{
"cells": [
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"diffusion_pytorch_model.bin: 1%| | 41.9M/3.44G [00:04<05:46, 9.81MB/s]\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mc:\\Users\\texas\\Desktop\\School\\SceneFusion\\AnimateDiff-SceneFusion\\notebook.ipynb Cell 1\u001b[0m line \u001b[0;36m6\n\u001b[0;32m 3\u001b[0m files \u001b[39m=\u001b[39m [\u001b[39m\"\u001b[39m\u001b[39mconfig.json\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdiffusion_pytorch_model.bin\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdiffusion_pytorch_model.fp16.bin\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdiffusion_pytorch_model.fp16.safetensors\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdiffusion_pytorch_model.non_ema.bin\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdiffusion_pytorch_model.non_ema.safetensors\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mdiffusion_pytorch_model.safetensors\u001b[39m\u001b[39m\"\u001b[39m]\n\u001b[0;32m 5\u001b[0m \u001b[39mfor\u001b[39;00m file \u001b[39min\u001b[39;00m files:\n\u001b[1;32m----> 6\u001b[0m huggingface_hub\u001b[39m.\u001b[39;49mhf_hub_download(\u001b[39m\"\u001b[39;49m\u001b[39mrunwayml/stable-diffusion-v1-5\u001b[39;49m\u001b[39m\"\u001b[39;49m, file, subfolder\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39munet\u001b[39;49m\u001b[39m\"\u001b[39;49m, local_dir\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39munet\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\huggingface_hub\\utils\\_validators.py:118\u001b[0m, in \u001b[0;36mvalidate_hf_hub_args.._inner_fn\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[39mif\u001b[39;00m check_use_auth_token:\n\u001b[0;32m 116\u001b[0m kwargs \u001b[39m=\u001b[39m smoothly_deprecate_use_auth_token(fn_name\u001b[39m=\u001b[39mfn\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m, has_token\u001b[39m=\u001b[39mhas_token, kwargs\u001b[39m=\u001b[39mkwargs)\n\u001b[1;32m--> 118\u001b[0m \u001b[39mreturn\u001b[39;00m fn(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\huggingface_hub\\file_download.py:1461\u001b[0m, in \u001b[0;36mhf_hub_download\u001b[1;34m(repo_id, filename, subfolder, repo_type, revision, library_name, library_version, cache_dir, local_dir, local_dir_use_symlinks, user_agent, force_download, force_filename, proxies, etag_timeout, resume_download, token, local_files_only, legacy_cache_layout, endpoint)\u001b[0m\n\u001b[0;32m 1458\u001b[0m \u001b[39mif\u001b[39;00m local_dir \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 1459\u001b[0m _check_disk_space(expected_size, local_dir)\n\u001b[1;32m-> 1461\u001b[0m http_get(\n\u001b[0;32m 1462\u001b[0m url_to_download,\n\u001b[0;32m 1463\u001b[0m temp_file,\n\u001b[0;32m 1464\u001b[0m proxies\u001b[39m=\u001b[39;49mproxies,\n\u001b[0;32m 1465\u001b[0m resume_size\u001b[39m=\u001b[39;49mresume_size,\n\u001b[0;32m 1466\u001b[0m headers\u001b[39m=\u001b[39;49mheaders,\n\u001b[0;32m 1467\u001b[0m expected_size\u001b[39m=\u001b[39;49mexpected_size,\n\u001b[0;32m 1468\u001b[0m )\n\u001b[0;32m 1470\u001b[0m \u001b[39mif\u001b[39;00m local_dir \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 1471\u001b[0m logger\u001b[39m.\u001b[39mdebug(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mStoring \u001b[39m\u001b[39m{\u001b[39;00murl\u001b[39m}\u001b[39;00m\u001b[39m in cache at \u001b[39m\u001b[39m{\u001b[39;00mblob_path\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\huggingface_hub\\file_download.py:541\u001b[0m, in \u001b[0;36mhttp_get\u001b[1;34m(url, temp_file, proxies, resume_size, headers, expected_size, _nb_retries)\u001b[0m\n\u001b[0;32m 539\u001b[0m new_resume_size \u001b[39m=\u001b[39m resume_size\n\u001b[0;32m 540\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 541\u001b[0m \u001b[39mfor\u001b[39;00m chunk \u001b[39min\u001b[39;00m r\u001b[39m.\u001b[39miter_content(chunk_size\u001b[39m=\u001b[39mDOWNLOAD_CHUNK_SIZE):\n\u001b[0;32m 542\u001b[0m \u001b[39mif\u001b[39;00m chunk: \u001b[39m# filter out keep-alive new chunks\u001b[39;00m\n\u001b[0;32m 543\u001b[0m progress\u001b[39m.\u001b[39mupdate(\u001b[39mlen\u001b[39m(chunk))\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\requests\\models.py:816\u001b[0m, in \u001b[0;36mResponse.iter_content..generate\u001b[1;34m()\u001b[0m\n\u001b[0;32m 814\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mraw, \u001b[39m\"\u001b[39m\u001b[39mstream\u001b[39m\u001b[39m\"\u001b[39m):\n\u001b[0;32m 815\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 816\u001b[0m \u001b[39myield from\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mraw\u001b[39m.