Realism-Canopus-LoRA.ipynb

{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":147203,"status":"ok","timestamp":1722519213136,"user":{"displayName":"PRITHIV SAKTHI U R","userId":"14459745448885587654"},"user_tz":-330},"id":"2F3QxB2mR4lm","outputId":"7114a98e-6278-4c47-86e5-6521ef28ceb0"},"outputs":[{"output_type":"stream","name":"stdout","text":["Looking in links: https://download.pytorch.org/whl/torch_stable.html\n","Collecting torch==2.0.1\n","  Downloading https://download.pytorch.org/whl/rocm5.4.2/torch-2.0.1%2Brocm5.4.2-cp310-cp310-linux_x86_64.whl (1536.4 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 GB\u001b[0m \u001b[31m781.1 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting torchvision==0.15.2\n","  Downloading https://download.pytorch.org/whl/rocm5.4.2/torchvision-0.15.2%2Brocm5.4.2-cp310-cp310-linux_x86_64.whl (62.4 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.4/62.4 MB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hCollecting torchaudio==2.0.1\n","  Downloading https://download.pytorch.org/whl/rocm5.4.2/torchaudio-2.0.1%2Brocm5.4.2-cp310-cp310-linux_x86_64.whl (4.1 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.1/4.1 MB\u001b[0m \u001b[31m45.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.15.4)\n","Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (4.12.2)\n","Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (1.13.1)\n","Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.3)\n","Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.0.1) (3.1.4)\n","Collecting pytorch-triton-rocm<2.1,>=2.0.0 (from torch==2.0.1)\n","  Downloading pytorch_triton_rocm-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.1 kB)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (1.26.4)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (2.31.0)\n","Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision==0.15.2) (9.4.0)\n","INFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while.\n","Collecting torchaudio==2.0.1\n","  Downloading https://download.pytorch.org/whl/rocm5.3/torchaudio-2.0.1%2Brocm5.3-cp310-cp310-linux_x86_64.whl (4.1 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.1/4.1 MB\u001b[0m \u001b[31m97.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Downloading https://download.pytorch.org/whl/cu118/torchaudio-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl (4.4 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m26.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Downloading https://download.pytorch.org/whl/cu117/torchaudio-2.0.1%2Bcu117-cp310-cp310-linux_x86_64.whl (4.4 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.4/4.4 MB\u001b[0m \u001b[31m58.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Downloading https://download.pytorch.org/whl/cpu/torchaudio-2.0.1%2Bcpu-cp310-cp310-linux_x86_64.whl (4.1 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.1/4.1 MB\u001b[0m \u001b[31m101.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Downloading torchaudio-2.0.1-cp310-cp310-manylinux1_x86_64.whl.metadata (1.2 kB)\n","Collecting torchvision==0.15.2\n","  Downloading https://download.pytorch.org/whl/rocm5.3/torchvision-0.15.2%2Brocm5.3-cp310-cp310-linux_x86_64.whl (62.1 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.1/62.1 MB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hINFO: pip is still looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while.\n","  Downloading https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-linux_x86_64.whl (6.1 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m107.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hINFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.\n","  Downloading https://download.pytorch.org/whl/cu117/torchvision-0.15.2%2Bcu117-cp310-cp310-linux_x86_64.whl (6.1 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m30.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Downloading https://download.pytorch.org/whl/cpu/torchvision-0.15.2%2Bcpu-cp310-cp310-linux_x86_64.whl (1.5 MB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m72.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25h  Downloading torchvision-0.15.2-cp310-cp310-manylinux1_x86_64.whl.metadata (11 kB)\n","\u001b[31mERROR: Cannot install torch==2.0.1, torchaudio==2.0.1, torchaudio==2.0.1+cpu, torchaudio==2.0.1+cu117, torchaudio==2.0.1+cu118, torchaudio==2.0.1+rocm5.3, torchaudio==2.0.1+rocm5.4.2 and torchvision==0.15.2 because these package versions have conflicting dependencies.\u001b[0m\u001b[31m\n","\u001b[0m\n","The conflict is caused by:\n","    The user requested torch==2.0.1\n","    torchvision 0.15.2 depends on torch==2.0.1\n","    torchaudio 2.0.1+rocm5.4.2 depends on torch==2.0.0\n","    The user requested torch==2.0.1\n","    torchvision 0.15.2 depends on torch==2.0.1\n","    torchaudio 2.0.1+rocm5.3 depends on torch==2.0.0\n","    The user requested torch==2.0.1\n","    torchvision 0.15.2 depends on torch==2.0.1\n","    torchaudio 2.0.1+cu118 depends on torch==2.0.0\n","    The user requested torch==2.0.1\n","    torchvision 0.15.2 depends on torch==2.0.1\n","    torchaudio 2.0.1+cu117 depends on torch==2.0.0\n","    The user requested torch==2.0.1\n","    torchvision 0.15.2 depends on torch==2.0.1\n","    torchaudio 2.0.1+cpu depends on torch==2.0.0\n","    The user requested torch==2.0.1\n","    torchvision 0.15.2 depends on torch==2.0.1\n","    torchaudio 2.0.1 depends on torch==2.0.0\n","\n","To fix this you could try to:\n","1. loosen the range of package versions you've specified\n","2. remove package versions to allow pip to attempt to solve the dependency conflict\n","\n","\u001b[31mERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts\u001b[0m\u001b[31m\n","\u001b[0mCollecting spaces\n","  Downloading spaces-0.29.2-py3-none-any.whl.metadata (1.0 kB)\n","Collecting gradio (from spaces)\n","  Downloading gradio-4.40.0-py3-none-any.whl.metadata (15 kB)\n","Collecting httpx>=0.20 (from spaces)\n","  Downloading httpx-0.27.0-py3-none-any.whl.metadata (7.2 kB)\n","Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from spaces) (24.1)\n","Requirement already satisfied: psutil<6,>=2 in /usr/local/lib/python3.10/dist-packages (from spaces) (5.9.5)\n","Requirement already satisfied: pydantic<3,>=1 in /usr/local/lib/python3.10/dist-packages (from spaces) (2.8.2)\n","Requirement already 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gradio-4.40.0\n","Successfully installed gradio-4.39.0 gradio-client-1.1.1 websockets-11.0.3\n","Requirement already satisfied: safetensors in /usr/local/lib/python3.10/dist-packages (0.4.3)\n","Collecting pipeline\n","  Downloading pipeline-0.1.0-py3-none-any.whl.metadata (483 bytes)\n","Downloading pipeline-0.1.0-py3-none-any.whl (2.6 kB)\n","Installing collected packages: pipeline\n","Successfully installed pipeline-0.1.0\n","Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (0.32.1)\n","Requirement already satisfied: numpy<2.0.0,>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.26.4)\n","Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (24.1)\n","Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n","Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) 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nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12\n","Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.5.82 nvidia-nvtx-cu12-12.1.105\n","Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.42.4)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.15.4)\n","Requirement already satisfied: huggingface-hub<1.0,>=0.23.2 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.23.5)\n","Requirement already satisfied: numpy<2.0,>=1.17 in 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/usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.13.0->peft) (1.3.0)\n","Downloading peft-0.12.0-py3-none-any.whl (296 kB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m296.4/296.4 kB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: peft\n","Successfully installed