Don't automatically switch to lowvram mode on GPUs with low memory.

comfy/model_management.py

@@ -119,10 +119,6 @@ def get_total_memory(dev=None, torch_total_too=False):
 total_vram = get_total_memory(get_torch_device()) / (1024 * 1024)
 total_ram = psutil.virtual_memory().total / (1024 * 1024)
 logging.info("Total VRAM {:0.0f} MB, total RAM {:0.0f} MB".format(total_vram, total_ram))
-if not args.normalvram and not args.cpu:
-    if lowvram_available and total_vram <= 4096:
-        logging.warning("Trying to enable lowvram mode because your GPU seems to have 4GB or less. If you don't want this use: --normalvram")
-        set_vram_to = VRAMState.LOW_VRAM
 
 try:
     OOM_EXCEPTION = torch.cuda.OutOfMemoryError
@@ -451,9 +447,7 @@ def load_models_gpu(models, memory_required=0, force_patch_weights=False):
             model_size = loaded_model.model_memory_required(torch_dev)
             current_free_mem = get_free_memory(torch_dev)
             lowvram_model_memory = int(max(64 * (1024 * 1024), (current_free_mem - 1024 * (1024 * 1024)) / 1.3 ))
-            if model_size > (current_free_mem - inference_memory): #only switch to lowvram if really necessary
+            if model_size <= (current_free_mem - inference_memory): #only switch to lowvram if really necessary
-                vram_set_state = VRAMState.LOW_VRAM
-            else:
                 lowvram_model_memory = 0
 
         if vram_set_state == VRAMState.NO_VRAM: