{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from safetensors import safe_open\n",
    "\n",
    "lora = {}\n",
    "with safe_open(\"/data2/bjh/diffusion-pipe/cosmos_test/20250327_02-37-25/epoch5/adapter_model.safetensors\", framework=\"pt\", device='cpu') as f:\n",
    "    for k in f.keys():\n",
    "        lora[k] = f.get_tensor(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "tensors = {}\n",
    "with safe_open(\"/data2/bjh/ComfyUI/models/diffusion_models/Cosmos-1_0-Diffusion-14B-Text2World.safetensors\", framework=\"pt\", device='cpu') as f:\n",
    "    for k in f.keys():\n",
    "        tensors[k] = f.get_tensor(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1152"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lora)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_lis = []\n",
    "for k in lora:\n",
    "    a = k.split('.')[1:][:-2]\n",
    "    name = '.'.join(a)\n",
    "    name_lis.append(name)\n",
    "name_lis=set(name_lis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "new_dic = {}\n",
    "for k in tensors:\n",
    "    name='.'.join(k.split('.')[1:][:-1])\n",
    "    if name in name_lis:\n",
    "        a,b = lora['diffusion_model.'+name+'.lora_A.weight'],lora['diffusion_model.'+name+'.lora_B.weight']\n",
    "        new_dic[k]=tensors[k]+torch.matmul(b,a)\n",
    "    else:\n",
    "        new_dic[k]=tensors[k]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from safetensors.torch import save_file\n",
    "save_file(new_dic,'test.safetensors')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dp",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}