diff --git a/comfy/lora.py b/comfy/lora.py
index 2c8d0f0bf..3760f79f0 100644
--- a/comfy/lora.py
+++ b/comfy/lora.py
@@ -326,6 +326,34 @@ def model_lora_keys_unet(model, key_map={}):
                 key_map["transformer.{}".format(key_lora)] = k
                 key_map["lycoris_{}".format(key_lora.replace(".", "_"))] = k #SimpleTuner lycoris format
 
+    if isinstance(model, comfy.model_base.Krea2):
+        krea2_rename = {
+            "first": "img_in", "tmlp.0": "time_embed.linear_1", "tmlp.2": "time_embed.linear_2",
+            "tproj.1": "time_mod_proj", "txtmlp.1": "txt_in.linear_1", "txtmlp.3": "txt_in.linear_2",
+            "last.linear": "final_layer.linear",
+        }
+        krea2_sub = {
+            "txtfusion.": "text_fusion.", ".mlp.": ".ff.",
+            ".attn.wq": ".attn.to_q", ".attn.wk": ".attn.to_k", ".attn.wv": ".attn.to_v",
+            ".attn.gate": ".attn.to_gate", ".attn.wo": ".attn.to_out.0",
+        }
+        for k in sdk:
+            if not (k.startswith("diffusion_model.") and k.endswith(".weight")):
+                continue
+            name = k[len("diffusion_model."):-len(".weight")]
+            if name in krea2_rename:
+                name = krea2_rename[name]
+            else:
+                if name.startswith("blocks."):
+                    name = "transformer_" + name  # only the top-level blocks; not txtfusion's *_blocks
+                for a, b in krea2_sub.items():
+                    name = name.replace(a, b)
+            names = [name, name[:-2]] if name.endswith(".attn.to_out.0") else [name]  # some tools drop the ".0"
+            for n in names:
+                key_map[n] = k                                         # bare diffusers name
+                key_map["transformer.{}".format(n)] = k                # diffusers "transformer." prefix
+                key_map["lycoris_{}".format(n.replace(".", "_"))] = k  # SimpleTuner lycoris format
+
     if isinstance(model, comfy.model_base.Lumina2):
         diffusers_keys = comfy.utils.z_image_to_diffusers(model.model_config.unet_config, output_prefix="diffusion_model.")
         for k in diffusers_keys: