config.py

import torch

class Config:
    # Hardware
    DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
    DTYPE = torch.float16 if DEVICE == "cuda" else torch.float32

    # Base Model & Style LoRA
    REPO_ID = "primerz/pixagram" 
    CHECKPOINT_FILENAME = "reality.safetensors"
    LORA_FILENAME = "retroart.safetensors"
    LORA_STRENGTH = 1.25
    
    # Trigger Words for the LoRA
    STYLE_TRIGGER = "p1x3l4rt, pixel art"
    
    # Default Negative Prompt
    DEFAULT_NEGATIVE_PROMPT = "Ugly, artifacts, blurry, disformed, photo-realistic, photo, photography, realistic, low-quality, pixelart, text."

    # InstantID Assets
    INSTANTID_REPO = "InstantX/InstantID"
    
    # ControlNet Repos
    CN_ZOE_REPO = "diffusers/controlnet-zoe-depth-sdxl-1.0"
    CN_CANNY_REPO = "diffusers/controlnet-canny-sdxl-1.0"
    CN_LINEART_REPO = "ShermanG/ControlNet-Standard-Lineart-for-SDXL"
    
    # Regular IP-Adapter (for style transfer)
    IP_ADAPTER_REPO = "h94/IP-Adapter"
    IP_ADAPTER_FILENAME = "ip-adapter_sdxl.bin"
    
    # Preprocessor (Annotator) Repo
    ANNOTATOR_REPO = "lllyasviel/Annotators"
    
    # Captioning Model
    CAPTIONER_REPO = "Salesforce/blip-image-captioning-base"
    
    # InsightFace Model (HF Hub mirror)
    ANTELOPEV2_REPO = "DIAMONIK7777/antelopev2"
    ANTELOPEV2_ROOT = "."
    ANTELOPEV2_NAME = "antelopev2"
    
    # TCD Optimized Defaults
    CGF_SCALE = 4.0  # Good for TCD + LoRA
    STEPS_NUMBER = 8
    IMG_STRENGTH = 0.8
    DEPTH_STRENGTH = 0.8
    EDGE_STRENGTH = 0.8
    
    # Control Type Options
    EDGE_TYPES = ["canny", "lineart", "both"]  # New: Support multiple edge detection types
    DEFAULT_EDGE_TYPE = "canny"
    
    # IP-Adapter Settings
    INSTANTID_SCALE = 0.8  # For face preservation
    STYLE_IP_SCALE = 0.5   # For style transfer