peft-0.12.0\n","Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.23.5)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (3.15.4)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2024.6.1)\n","Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (24.1)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (6.0.1)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2.31.0)\n","Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.66.4)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.12.2)\n","Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.3.2)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.7)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2.0.7)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2024.7.4)\n"]}],"source":["# Installing Required Packages # Connected Runtime to T4 GPU\n","# HPC (A100) - Not Available, Normal GPU Acceleration. $Available only for Pro\n","!pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.1 -f https://download.pytorch.org/whl/torch_stable.html\n","!pip install spaces\n","!pip install diffusers==0.29.2\n","!pip install gradio==4.39.0\n","!pip install safetensors\n","!pip install pipeline\n","!pip install accelerate\n","# Install transformers\n","!pip install transformers\n","# Install peft\n","!pip install peft\n","# Authenticate with Hugging Face Pypi\n","!pip install huggingface_hub"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1106,"status":"ok","timestamp":1722519393423,"user":{"displayName":"PRITHIV SAKTHI U R","userId":"14459745448885587654"},"user_tz":-330},"id":"t9IM-Bm2TfAF","outputId":"8b5de894-8ef8-4480-a32d-98711e5443bc"},"outputs":[{"output_type":"stream","name":"stdout","text":["The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n","Token is valid (permission: fineGrained).\n","Your token has been saved to /root/.cache/huggingface/token\n","Login successful\n"]}],"source":["# Authenticate with Hugging Face\n","from huggingface_hub import login\n","\n","# Log in to Hugging Face using the provided token\n","hf_token = '----------------------'\n","login(hf_token)"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["6df130f483824ac4bdad6fbfb910c958","72ace11e0082462aa2cf29e44d330f42","f1e38c9903b1429abd0322449ebea5a2","e9413413bfe848078d556ef0e3dd56d8","fdab90c325194117b3c3ff7773823e6c","b5e1e839a8ba470ab3c8d983ef02433b","1be7260ab25a445ca626d6890bb65566","caa215dd8da74ecc81cb31cff7bbc87f","6109a67661484fe999f8be647ecbb795","ec1be7304ab444ef918f3c06a59f18bb","f70e7f403b254d6b8311257ca4ebb9db","d4e1fc0d6a1a45d8ac25cc58ffe423a4","046faa028ef7433da49a7be4d36235f9","3f9bc5dbb1c84f0f94c5314c3ba7030f","b02ab1845f5d4e7aa69adc1e10e2919d","b1480dea46fa46d48113c2b2ba43d2c8","b0cb6c10bfd3461fbbde28319ebb3bc0","368d53078677499d8648e621d4522274","4b929656179446569776ad0121bf9d97","8154925b121749fcb09fd7917387c3fc","b8deed97aad243ce81c212a40180acff","e5d4a75a44fb4a66bf6aa39951284dac","8f0009054b1c49aa8d3c638790d5148d","4fe4ab14529a4f30ac40de2274e86b62","0b5896157e924b3ea857821d065cc95a","44b6013c20eb43388f656ade89d18783","30e2d31f1f604499ba1d1bac7ab60702","23d626296df047e8a9b3b64c3170f16f","1c456a49d7dd4e25bd0b9d85667991ca","b8431a879cdc49c9bc9987b2b7dfbd37","214af4f2a19a40559ab24aff50d9224e","dfcb2bd71eae47e38f3412cae18a1f8a","0de7cf4038f2434c9872352cadfed6de","ff70651551d64ec59b1795841e320a8d","6a875f1294ae423184c722b323d33bc3","02ad0773cd124dc3bed435d19fe59b6c","83695b2b4baf4ec596180124a3392efe","8eb10cad5cd94ee181e87ac7269d403c","43a4ba3a0c4b48679268180dfe937239","f9ed1b281eef4e07aa4084b2b4652980","b06455efff6f4633b1186241baad5567","d6f29a38b36e48c18c9a4be03f3e1da5","0cbdf112d94b4ce7b17aa0340748e799","3ef4a8ae66794b6eab9fbe5a9c3c1f4d","acbe68ce22754d7987d6440894a63071","5c8717e481e146b9b2c611579d606722","3d727044a8584d08ac6de1e3793afe34","6cfbf241e53d47fd861704b6e91f4d8b","841c6f307aa9450aac97c74d0c57e051","8dbc67cc528b45aaac1aff98ded1ceac","d25493433fcd4206ad33cbe6c472cde8","5925814a2efd4faabed30383609b176e","07df1340a3dc4736a949253fac8df6b2","ddd624b566f74b2c9feabd388eee4b10","dae54d7a945d44c692a3946923a6d3b8","03a67283ea7949bfb16da5cc0c2b3843","a2fabd10943644ccb0b1da974568b47f","078d76df8fd342388cf4892dc86db091","300ad93d6d074b088eaa07a109f89ff5","fa4458c2f2dc4a25b40ce60662194531","8cd308f6224c4eaf93e7a1cc67b49b6c","9b8e359441cc40899beb1c5135fc9c7d","ab14aee0f5284ea190c64a43417b70d6","c94f799d6ec646519aaa6860134a5f7f","78163fa42f7346dfa18f9ca83568f901","df2ba0fd167a41f392cbe26ff8082ea3","c66edbf737dc478bb7ff7410733aee90","e760c1f7a73a45ce9ce7515c3cccf4d5","59