{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "55U57alsRIek", "outputId": "c263d790-ccbd-497c-8db7-d2ceedf2d11b" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.8/211.8 MB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m9.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m261.4/261.4 kB\u001b[0m \u001b[31m21.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "\n", "!pip install bitsandbytes transformers accelerate peft -q" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "9atNWUXFZlVe", "outputId": "4b3b1fab-6f8d-4ad9-fe6b-b5cb27526a0e" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n", " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n", " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Building wheel for diffusers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n" ] } ], "source": [ "!pip install git+https://github.com/huggingface/diffusers.git -q" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zQpqmq7rx3mE", "outputId": "a8066139-6e92-4225-befc-4bb5987cc55e" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "--2023-11-23 06:48:12-- https://raw.githubusercontent.com/huggingface/diffusers/main/examples/dreambooth/train_dreambooth_lora_sdxl.py\n", "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n", "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 72845 (71K) [text/plain]\n", "Saving to: ‘train_dreambooth_lora_sdxl.py’\n", "\n", "train_dreambooth_lo 100%[===================>] 71.14K --.-KB/s in 0.001s \n", "\n", "2023-11-23 06:48:12 (46.6 MB/s) - ‘train_dreambooth_lora_sdxl.py’ saved [72845/72845]\n" ] } ], "source": [ "!wget https://raw.githubusercontent.com/huggingface/diffusers/main/examples/dreambooth/train_dreambooth_lora_sdxl.py" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "TqqhZ9R9x3mG" }, "outputs": [], "source": [ "import os\n", "from google.colab import files\n", "\n", "\n", "local_dir = \"./dog/\" \n", "os.makedirs(local_dir)\n", "os.chdir(local_dir)\n", "\n", "\n", "uploaded_images = files.upload()\n", "os.chdir(\"/content\") " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 255, "referenced_widgets": [ "9a9859c3ac1f44af81db5fb5b821aee6", "2499d42c707445ff8ae3f51b16026556", "3c5e6c23bcde435ea0f820c8d4d63c11", "1cd29ae69fef4f00b74327d4b642282c", "7fb77e4194444c0c9739952e453bcba6", "fa4de672fcbb4ceea28e97abe2827f7b", "9637e8cbccb64d8c9138dcdb5e3a52c1", "93ea3a472f19449a92b8fb8db896abfe", "9d20b6328a404d3bb894abe9c1fe458b", "5bc3ce3d3de6481ba7fd0ec1eff7012e", "76dc51a005ca4e03ab51e792ca4db288", "18516eb5cb6f4d8b8094b30ae633577d", "46c4d70931204b37a9b67312048263df", "b48748776dee47fdad7226ddf933010e", "5c894c4e5c02428f807e570baae6d640", "07e1472de1974c42bc7f721825dd9c60", "2cd06d29f6914ba1bd09a1a98612d6d8", "00ddb1b212334fffa98c8717ae18c94e", "785ebbc397c7453093b810f4b60338ef", "1d29417430da4fefb424089a5fe65375", "929d24e77001416da24a05323e11e7de", "b5515a1a20124e83a30144361d5a9e3e", "758acd0c4e6141e38df22a78be883212", "aa3d2d03d4c8430abac1e9b8058c5fce", "c24a081a1e0a4dda973506d7254613ac