reset memory estimation for radiance to 1

backend/chromadct_memory_strategy.py

@@ -165,7 +165,7 @@ def get_chromadct_inference_memory_multiplier() -> float:
     if is_chromadct_model(None):
         # ChromaDCT processes in pixel space (3 channels) vs latent space (16 channels)
         # and has more efficient NeRF processing
-        return 0.4  # 40% of normal inference memory requirement
+        return 1  # reset
     return 1.0
 
 

backend/memory_management.py

@@ -731,7 +731,7 @@ def minimum_inference_memory():
             # ChromaDCT models are more memory efficient - reduce inference memory requirement
             # ChromaDCT works in pixel space (3 channels) vs latent space (16 channels)
             # and has more efficient patch-based processing
-            chromadct_inference_memory = int(current_inference_memory * 0.4)  # 40% of normal requirement
+            chromadct_inference_memory = int(current_inference_memory * 1)  # reset
             
             # Only print message once per session
             if not hasattr(minimum_inference_memory, '_chromadct_message_shown'):