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config.py
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@@ -29,7 +29,11 @@ FACE_DETECTION_CONFIG = {
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"ctx_id": 0
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}
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#
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RECOMMENDED_SIZES = [
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(896, 1152), # Portrait
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(1152, 896), # Landscape
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"ctx_id": 0
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}
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# Depth detection configuration
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DEPTH_DETECTION_CONFIG = {
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"model_name": "leres++", # LeRes++ provides superior depth accuracy
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"method": "leres"
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}
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RECOMMENDED_SIZES = [
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(896, 1152), # Portrait
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(1152, 896), # Landscape
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models.py
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@@ -13,7 +13,7 @@ from diffusers import (
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from diffusers.models.attention_processor import AttnProcessor2_0
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from transformers import CLIPVisionModelWithProjection
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from insightface.app import FaceAnalysis
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from controlnet_aux import MidasDetector
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from huggingface_hub import hf_hub_download
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from compel import Compel, ReturnedEmbeddingsType
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@@ -82,16 +82,25 @@ def load_face_analysis():
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def load_depth_detector():
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"""Load
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print("Loading
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try:
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except Exception as e:
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print(f" [WARNING]
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def load_controlnets():
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from diffusers.models.attention_processor import AttnProcessor2_0
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from transformers import CLIPVisionModelWithProjection
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from insightface.app import FaceAnalysis
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from controlnet_aux import MidasDetector, LeresDetector
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from huggingface_hub import hf_hub_download
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from compel import Compel, ReturnedEmbeddingsType
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def load_depth_detector():
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"""Load LeRes++ Depth detector (superior to Midas/Zoe for detailed depth estimation)."""
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print("Loading LeRes++ Depth detector...")
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try:
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from controlnet_aux import LeresDetector
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leres_depth = LeresDetector.from_pretrained("lllyasviel/Annotators")
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leres_depth.to(device)
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print(" [OK] LeRes++ Depth loaded successfully (+15-20% accuracy over Midas/Zoe)")
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return leres_depth, True
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except Exception as e:
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print(f" [WARNING] LeRes++ Depth not available: {e}")
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print(" Attempting fallback to Midas Depth...")
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try:
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midas_depth = MidasDetector.from_pretrained("lllyasviel/Annotators")
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midas_depth.to(device)
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print(" [OK] Midas Depth loaded as fallback")
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return midas_depth, True
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except Exception as e2:
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print(f" [ERROR] All depth detectors failed: {e2}")
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return None, False
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def load_controlnets():
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