Add some tesla pascal GPUs to the fp16 working but slower list.

comfy/model_management.py

@@ -753,7 +753,7 @@ def should_use_fp16(device=None, model_params=0, prioritize_performance=True, ma
     #FP16 is confirmed working on a 1080 (GP104) but it's a bit slower than FP32 so it should only be enabled
     #when the model doesn't actually fit on the card
     #TODO: actually test if GP106 and others have the same type of behavior
-    nvidia_10_series = ["1080", "1070", "titan x", "p3000", "p3200", "p4000", "p4200", "p5000", "p5200", "p6000", "1060", "1050"]
+    nvidia_10_series = ["1080", "1070", "titan x", "p3000", "p3200", "p4000", "p4200", "p5000", "p5200", "p6000", "1060", "1050", "p40", "p100", "p6", "p4"]
     for x in nvidia_10_series:
         if x in props.name.lower():
             fp16_works = True