e558eeefdc4d989c060a3b96007860","ae1f27023a754084ab068b08b3097ccb","f5c8047af1914d5cbcad4d6d319fd6fd","b6d51a1e71d2437bb6e118cde12e04aa","1c60c3f918704d3e864caa87d1440be6","04781ae722984b1db5eac713153ba45a","f90f3c28570344c4af20afa74575de3c","0f6af1bb925b47df9f86ff2f26f3c95d","1dd64706b3af4cf8b6aa0eb687447a1a","42779ccefe6544fb969a18333c41de54","8164e4b714ab4ccc86616235614604b8","c65e253750934799852765e31a32eec2","9d20be252d774128a806ac5b56b05591","b53352f93a5741289ceecaf9f066add6","d6db2da6976848939039f90a9022e3c5","a0d75a57118c4939b01c00546e6cc2ca","680eef8db6944b4794c51caa7991a973","9eb170cd39d146b4a28992ff35581924","e946345bdbf44010a5de14dfe3db20c4","0722d37a361c4c92b879c7721714597a","24a159dbd2ab4c9aa23e694cdda636f4","261328f40ef442d8956edcc57abd3adf","21b1d466c32441bc82ff19a086542e96","1a46cb4971b64ddd82be3f57c0c91d2b","030af47e06974f1c9d0fb70a6ac4dfb9","fa218f008a244c2e9a29a85072d953bc","23db9dff66874a558ac5ea2b32babbb2","ede954a798b84183a63f1323f2cb2f99","9c8941b281904bb58063f634a08aebf2","2f10006b5bfb45eabf04ec87f4766cbc","14ec7a45ae6a49c99407df138b37b629","dba55a5ff6734451a71f87eda1b84a87","81ce6e52082745d4b113463820cd1f71","25cf47dd627c4eb7b8419cde45e3817f","88f1d1084d41475196575d8b0d2b2fbd","c7e253a4e8f948eca5a2a4b0a39001aa","2ea53dcc7de54ae7a05523e921b81aed","6d663f33f4f84afb817a9c1949f3ffe7","bc143f779aa24b8aba1d7adcdba526f5","0a44303ccc4b43acb10434efdc6486d7","852f8cf0f01f434eb93da45e67184cef","185ca0bca70b437f9c0ca2cc79d1eaae","a6ddc56b2cbe4b79aa57a3e169489de8","52cfb45a520d4c4293b90655358833c5","94ad402569c149a8b7303f185296c4ad","9881ae106e494719a68da05ad97f8145","4641226b7d5644fc90e4dc927ce2c4c8","9125d2b98b084eac83a7a95facceec5a","bac5b082d3704017a998dac65eeae66f","811ef028bd27457f99dbab3eddcdc529","08761c9e356e44aea19645403874e94d","2299880b1bb147398c91b116f53a3a20","831faafc665a49b2bce191f8d4a02f5c","fcf25f8f07d14d59b80c458a0b39443f","b93e50f838454457b695eba0c3015df6","f5b519c4726946f4bc6eb68bc15d0b54","6c6aba4dc3754ce48d24dc6d59337e80","b0ea0fe3072449d2b82105fe259081b1","db9dd17973a3460c8e7eda01c65c0f60","8a1e907304a745f490f7d0d37759c6ef","46b31617566744db807d68f3e0c5f5cd","17e7f19bde3b45f683b41a8d6ddda680","6784ddd210a9488b84dfcd662abccda4","5246c5c6e2914dd8917b755db97c893d","4402dd47a040486aa576f41b73f35026","121e169ad4074c038d44c112bcceb6fb","b02a8e4de7ad436b97c7dcabc78adcdb","3f5d0803ea9142dda17b78733743b14f","0e69ab3877914b26aca66c7d943cae9c","63aa9a462b054a04a06bec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SAKTHI U R","userId":"14459745448885587654"}},"outputId":"a6c7155f-ee51-4b95-f548-30b20f09e062"},"outputs":[{"output_type":"stream","name":"stderr","text":["The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n"]},{"output_type":"display_data","data":{"text/plain":["0it [00:00, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"6df130f483824ac4bdad6fbfb910c958"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n","  warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["model_index.json:   0%|       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?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"139fb16b61684b5f9acadb6022d939b5"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["diffusion_pytorch_model.safetensors:   0%|          | 0.00/335M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"67c2716ff9834b56a10a30a4a1681a63"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Loading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"8cb0dab5ed1f45248b22ec287653502e"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Canopus-Realism-LoRA.safetensors:   0%|          | 0.00/456M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"369ed5825d22400abb5236c58201ca61"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/spaces/zero/decorator.py:72: UserWarning: `enable_queue` parameter is now ignored and always set to `True`\n","  warnings.warn(\"`enable_queue` parameter is now ignored and always set to `True`\")\n"]},{"output_type":"stream","name":"stdout","text":["Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n","\n","Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n","Running on public URL: https://eda13e315dfe8702a6.gradio.live\n","\n","This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["<div><iframe src=\"https://eda13e315dfe8702a6.