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{
"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
}
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