Create convert_lora.py

convert_lora.py

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+from safetensors.torch import load_file, save_file
+import torch
+
+# --- Input and output file paths ---
+src = "hlpvWkBrqzopjecZbuVIA_pytorch_lora_weights.safetensors"
+dst = "hlpvWkBrqzopjecZbuVIA_pytorch_lora_weights_sdxl.safetensors"
+
+# --- Load original LoRA weights ---
+weights = load_file(src)
+new_weights = {}
+
+# --- Simple rename mapping for SDXL ---
+for k, v in weights.items():
+    k2 = k.replace("lora_unet_", "unet.") \
+          .replace("lora_te_", "text_encoder.") \
+          .replace("lora_te2_", "text_encoder_2.")
+    new_weights[k2] = v.clone()
+
+# --- Save as SDXL-compatible LoRA ---
+save_file(new_weights, dst)
+print(f"✅ Converted and saved as {dst}")