fix: auto download model

acestep/handler.py

@@ -365,6 +365,11 @@ class AceStepHandler:
 
             # 1. Load main model
             # config_path is relative path (e.g., "acestep-v15-turbo"), concatenate to checkpoints directory
+            # If config_path is None (HuggingFace Space with empty checkpoint), use default and auto-download
+            if config_path is None:
+                config_path = "acestep-v15-turbo"
+                logger.info(f"[initialize_service] config_path is None, using default: {config_path}")
+
             acestep_v15_checkpoint_path = os.path.join(checkpoint_dir, config_path)
 
             # Auto-download model if not exists (HuggingFace Space support)

acestep/llm_inference.py

@@ -309,7 +309,7 @@ class LLMHandler:
         try:
             if device == "auto":
                 device = "cuda" if torch.cuda.is_available() else "cpu"
-            
+
             self.device = device
             self.offload_to_cpu = offload_to_cpu
             # Set dtype based on device: bfloat16 for cuda, float32 for cpu
@@ -317,7 +317,12 @@ class LLMHandler:
                 self.dtype = torch.bfloat16 if device in ["cuda", "xpu"] else torch.float32
             else:
                 self.dtype = dtype
-            
+
+            # If lm_model_path is None, use default
+            if lm_model_path is None:
+                lm_model_path = "acestep-5Hz-lm-1.7B"
+                logger.info(f"[initialize] lm_model_path is None, using default: {lm_model_path}")
+
             full_lm_model_path = os.path.join(checkpoint_dir, lm_model_path)
             if not os.path.exists(full_lm_model_path):
                 return f"❌ 5Hz LM model not found at {full_lm_model_path}", False