Update generator.py

generator.py

@@ -56,13 +56,13 @@ class Generator:
         # ControlNet order: [InstantID, Zoe, LineArt]
         if face_emb is not None:
             print("Face detected: Applying InstantID.")
-            controlnet_conditioning_scale = [0.8, 0.4, 0.4] 
-            control_guidance_end = [0.4, 0.8, 0.8] # Stop InstantID early
-            self.mh.pipeline.set_ip_adapter_scale(0.8) # Set IP-Adapter (likeness) strength
+            controlnet_conditioning_scale = [0.6, 0.3, 0.3] 
+            control_guidance_end = [0.3, 0.6, 0.6] # Stop InstantID early
+            self.mh.pipeline.set_ip_adapter_scale(0.6) # Set IP-Adapter (likeness) strength
         else:
             print("No face detected: Disabling InstantID.")
-            controlnet_conditioning_scale = [0.0, 0.4, 0.4] # Disable InstantID weight
-            control_guidance_end = [0.4, 0.8, 0.8] 
+            controlnet_conditioning_scale = [0.0, 0.3, 0.3] # Disable InstantID weight
+            control_guidance_end = [0.3, 0.6, 0.6] 
             self.mh.pipeline.set_ip_adapter_scale(0.0)
             
             # --- START FIX for NoneType Error ---
@@ -79,15 +79,15 @@ class Generator:
             control_image=[processed_image, depth_map, lineart_map], # ControlNet inputs
             image_embeds=face_emb,  # Face embedding (or dummy)
             
-            strength=0.5, # <-- Img2Img strength
+            strength=0.3, # <-- Img2Img strength
             controlnet_conditioning_scale=controlnet_conditioning_scale,
             control_guidance_end=control_guidance_end,
             
             # LCM settings
-            num_inference_steps=9, 
-            guidance_scale=2.75, # <-- CFG Scale
+            num_inference_steps=6, 
+            guidance_scale=1.5, # <-- CFG Scale
             
-            clip_skip=3,
+            clip_skip=2,
             
             # --- LoRA Strength ---
             cross_attention_kwargs={"scale": 1.25}