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"]},"metadata":{}}],"source":["import os\n","import random\n","import uuid\n","from typing import Tuple\n","import gradio as gr\n","import numpy as np\n","from PIL import Image\n","import spaces\n","import torch\n","from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler\n","\n","DESCRIPTION = \"\"\"## Photorealistic Image Generation\n","\"\"\"\n","\n","def save_image(img):\n","    unique_name = str(uuid.uuid4()) + \".png\"\n","    img.save(unique_name)\n","    return unique_name\n","\n","def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:\n","    if randomize_seed:\n","        seed = random.randint(0, MAX_SEED)\n","    return seed\n","\n","MAX_SEED = np.iinfo(np.int32).max\n","\n","if not torch.cuda.is_available():\n","    DESCRIPTION += \"\\n<p>⚠️Running on CPU, This may not work on CPU.</p>\"\n","\n","USE_TORCH_COMPILE = 0\n","ENABLE_CPU_OFFLOAD = 0\n","\n","if torch.cuda.is_available():\n","    pipe = StableDiffusionXLPipeline.from_pretrained(\n","        \"SG161222/RealVisXL_V4.0_Lightning\",\n","        torch_dtype=torch.float16,\n","        use_safetensors=True,\n","    )\n","    pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)\n","    pipe.load_lora_weights(\"prithivMLmods/Canopus-Realism-LoRA\", weight_name=\"Canopus-Realism-LoRA.safetensors\", adapter_name=\"rlms\")\n","    pipe.set_adapters(\"rlms\")\n","    pipe.to(\"cuda\")\n","\n","style_list = [\n","    {\n","        \"name\": \"3840 x 2160\",\n","        \"prompt\": \"hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic\",\n","        \"negative_prompt\": \"cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly\",\n","    },\n","    {\n","        \"name\": \"2560 x 1440\",\n","        \"prompt\": \"hyper-realistic 4K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic\",\n","        \"negative_prompt\": \"cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly\",\n","    },\n","    {\n","        \"name\": \"HD+\",\n","        \"prompt\": \"hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic\",\n","        \"negative_prompt\": \"cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly\",\n","    },\n","    {\n","        \"name\": \"Style Zero\",\n","        \"prompt\": \"{prompt}\",\n","        \"negative_prompt\": \"\",\n","    },\n","]\n","\n","styles = {k[\"name\"]: (k[\"prompt\"], k[\"negative_prompt\"]) for k in style_list}\n","\n","DEFAULT_STYLE_NAME = \"3840 x 2160\"\n","STYLE_NAMES = list(styles.keys())\n","\n","def apply_style(style_name: str, positive: str, negative: str = \"\") -> Tuple[str, str]:\n","    if style_name in styles:\n","        p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])\n","    else:\n","        p, n = styles[DEFAULT_STYLE_NAME]\n","\n","    if not negative:\n","        negative = \"\"\n","    return p.replace(\"{prompt}\", positive), n + negative\n","\n","@spaces.GPU(duration=60, enable_queue=True)\n","def generate(\n","    prompt: str,\n","    negative_prompt: str = \"\",\n","    use_negative_prompt: bool = False,\n","    seed: int = 0,\n","    width: int = 1024,\n","    height: int = 1024,\n","    guidance_scale: float = 3,\n","    randomize_seed: bool = False,\n","    style_name: str = DEFAULT_STYLE_NAME,\n","    progress=gr.Progress(track_tqdm=True),\n","):\n","    seed = int(randomize_seed_fn(seed, randomize_seed))\n","\n","    positive_prompt, effective_negative_prompt = apply_style(style_name, prompt, negative_prompt)\n","\n","    if not use_negative_prompt:\n","        effective_negative_prompt = \"\"  # type: ignore\n","\n","    images = pipe(\n","        prompt=positive_prompt,\n","        negative_prompt=effective_negative_prompt,\n","        width=width,\n","        height=height,\n","        guidance_scale=guidance_scale,\n","        num_inference_steps=20,\n","        num_images_per_prompt=1,\n","        cross_attention_kwargs={\"scale\": 0.65},\n","        output_type=\"pil\",\n","    ).images\n","    image_paths = [save_image(img) for img in images]\n","    print(image_paths)\n","    return