diff --git a/pipelines/model_flux2_klein.py b/pipelines/model_flux2_klein.py
index 3a238805b..a6bae4a51 100644
--- a/pipelines/model_flux2_klein.py
+++ b/pipelines/model_flux2_klein.py
@@ -1,8 +1,25 @@
 import transformers
 import diffusers
+from diffusers.loaders.single_file_utils import convert_flux2_transformer_checkpoint_to_diffusers
 from modules import shared, devices, sd_models, model_quant, sd_hijack_te, sd_hijack_vae
 from modules.logger import log
 from pipelines import generic
+from pipelines.native_transformer import TransformerSpec
+
+
+# Klein shares Flux2Transformer2DModel with full Flux 2, but uses a smaller
+# config (hidden_size and friends). diffusers' from_single_file picks the
+# class default (= Flux 2 full), so loading a Klein-shaped community file
+# crashes at load_model_dict_into_meta with a shape mismatch like
+# "expected (36864, 6144), got (24576, 4096)". Routing through
+# native_transformer pulls the Klein transformer/config.json from the base
+# repo first and instantiates Flux2Transformer2DModel at the right size,
+# then runs the diffusers Flux 2 converter to split fused QKV blocks and
+# rename BFL keys into the diffusers-expected names.
+FLUX2_KLEIN_SPEC = TransformerSpec(
+    cls=diffusers.Flux2Transformer2DModel,
+    converter=convert_flux2_transformer_checkpoint_to_diffusers,
+)
 
 
 def load_flux2_klein(checkpoint_info, diffusers_load_config=None):
@@ -15,7 +32,7 @@ def load_flux2_klein(checkpoint_info, diffusers_load_config=None):
     log.debug(f'Load model: type=Flux2Klein repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} args={load_args}')
 
     # Load transformer - Klein uses Flux2Transformer2DModel (same class as Flux2, different size)
-    transformer = generic.load_transformer(repo_id, cls_name=diffusers.Flux2Transformer2DModel, load_config=diffusers_load_config)
+    transformer = generic.load_transformer(repo_id, cls_name=diffusers.Flux2Transformer2DModel, load_config=diffusers_load_config, native_spec=FLUX2_KLEIN_SPEC)
 
     # Load text encoder - Klein uses Qwen3 (4B for Klein-4B, 8B for Klein-9B)
     text_encoder = generic.load_text_encoder(repo_id, cls_name=transformers.Qwen3ForCausalLM, load_config=diffusers_load_config)