Update app.py

app.py

@@ -42,6 +42,10 @@ LORA_FILES = {
 }
 DEFAULT_LORA_A_STRENGTH = 0.0
 DEFAULT_LORA_B_STRENGTH = 0.0
+# Some `diffusion_model.blocks.*` checkpoints store SwiGLU's fc1 gate/value halves in the opposite order
+# diffusers expects. Leave off first; if the LoRA's effect looks inverted/broken rather than just weak or
+# strong, set H3_LORA_SWAP_FC1=1 and compare.
+SWAP_FC1_HALVES = os.environ.get("H3_LORA_SWAP_FC1", "0") == "1"
 
 # Must stay identical to the conditioner's table: the *label* goes over the wire, so a canvas that half does not
 # know is rejected there and surfaces as a failure here. This is the workflow's "Target Dimension" node.