Fix auto mode model selection issues

videogen

@@ -3753,12 +3753,22 @@ def select_best_model(gen_type, models, vram_gb=24, prefer_quality=True, return_
             # Check VRAM compatibility using base model requirements
             # LoRAs add a small overhead (~1-2GB)
             vram_est = parse_vram_estimate(base_model_info.get("vram", "~10 GB")) + 2
-            if vram_est > vram_gb * 1.1:  # Allow 10% margin
+            if vram_est > vram_gb:  # No margin - only allow models that fit within available VRAM
                 continue
             
             # Get capabilities from base model
             base_caps = detect_model_type(base_model_info)
             
+            # Check if base model supports the required generation type
+            if gen_type_str == "t2v" and not base_caps["t2v"]:
+                continue
+            elif gen_type_str == "i2v" and not base_caps["i2v"]:
+                continue
+            elif gen_type_str == "t2i" and not base_caps["t2i"]:
+                continue
+            elif gen_type_str == "i2i" and not base_caps["i2i"]:
+                continue
+            
             # Score the LoRA
             score = 0
             reasons = []
@@ -3895,7 +3905,7 @@ def select_best_model(gen_type, models, vram_gb=24, prefer_quality=True, return_
             # Non-LoRA model handling (original logic)
             # Check VRAM compatibility
             vram_est = parse_vram_estimate(info.get("vram", "~10 GB"))
-            if vram_est > vram_gb * 1.1:  # Allow 10% margin
+            if vram_est > vram_gb:  # No margin - only allow models that fit within available VRAM
                 continue
             
             # Check model capabilities