\u001b[39mstream(chunk_size, decode_content\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n\u001b[0;32m 817\u001b[0m \u001b[39mexcept\u001b[39;00m ProtocolError \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m 818\u001b[0m \u001b[39mraise\u001b[39;00m ChunkedEncodingError(e)\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\urllib3\\response.py:934\u001b[0m, in \u001b[0;36mHTTPResponse.stream\u001b[1;34m(self, amt, decode_content)\u001b[0m\n\u001b[0;32m 932\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 933\u001b[0m \u001b[39mwhile\u001b[39;00m \u001b[39mnot\u001b[39;00m is_fp_closed(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fp) \u001b[39mor\u001b[39;00m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_decoded_buffer) \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[1;32m--> 934\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mread(amt\u001b[39m=\u001b[39;49mamt, decode_content\u001b[39m=\u001b[39;49mdecode_content)\n\u001b[0;32m 936\u001b[0m \u001b[39mif\u001b[39;00m data:\n\u001b[0;32m 937\u001b[0m \u001b[39myield\u001b[39;00m data\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\urllib3\\response.py:877\u001b[0m, in \u001b[0;36mHTTPResponse.read\u001b[1;34m(self, amt, decode_content, cache_content)\u001b[0m\n\u001b[0;32m 874\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_decoded_buffer) \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m amt:\n\u001b[0;32m 875\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_decoded_buffer\u001b[39m.\u001b[39mget(amt)\n\u001b[1;32m--> 877\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_raw_read(amt)\n\u001b[0;32m 879\u001b[0m flush_decoder \u001b[39m=\u001b[39m amt \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mor\u001b[39;00m (amt \u001b[39m!=\u001b[39m \u001b[39m0\u001b[39m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m data)\n\u001b[0;32m 881\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m data \u001b[39mand\u001b[39;00m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_decoded_buffer) \u001b[39m==\u001b[39m \u001b[39m0\u001b[39m:\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\urllib3\\response.py:812\u001b[0m, in \u001b[0;36mHTTPResponse._raw_read\u001b[1;34m(self, amt)\u001b[0m\n\u001b[0;32m 809\u001b[0m fp_closed \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fp, \u001b[39m\"\u001b[39m\u001b[39mclosed\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39mFalse\u001b[39;00m)\n\u001b[0;32m 811\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_error_catcher():\n\u001b[1;32m--> 812\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_fp_read(amt) \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m fp_closed \u001b[39melse\u001b[39;00m \u001b[39mb\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 813\u001b[0m \u001b[39mif\u001b[39;00m amt \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m amt \u001b[39m!=\u001b[39m \u001b[39m0\u001b[39m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m data:\n\u001b[0;32m 814\u001b[0m \u001b[39m# Platform-specific: Buggy versions of Python.\u001b[39;00m\n\u001b[0;32m 815\u001b[0m \u001b[39m# Close the connection when no data is returned\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 820\u001b[0m \u001b[39m# not properly close the connection in all cases. There is\u001b[39;00m\n\u001b[0;32m 821\u001b[0m \u001b[39m# no harm in redundantly calling close.\u001b[39;00m\n\u001b[0;32m 822\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fp\u001b[39m.\u001b[39mclose()\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\urllib3\\response.py:797\u001b[0m, in \u001b[0;36mHTTPResponse._fp_read\u001b[1;34m(self, amt)\u001b[0m\n\u001b[0;32m 794\u001b[0m \u001b[39mreturn\u001b[39;00m buffer\u001b[39m.\u001b[39mgetvalue()\n\u001b[0;32m 795\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 796\u001b[0m \u001b[39m# StringIO doesn't like amt=None\u001b[39;00m\n\u001b[1;32m--> 797\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_fp\u001b[39m.\u001b[39;49mread(amt) \u001b[39mif\u001b[39;00m amt \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fp\u001b[39m.