image_paths, seed\n","\n","examples = [\n","    \"A man in ski mask, in the style of smokey background, androgynous, imaginative prison scenes, light indigo and black, close-up, michelangelo, street-savvy  --ar 125:187 --v 5.1 --style raw\",\n","    \"Photography, front view, dynamic range, female model, upper-body, black T-shirt, dark khaki cargo pants, urban backdrop, dusk, dramatic sunlights, bokeh, cityscape, photorealism, natural, UHD --ar 9:16 --stylize 300\"\n","]\n","\n","css = '''\n",".gradio-container{max-width: 545px !important}\n","h1{text-align:center}\n","footer {\n","    visibility: hidden\n","}\n","'''\n","\n","with gr.Blocks(css=css) as demo:\n","    with gr.Group():\n","        with gr.Row():\n","            prompt = gr.Text(\n","                label=\"Prompt\",\n","                show_label=False,\n","                max_lines=1,\n","                placeholder=\"Enter your prompt with realism tag!\",\n","                container=False,\n","            )\n","            run_button = gr.Button(\"Run\", scale=0)\n","        result = gr.Gallery(label=\"Result\", columns=1, preview=True, show_label=False)\n","\n","    with gr.Accordion(\"Advanced options\", open=False, visible=False):\n","        use_negative_prompt = gr.Checkbox(label=\"Use negative prompt\", value=True)\n","        negative_prompt = gr.Text(\n","            label=\"Negative prompt\",\n","            lines=4,\n","            max_lines=6,\n","            value=\"(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation\",\n","            placeholder=\"Enter a negative prompt\",\n","            visible=True,\n","        )\n","        seed = gr.Slider(\n","            label=\"Seed\",\n","            minimum=0,\n","            maximum=MAX_SEED,\n","            step=1,\n","            value=0,\n","            visible=True\n","        )\n","        randomize_seed = gr.Checkbox(label=\"Randomize seed\", value=True)\n","\n","        with gr.Row(visible=True):\n","            width = gr.Slider(\n","                label=\"Width\",\n","                minimum=512,\n","                maximum=2048,\n","                step=8,\n","                value=1024,\n","            )\n","            height = gr.Slider(\n","                label=\"Height\",\n","                minimum=512,\n","                maximum=2048,\n","                step=8,\n","                value=1024,\n","            )\n","\n","        with gr.Row():\n","            guidance_scale = gr.Slider(\n","                label=\"Guidance Scale\",\n","                minimum=0.1,\n","                maximum=20.0,\n","                step=0.1,\n","                value=3.0,\n","            )\n","\n","        style_selection = gr.Radio(\n","            show_label=True,\n","            container=True,\n","            interactive=True,\n","            choices=STYLE_NAMES,\n","            value=DEFAULT_STYLE_NAME,\n","            label=\"Quality Style\",\n","        )\n","\n","    gr.Examples(\n","        examples=examples,\n","        inputs=prompt,\n","        outputs=[result, seed],\n","        fn=generate,\n","        cache_examples=False,\n","    )\n","\n","    use_negative_prompt.change(\n","        fn=lambda x: gr.update(visible=x),\n","        inputs=use_negative_prompt,\n","        outputs=negative_prompt,\n","        api_name=False,\n","    )\n","\n","    gr.on(\n","        triggers=[\n","            prompt.submit,\n","            negative_prompt.submit,\n","            run_button.click,\n","        ],\n","        fn=generate,\n","        inputs=[\n","            prompt,\n","            negative_prompt,\n","            use_negative_prompt,\n","            seed,\n","            width,\n","            height,\n","            guidance_scale,\n","            randomize_seed,\n","            style_selection,\n","        ],\n","        outputs=[result, seed],\n","        api_name=\"run\",\n","    )\n","\n","if __name__ == \"__main__\":\n","    demo.queue(max_size=40).launch()"]}],"metadata":{"accelerator":"GPU","colab":{"gpuType":"T4","provenance":[],"authorship_tag":"ABX9TyNCU6XQkGcutcsMjz8ziyQF"},"kernelspec":{"display_name":"Python 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