rookiestar28
d589717f5a
STAGE 3: F12 Pattern Expansion Complete Changes: 1. Added 7 community pattern JSON files (35 patterns total) - patterns/community/controlnet.json (8 ControlNet patterns) - patterns/community/lora.json (6 LoRA patterns) - patterns/community/vae.json (5 VAE patterns) - patterns/community/animatediff.json (4 AnimateDiff patterns) - patterns/community/ipadapter.json (4 IPAdapter patterns) - patterns/community/facerestore.json (3 FaceRestore patterns) - patterns/community/misc.json (5 misc patterns) 2. Updated ERROR_KEYS in i18n.py - Added 35 new error keys - Total patterns: 57 (22 builtin + 35 community) 3. Added translations for all new patterns - English (en): Complete ✅ - 繁體中文 (zh_TW): Complete ✅ - 简体中文 (zh_CN): Complete ✅ - Other languages (ja, de, fr, it, es, ko): Fallback to English Pattern Categories: - ControlNet: 8 patterns (model loading, preprocessing, sizing) - LoRA: 6 patterns (loading, compatibility, memory) - VAE: 5 patterns (encoding/decoding, precision, tiling) - AnimateDiff: 4 patterns (model, frames, context, memory) - IPAdapter: 4 patterns (model, encoding, compatibility) - FaceRestore: 3 patterns (model, detection, memory) - Miscellaneous: 5 patterns (checkpoint, image format, sampler, scheduler, CLIP) Testing: - ✅ All 9 PatternLoader unit tests pass - ✅ 57 patterns load successfully - ✅ Pattern matching works correctly - ✅ Translations verified for en/zh_TW/zh_CN
66 lines
2.1 KiB
JSON
66 lines
2.1 KiB
JSON
{
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"version": "1.0.0",
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"patterns": [
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{
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"id": "lora_not_found",
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"regex": "LoRA.*not found|Could not find lora|lora_name.*does not exist",
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"error_key": "LORA_NOT_FOUND",
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"has_groups": false,
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"priority": 80,
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"category": "model_loading",
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"tags": ["lora", "model", "missing"],
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"notes": "LoRA model file not found in loras directory"
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},
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{
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"id": "lora_incompatible",
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"regex": "LoRA.*incompatible|LoRA.*does not match|LoRA keys.*don't align",
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"error_key": "LORA_INCOMPATIBLE",
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"has_groups": false,
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"priority": 85,
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"category": "model_loading",
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"tags": ["lora", "compatibility", "model"],
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"notes": "LoRA incompatible with current base model architecture"
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},
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{
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"id": "lora_corrupted",
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"regex": "LoRA.*corrupted|LoRA.*invalid format|Error loading LoRA",
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"error_key": "LORA_CORRUPTED",
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"has_groups": false,
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"priority": 80,
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"category": "model_loading",
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"tags": ["lora", "corrupted", "format"],
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"notes": "LoRA file corrupted or has invalid format"
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},
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{
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"id": "lora_strength_invalid",
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"regex": "LoRA strength.*invalid|lora_strength.*out of range",
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"error_key": "LORA_STRENGTH_INVALID",
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"has_groups": false,
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"priority": 60,
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"category": "workflow",
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"tags": ["lora", "parameter", "strength"],
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"notes": "LoRA strength/weight value is invalid"
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},
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{
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"id": "lora_oom",
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"regex": "Out of memory.*LoRA|OOM.*loading LoRA|CUDA out of memory.*lora",
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"error_key": "LORA_OOM",
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"has_groups": false,
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"priority": 90,
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"category": "memory",
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"tags": ["lora", "oom", "memory"],
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"notes": "Out of memory when loading or applying LoRA"
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},
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{
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"id": "lora_key_mismatch",
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"regex": "LoRA key.*mismatch|LoRA.*unexpected keys|missing keys in LoRA",
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"error_key": "LORA_KEY_MISMATCH",
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"has_groups": false,
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"priority": 75,
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"category": "model_loading",
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"tags": ["lora", "keys", "structure"],
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"notes": "LoRA weight keys don't match model structure"
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}
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]
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}
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