\u001b[39mread()\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\http\\client.py:466\u001b[0m, in \u001b[0;36mHTTPResponse.read\u001b[1;34m(self, amt)\u001b[0m\n\u001b[0;32m 463\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlength \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m amt \u001b[39m>\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlength:\n\u001b[0;32m 464\u001b[0m \u001b[39m# clip the read to the \"end of response\"\u001b[39;00m\n\u001b[0;32m 465\u001b[0m amt \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlength\n\u001b[1;32m--> 466\u001b[0m s \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfp\u001b[39m.\u001b[39;49mread(amt)\n\u001b[0;32m 467\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m s \u001b[39mand\u001b[39;00m amt:\n\u001b[0;32m 468\u001b[0m \u001b[39m# Ideally, we would raise IncompleteRead if the content-length\u001b[39;00m\n\u001b[0;32m 469\u001b[0m \u001b[39m# wasn't satisfied, but it might break compatibility.\u001b[39;00m\n\u001b[0;32m 470\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_close_conn()\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\socket.py:705\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[1;34m(self, b)\u001b[0m\n\u001b[0;32m 703\u001b[0m \u001b[39mwhile\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[0;32m 704\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 705\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_sock\u001b[39m.\u001b[39;49mrecv_into(b)\n\u001b[0;32m 706\u001b[0m \u001b[39mexcept\u001b[39;00m timeout:\n\u001b[0;32m 707\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_timeout_occurred \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\ssl.py:1307\u001b[0m, in \u001b[0;36mSSLSocket.recv_into\u001b[1;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[0;32m 1303\u001b[0m \u001b[39mif\u001b[39;00m flags \u001b[39m!=\u001b[39m \u001b[39m0\u001b[39m:\n\u001b[0;32m 1304\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 1305\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m\n\u001b[0;32m 1306\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m)\n\u001b[1;32m-> 1307\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mread(nbytes, buffer)\n\u001b[0;32m 1308\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 1309\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mrecv_into(buffer, nbytes, flags)\n",
"File \u001b[1;32mc:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\ssl.py:1163\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[1;34m(self, len, buffer)\u001b[0m\n\u001b[0;32m 1161\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 1162\u001b[0m \u001b[39mif\u001b[39;00m buffer \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m-> 1163\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_sslobj\u001b[39m.\u001b[39;49mread(\u001b[39mlen\u001b[39;49m, buffer)\n\u001b[0;32m 1164\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 1165\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_sslobj\u001b[39m.\u001b[39mread(\u001b[39mlen\u001b[39m)\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"import huggingface_hub\n",
"\n",
"files = [\"config.json\", \"diffusion_pytorch_model.bin\", \"diffusion_pytorch_model.fp16.bin\", \"diffusion_pytorch_model.fp16.safetensors\", \"diffusion_pytorch_model.non_ema.bin\", \"diffusion_pytorch_model.non_ema.safetensors\", \"diffusion_pytorch_model.safetensors\"]\n",
"\n",
"for file in files:\n",
" huggingface_hub.hf_hub_download(\"runwayml/stable-diffusion-v1-5\", file, subfolder=\"unet\", local_dir=\"unet\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading...\n",
"From (uriginal): https://drive.google.com/uc?id=1RqkQuGPaCO5sGZ6V6KZ-jUWmsRu48Kdq\n",
"From (redirected): https://drive.google.com/uc?id=1RqkQuGPaCO5sGZ6V6KZ-jUWmsRu48Kdq&confirm=t&uuid=462a3e11-53f4-4fa7-814e-39c97b936081\n",
"To: c:\\Users\\texas\\Desktop\\School\\SceneFusion\\AnimateDiff-SceneFusion\\models\\Motion_Module\n",
"\n",
" 0%| | 0.00/1.67G [00:00triton==2.0.0) (4.8.0)\n",
"triton is already installed with the same version as the provided wheel. Use --force-reinstall to force an installation of the wheel.\n"
]
}
],
"source": [
"!python -m pip install triton-2.0.0-cp310-cp310-win_amd64.whl"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"import triton"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# download the unet model from the runwayml model hub\n",
"unet = "
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"HI\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"NOTE: Redirects are currently not supported in Windows or MacOs.\n",
