[Flux2] Fix LoRA loading for Flux2 Klein by adaptively enumerating transformer blocks

src/diffusers/loaders/lora_conversion_utils.py

@@ -2321,8 +2321,14 @@ def _convert_non_diffusers_flux2_lora_to_diffusers(state_dict):
     prefix = "diffusion_model."
     original_state_dict = {k[len(prefix) :]: v for k, v in state_dict.items()}
 
-    num_double_layers = 8
-    num_single_layers = 48
+    num_double_layers = 0
+    num_single_layers = 0
+    for key in original_state_dict.keys():
+        if key.startswith("single_blocks."):
+            num_single_layers = max(num_single_layers, int(key.split('.')[1])+1)
+        elif key.startswith("double_blocks."):
+            num_double_layers = max(num_double_layers, int(key.split('.')[1])+1)
+
     lora_keys = ("lora_A", "lora_B")
     attn_types = ("img_attn", "txt_attn")