poses',
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'styles': '/ImageModels/lora/Illustrious/Styles',
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'scenes': '/ImageModels/lora/Illustrious/Backgrounds',
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'detailers': '/ImageModels/lora/Illustrious/Detailers',
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}
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_IDENTITY_KEYS = ['base_specs', 'hair', 'eyes', 'hands', 'arms', 'torso', 'pelvis', 'legs', 'feet', 'extra']
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_WARDROBE_KEYS = ['full_body', 'headwear', 'top', 'bottom', 'legwear', 'footwear', 'hands', 'gloves', 'accessories']
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def allowed_file(filename):
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return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
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def parse_orientation(orientation_str):
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if not orientation_str: return []
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m_count = orientation_str.upper().count('M')
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f_count = orientation_str.upper().count('F')
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total = m_count + f_count
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tags = []
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# Gender counts
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if m_count == 1: tags.append("1boy")
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elif m_count > 1: tags.append(f"{m_count}boys")
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if f_count == 1: tags.append("1girl")
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elif f_count > 1: tags.append(f"{f_count}girls")
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# Relationships/Group type
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if total == 1:
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tags.append("solo")
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elif total > 1:
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if m_count > 0 and f_count > 0:
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tags.append("hetero")
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elif f_count > 1 and m_count == 0:
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tags.append("yuri")
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elif m_count > 1 and f_count == 0:
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tags.append("yaoi")
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return tags
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def _resolve_lora_weight(lora_data, override=None):
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"""Return effective LoRA weight, randomising between min/max when they differ.
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If *override* is provided it takes absolute precedence (used by the Strengths
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Gallery to pin a specific value for each step).
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"""
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if override is not None:
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return float(override)
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weight = float(lora_data.get('lora_weight', 1.0))
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min_w = lora_data.get('lora_weight_min')
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max_w = lora_data.get('lora_weight_max')
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if min_w is not None and max_w is not None:
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min_w, max_w = float(min_w), float(max_w)
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if min_w != max_w:
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weight = random.uniform(min(min_w, max_w), max(min_w, max_w))
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return weight
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