"[W C:\\cb\\pytorch_1000000000000\\work\\torch\\csrc\\distributed\\c10d\\socket.cpp:601] [c10d] The client socket has failed to connect to [Bryant-Laptop]:29500 (system error: 10049 - The requested address is not valid in its context.).\n",
"[W C:\\cb\\pytorch_1000000000000\\work\\torch\\csrc\\distributed\\c10d\\socket.cpp:601] [c10d] The client socket has failed to connect to [Bryant-Laptop]:29500 (system error: 10049 - The requested address is not valid in its context.).\n",
"[W C:\\cb\\pytorch_1000000000000\\work\\torch\\csrc\\distributed\\c10d\\socket.cpp:601] [c10d] The client socket has failed to connect to [Bryant-Laptop]:29500 (system error: 10049 - The requested address is not valid in its context.).\n",
"[W C:\\cb\\pytorch_1000000000000\\work\\torch\\csrc\\distributed\\c10d\\socket.cpp:601] [c10d] The client socket has failed to connect to [Bryant-Laptop]:29500 (system error: 10049 - The requested address is not valid in its context.).\n",
"Traceback (most recent call last):\n",
" File \"c:\\Users\\texas\\Desktop\\School\\SceneFusion\\AnimateDiff-SceneFusion\\train.py\", line 494, in \n",
" main(name=name, launcher=args.launcher, use_wandb=args.wandb, **config)\n",
" File \"c:\\Users\\texas\\Desktop\\School\\SceneFusion\\AnimateDiff-SceneFusion\\train.py\", line 129, in main\n",
" local_rank = init_dist(launcher=launcher)\n",
" File \"c:\\Users\\texas\\Desktop\\School\\SceneFusion\\AnimateDiff-SceneFusion\\train.py\", line 51, in init_dist\n",
" dist.init_process_group(backend=backend, **kwargs)\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\distributed_c10d.py\", line 761, in init_process_group\n",
" default_pg = _new_process_group_helper(\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\distributed_c10d.py\", line 886, in _new_process_group_helper\n",
" raise RuntimeError(\"Distributed package doesn't have NCCL \" \"built in\")\n",
"RuntimeError: Distributed package doesn't have NCCL built in\n",
"ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 11848) of binary: c:\\Users\\texas\\anaconda3\\envs\\animatediff\\python.exe\n",
"Traceback (most recent call last):\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\runpy.py\", line 196, in _run_module_as_main\n",
" return _run_code(code, main_globals, None,\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\runpy.py\", line 86, in _run_code\n",
" exec(code, run_globals)\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\run.py\", line 766, in \n",
" main()\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\elastic\\multiprocessing\\errors\\__init__.py\", line 346, in wrapper\n",
" return f(*args, **kwargs)\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\run.py\", line 762, in main\n",
" run(args)\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\run.py\", line 753, in run\n",
" elastic_launch(\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\launcher\\api.py\", line 132, in __call__\n",
" return launch_agent(self._config, self._entrypoint, list(args))\n",
" File \"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\lib\\site-packages\\torch\\distributed\\launcher\\api.py\", line 246, in launch_agent\n",
" raise ChildFailedError(\n",
"torch.distributed.elastic.multiprocessing.errors.ChildFailedError: \n",
"============================================================\n",
"train.py FAILED\n",
"------------------------------------------------------------\n",
"Failures:\n",
" \n",
"------------------------------------------------------------\n",
"Root Cause (first observed failure):\n",
"[0]:\n",
" time : 2023-11-20_17:37:46\n",
" host : Bryant-Laptop.lan\n",
" rank : 0 (local_rank: 0)\n",
" exitcode : 1 (pid: 11848)\n",
" error_file: \n",
" traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html\n",
"============================================================\n",
"c:\\Users\\texas\\anaconda3\\envs\\animatediff\\python.exe: Error while finding module specification for 'train.py' (ModuleNotFoundError: __path__ attribute not found on 'train' while trying to find 'train.py'). Try using 'train' instead of 'train.py' as the module name.\n"
]
}
],
"source": [
"!python -m torch.distributed.run --nnodes=1 --nproc_per_node=1 train.py --config configs/training/training.yaml\n",
"!python -m train.py --config configs/training/training.yaml"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "animatediff",
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 2
}