Update app.py
Browse files
app.py
CHANGED
|
@@ -11,22 +11,34 @@ import tempfile
|
|
| 11 |
import random
|
| 12 |
import re
|
| 13 |
|
| 14 |
-
|
|
|
|
| 15 |
try:
|
| 16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
try:
|
| 18 |
-
|
| 19 |
-
except ImportError:
|
| 20 |
-
# Alternative Import-Methode
|
| 21 |
import sys
|
| 22 |
sys.path.append(".")
|
| 23 |
from controlnet_facefix import apply_facefix
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 27 |
except Exception as e:
|
| 28 |
-
print(f"
|
| 29 |
FACEFIX_AVAILABLE = False
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
|
| 31 |
# === OPTIMIERTE EINSTELLUNGEN ===
|
| 32 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
|
@@ -97,15 +109,24 @@ def auto_negative_prompt(positive_prompt):
|
|
| 97 |
base_negatives = "low quality, worst quality, blurry, jpeg artifacts, ugly, deformed"
|
| 98 |
|
| 99 |
return base_negatives + ", " + ", ".join(negatives) if negatives else base_negatives
|
|
|
|
| 100 |
|
| 101 |
-
# === PERSONEN-ERKENNUNG (für Face-Fix) ===
|
| 102 |
def is_person_prompt(prompt: str) -> bool:
|
| 103 |
p = prompt.lower()
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
]
|
| 108 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 109 |
|
| 110 |
# === GESICHTSMASKEN-FUNKTIONEN ===
|
| 111 |
def create_face_mask(image, bbox_coords, face_preserve):
|
|
|
|
| 11 |
import random
|
| 12 |
import re
|
| 13 |
|
| 14 |
+
|
| 15 |
+
# === FACE-FIX IMPORT - MIT DETAILLIERTEM DEBUGGING ===
|
| 16 |
try:
|
| 17 |
+
print("Versuch 1: Importiere controlnet_facefix...")
|
| 18 |
+
from controlnet_facefix import apply_facefix
|
| 19 |
+
FACEFIX_AVAILABLE = True
|
| 20 |
+
print("✅ Face-Fix erfolgreich geladen")
|
| 21 |
+
except ImportError as e1:
|
| 22 |
+
print(f"❌ ImportError: {e1}")
|
| 23 |
try:
|
| 24 |
+
print("Versuch 2: Import mit sys.path...")
|
|
|
|
|
|
|
| 25 |
import sys
|
| 26 |
sys.path.append(".")
|
| 27 |
from controlnet_facefix import apply_facefix
|
| 28 |
+
FACEFIX_AVAILABLE = True
|
| 29 |
+
print("✅ Face-Fix erfolgreich geladen (mit sys.path)")
|
| 30 |
+
except Exception as e2:
|
| 31 |
+
print(f"❌ Endgültiger Fehler: {e2}")
|
| 32 |
+
FACEFIX_AVAILABLE = False
|
| 33 |
+
import traceback
|
| 34 |
+
traceback.print_exc()
|
| 35 |
except Exception as e:
|
| 36 |
+
print(f"❌ Anderer Fehler: {e}")
|
| 37 |
FACEFIX_AVAILABLE = False
|
| 38 |
+
import traceback
|
| 39 |
+
traceback.print_exc()
|
| 40 |
+
|
| 41 |
+
|
| 42 |
|
| 43 |
# === OPTIMIERTE EINSTELLUNGEN ===
|
| 44 |
device = "cuda" if torch.cuda.is_available() else "cpu"
|
|
|
|
| 109 |
base_negatives = "low quality, worst quality, blurry, jpeg artifacts, ugly, deformed"
|
| 110 |
|
| 111 |
return base_negatives + ", " + ", ".join(negatives) if negatives else base_negatives
|
| 112 |
+
|
| 113 |
|
|
|
|
| 114 |
def is_person_prompt(prompt: str) -> bool:
|
| 115 |
p = prompt.lower()
|
| 116 |
+
print(f"DEBUG: Prüfe '{p}' auf Personen...")
|
| 117 |
+
|
| 118 |
+
# EINFACHE Version die garantiert funktioniert:
|
| 119 |
+
keywords = ["fairy", "person", "man", "woman", "face", "portrait"]
|
| 120 |
+
|
| 121 |
+
for keyword in keywords:
|
| 122 |
+
if keyword in p: # Einfach 'in' ohne Leerzeichen
|
| 123 |
+
print(f"✅ Person erkannt durch '{keyword}'")
|
| 124 |
+
return True
|
| 125 |
+
|
| 126 |
+
print(f"❌ Keine Person erkannt")
|
| 127 |
+
return False
|
| 128 |
+
|
| 129 |
+
|
| 130 |
|
| 131 |
# === GESICHTSMASKEN-FUNKTIONEN ===
|
| 132 |
def create_face_mask(image, bbox_coords, face_preserve):
|