", "391237a27e5d496799955dab5a76a0b9", "8f6326ed0b5341c581e86d88c8e043a6", "f7abc400b22f4ebd8f47b057c6b2a283", "9a90b166ef5341e19616cfd8a7805dc3", "3f3a470891d34f9ab87e1d4fe1b9932e", "07830c077c784479afcd59dfcae87687", "8055adde4617432c81771c058980d2ae", "37d80818c7ea4e59ab996a57942f0615", "7f95e47b7bbd43788e9cfed6570dfbe1", "3da311b52b9f4159a2e4cf775fb50a38", "4315465a99874d8681a49904ec80d812", "c24d62b089a940c08c120b81cc31111c", "430f2344b69a4f2dac54254582366020", "acbdc11b2de04c25b78f04e663112557", "e22adbce96cb4baa9e3cf0641fc488be", "bbcec8f9ee5a4923bc0b0b8d992be783", "e9a6d822c853426baa1664ffb50884fd", "3019c364a59940929291a348645ae6b9", "02289e74efb44aefb9df7b3fa13916ad", "2562d9fe03d343be8f2016b24de1aadc", "9fac496da01f42828436f907005cae7f", "2166b3f4d384473c8334ba7715f5c61c", "f73be3a5295a4e3f9128d1cb09a80c41", "b09ed57a45724d469398e2a93645546a", "4adb199157ca45a1adbc3e37a32e1bef", "233d2ceee8ac4ba3ba338ff8ee71b7b4", "34dcef51467644c6a572364df698dc62", "224e11b9806845e0874174942dc1b5ee", "b212a297fc64477fb05d29678ef82843", "6cbe07ba74c54b1e87c0d1381583d381", "0ebc3d3a317e416b9de9adf26dd1f8f7", "739e3b518fc844d4a8fd8e35c7777c5a", "5404fc14dd284181bd85efb189b05014", "509b855737d04166986ff765ade20377", "f56bbab3296f4c84841c5aac6b99b4f5", "aa9e7e721ecb48fc9e0d402c11cc822a", "acfe30f070534097be815dba40b64901", "f4c326893bc14424b1f2747d0e7f42f2", "995e455075fe4716b820fafaa90d28ca", "104dd3bcc2d7420ba59481f937e9af98", "2dd5daefb5c24aad8e925d33ddc5cdc6" ] }, "id": "-BC36MOBdIWO", "outputId": "a38fd182-61eb-454d-fd5d-50cb19df3e28" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9a9859c3ac1f44af81db5fb5b821aee6", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Fetching 5 files: 0%| | 0/5 [00:00" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import glob\n", "\n", "\n", "img_paths = \"./dog/*.jpeg\"\n", "imgs = [Image.open(path) for path in glob.glob(img_paths)]\n", "\n", "num_imgs_to_preview = 5\n", "image_grid(imgs[:num_imgs_to_preview], 1, num_imgs_to_preview)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 311, "referenced_widgets": [ "08cb0277a7724ad0a782529e3a1b929f", "5cf3ce3702924f99b142841812d7f739", "5d0ee26223e44c9f9fbbeb6dac6d5b0d", "333e2d13a4914c2189c514f9a0758b76", "838b59066d5e4fd189ddd594f0960fd3", "b7bd817dbc1e436c8a59d82c5148ec10", "fd8676ffe23842e88ddb7b7632331af2", "a9209dfd55d44ced8ec9647a86a6bcec", "77018507646d4890beb02d898c7ce5c8", "a973e5bf2b844c59b9d0ccf853727dff", "5758bb6401064701bcae6ea85f89132a", "e3bbd6c7582e4f3c83c074719a345733", "01fd3d6b5c8645fe822041b0a93f7d29", "1ed2293ea7ed477082f1de112ad58208", "b613861df19e44b5a1e4b95fea6b2070", "618d58179581431e9d032df138f80cdd", "6ba74817a3744cf59f15c716e1d99678", "bd892bb073634abb8ca648b73934c188", "71fe2eca70ff441280d61a5755e9f005", "b9272e18b7ce410da792f96c02868188", "da9e0703f7d24dff9c92a279493109c5", "fec546336d7b42fcbaa38d60bb21beb9", "74ad9bfa1960432c8477e540bb829ec6", "148621033ecd43caa464a1ff5e44b1af", "08de35b1df7c4dd2808d69cc3cdef71c", "8bcbd116981549baa30f9701cc105893", "d0e515928b594201b95a2218e0ec0708", "fb5ca753a72c482392fff9e3ba92da01", "994e90625a3d4cab98739644157d233c", "cf6cdb3c1b33470ab59eccd901acfc01", "fa1545a16612492eac8892f960c33efc", "cfb8ea92d049485092da2a0c72f39efe", "57a76b34c0ca42748f15de3a9ce593c5", "a70ded4f518b4bf68d04059486390fe4", "35c8463ada1b47e7b7873ab2d0a2b774", "a62d17c71a884b8da2deeff4b55e5a3e", "a2c1e494e9b74625b423c2a3dc4e3407", "c02910f8ca8646e1899aa8f81840f675", "a0f6754080b941c8857a09e5e5c64922", "719ed1674d6e4e1e93253336b742ed10", "2c62fe02b70c419c89e23646641a1e28", "11ce8ccd8e7f41a7a601859cea317fe3", "32edebcea421415dae93350722422b68", "e3bd6173408d466a95ca869088b2b718", "0f3883b8127746ff9ebbaa0811b66da1", "d97d6b22f2414a8cb1cf4ba71fb0692d", "9f25e29b688d4931a94bafc66625f777", "a93b8d95d20745ba9bd83d42755c0a53", "86bdaa0da8c04416856b4c9325e80a7a", "bffa8079ea0140e3a27ab8c6b161caac", "fff32b96cb934b0387bc4718111ae889", "c1377ca9c9f34da391b8b12223916782", "cbef8c757cb446049e9af82c3ed161b5", "56e525584a6c4bf19439532ec8e36e3c", "8c8b64dbb813404baa1c7f25943d592d", "be7b68cbc5b74df4984a9d18d39c1787", "898352ac14314f369ff4ce5effb92fac", "38e169c2b0a44d5ea92d7ecc519171ba", "75a096ad39684877bd1d99a1dadc5372", "f0a22afd70f047adafa6486abc39a760", "020d86ad45d6424386b12c609f22c4d2", "32cb02212bee4422b2a26d64024b1947", "822060b5f33d41428e24c03d835318c0", "b351150bce8e4028b48a851819edf44c", "b0d9a703f36944a293c977fed9841ee4", "b2830c87032d4789a33d650244e01acc", "334cf989046542559b0ce929dcafd41c", "dfdb89b60df543ac89137c8229e09120", "c1758562dbd8434f84df9f3fa19bbccb", "66d3c8e4bc8b49eaa5dc2e54612cd7b0", "ea573f55de994943bbc1e9640a911b4e", "9061e671864141d989629d87d2a26759", "6b1f9c375bde41d9bbc0504b9ecfc87e", "5c177bc9903c42e3b9480a6552df09f1", "8b4a483b8e2241afb73717041778ced2", "767590d6b93647ebabf24848f0afc0c1", "40c82cc1708245d692577560cd773a83", "041ff941714b4af09dcd96446f1a7678", "0d6214691d734dbda4fdc7411d78cc8c", "5bef70257f634d86af2a3b420044c918", "61d945b14ed94408a7877f36213b660e", "06f19e6c4ec044f89478a0aad66f0741", "94e0d90ed71e49369fd76a319eb4f0ed", "528d5d9441ce42e7a149ff2ac8c04117", "6f82accefd43441ba74a77afd478c7dd", "349478838b644ef781c7d8da6d5c71f5", "09dda9ec9310476d86f3ecf4aa8ed8f3", "9d6d7e867d0a4fbcabd13eaf8e86bb2e" ] }, "id": "qZK1QuLqx3mH", "outputId": "d69e853e-8231-49c6-d010-434fa6f52487" }, "outputs": [ { "name": "stderr", "output_type": "stream", "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" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "08cb0277a7724ad0a782529e3a1b929f", "version_major": 2, "version_minor": 0 }, "text/plain": [ "0it [00:00, ?it/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e3bbd6c7582e4f3c83c074719a345733", "version_major": 2, "version_minor": 0 }, "text/plain": [ "preprocessor_config.json: 0%| | 0.00/287 [00:00 \n", " sys.exit(main())\n", " File \"/usr/local/lib/python3.10/dist-packages/accelerate/commands/accelerate_cli.py\", line 47, in main\n", " args.func(args)\n", " File \"/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py\", line 994, in launch_command\n", " simple_launcher(args)\n", " File \"/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py\", line 636, in simple_launcher\n", " raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)\n", "subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth_lora_sdxl.py', '--pretrained_model_name_or_path=stabilityai/stable-diffusion-xl-base-1.0', '--pretrained_vae_model_name_or_path=madebyollin/sdxl-vae-fp16-fix', '--dataset_name=dog', '--output_dir=corgy_dog_LoRA', '--caption_column=prompt', '--mixed_precision=fp16', '--instance_prompt=a photo of TOK dog', '--resolution=1024', '--train_batch_size=1', '--gradient_accumulation_steps=3', '--gradient_checkpointing', '--learning_rate=1e-4', '--snr_gamma=5.0', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--mixed_precision=fp16', '--use_8bit_adam', '--max_train_steps=500', '--checkpointing_steps=717', '--seed=0', '--push_to_hub']' died with .\n" ] } ], "source": [ "\n", "!accelerate launch train_dreambooth_lora_sdxl.py \\\n", " --pretrained_model_name_or_path=\"stabilityai/stable-diffusion-xl-base-1.0\" \\\n", " --pretrained_vae_model_name_or_path=\"madebyollin/sdxl-vae-fp16-fix\" \\\n", " --dataset_name=\"dog\" \\\n", " --output_dir=\"corgy_dog_LoRA\" \\\n", " --caption_column=\"prompt\"\\\n", " --mixed_precision=\"fp16\" \\\n", " --instance_prompt=\"a photo of TOK dog\" \\\n", " --resolution=1024 \\\n", " --train_batch_size=1 \\\n", " --gradient_accumulation_steps=3 \\\n", " --gradient_checkpointing \\\n", " --learning_rate=1e-4 \\\n", " --snr_gamma=5.0 \\\n", " --lr_scheduler=\"constant\" \\\n", " --lr_warmup_steps=0 \\\n", " --mixed_precision=\"fp16\" \\\n", " --use_8bit_adam \\\n", " --max_train_steps=500 \\\n", " --checkpointing_steps=717 \\\n", " --seed=\"0\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "7uyy9n54EtBY" }, "outputs": [], "source": [ "from huggingface_hub import whoami\n", "from pathlib import Path\n", "\n", "output_dir = \"corgy_dog_LoRA\" \n", "username = whoami(token=Path(\"/root/.cache/huggingface/\"))[\"name\"]\n", "repo_id = f\"{username}/{output_dir}\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 449, "referenced_widgets": [ "ffbd60ac22ea41478175f89f611e4fd7", "19bc0912cf6541da861f5f4b804d68e5", "a1901fae89614db7bd6ca849d7d3e359", "b7f5df22dfd34814b15e0bb2ff29cef2", "d8a363d77a3b48aa9ea2d52ce83aac88", "1a669bec45fd4cb9af63e8119cbc858c", "479ee1a3a2f643798e1de1ff5e16a305", "18088571d7014c95afde6b7a46275c14", "69166eb0c2fb41e7943b586c30db46df", "4b612a0885154e6396f9ffc781639e00", "141c87e818c84099b4434a9ad30b7cb8", "6fddb9649fa9428f8d9d254f6172a82a", "af213843aac34ac29891fd1f04b95797", "8ead471506474b69b8b8612c14b24851", "d29a0855ba4e4489a5470b433f81ba4d", "e9022e3fb8c147abba6ff912b9075365", "440ebf932b7e450988c6320cac8997b7", "cfa332f30cbc415ca1d14d9a30ec1c46", "3a77977b5d0f4947b7943a1706176a2e", "532e4fd43b354d5698c20012b3744d5c", "b20f602431ec4172b3214aad66dc7d2d", "ffd12bbe1d2f4237a1648665c1240eab", 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