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README.md

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+---
+base_model:
+- krea/Krea-2-Turbo
+tags:
+- lora
+library_name: diffusers
+---
+
+```
+- 0.01 weight = +1×
+- 0.1 weight  = +10×
+- 1.0 weight  = +100×
+```
+

pytorch_lora_weights.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c3eeb6ef85bf1b569183c4b0337d97152e8b1fa2e32da5a30095380d5de6e13
+size 268

reproduce.py

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+# /// script
+# requires-python = ">=3.14"
+# dependencies = [
+#     "huggingface-hub>=1",
+#     "numpy>2",
+#     "safetensors>=0.8",
+#     "torch>2",
+# ]
+#
+# [[tool.uv.index]]
+# url = "https://download.pytorch.org/whl/cpu"
+# ///
+
+import huggingface_hub
+import safetensors
+import safetensors.torch
+import torch
+
+with safetensors.safe_open(
+    filename=huggingface_hub.hf_hub_download(
+        repo_id="krea/Krea-2-Turbo",
+        filename="transformer/diffusion_pytorch_model-00001-of-00003.safetensors",
+    ),
+    framework="pt",
+) as sft:
+    lora: dict[str, torch.Tensor] = {}
+    proj: torch.Tensor = sft.get_tensor("text_fusion.projector.weight")
+    lora["transformer.text_fusion.projector.lora_A.weight"] = proj
+    lora["transformer.text_fusion.projector.lora_B.weight"] = proj.new_tensor([[100.0]])
+    safetensors.torch.save_file(lora, "pytorch_lora_weights.safetensors")