{ "cells": [ { "cell_type": "markdown", "id": "1b40e08f-8442-43ec-b50e-c755b3550f54", "metadata": { "id": "1b40e08f-8442-43ec-b50e-c755b3550f54", "tags": [] }, "source": [ "## Training Bria FM with LoRA 🎃\n", "\n", "In this notebook, we show how to fine-tune [Bria foundation models](https://huggingface.co/briaai) using [LoRA](https://huggingface.co/docs/diffusers/main/en/training/lora)\n", "\n", "Learn more about the techniques used in this exmaple [here](https://huggingface.co/spaces/Bar-Fin/lora-finetuning-guide)\n", "\n", "Let's get started..." ] }, { "cell_type": "markdown", "id": "43111af5-c952-47e9-b9c4-fd6bf6a3e137", "metadata": { "id": "43111af5-c952-47e9-b9c4-fd6bf6a3e137", "tags": [] }, "source": [ "## Setup 🪓" ] }, { "cell_type": "code", "execution_count": null, "id": "3c1b6b6a-3d7a-4ff3-a7aa-6340fb09fbca", "metadata": { "id": "3c1b6b6a-3d7a-4ff3-a7aa-6340fb09fbca", "outputId": "bc85d52f-7294-4404-a83f-d9a4af717dc8" }, "outputs": [], "source": [ "# Install dependencies.\n", "%pip install tiktoken xformers bitsandbytes transformers accelerate wandb dadaptation prodigyopt -q\n", "%pip install python-slugify peft -q\n", "\n", "# Make sure to install `diffusers` from `main`.\n", "%pip install git+https://github.com/huggingface/diffusers.git -q\n", "\n", "%pip install git+https://github.com/huggingface/datasets.git -q" ] }, { "cell_type": "markdown", "id": "b362a150", "metadata": {}, "source": [ "Download the traning code" ] }, { "cell_type": "code", "execution_count": null, "id": "e4838d36", "metadata": {}, "outputs": [], "source": [ "ZIP_NAME=\"04617f93ddbea80e2681f1422dcd7cf01335d500.zip\"\n", "EXTRACT_DIR=\"./\"\n", "\n", "!wget https://gist.github.com/bar-fingerman-dev/c9860c5ff8b155ae132243d12c3ca416/archive/\"$ZIP_NAME\"\n", "\n", "# Extract the contents of the zip file\n", "!unzip \"$ZIP_NAME\" -d \"$EXTRACT_DIR\"\n", "\n", "# Move extracted contents to the current directory\n", "!mv \"$EXTRACT_DIR\"/*/* ./\n", "\n", "# Cleanup\n", "!rm -r \"$EXTRACT_DIR\"\n", "!rm \"$ZIP_NAME\"" ] }, { "cell_type": "markdown", "id": "0b38876e-940e-401a-a542-05b3262d10eb", "metadata": { "id": "0b38876e-940e-401a-a542-05b3262d10eb", "tags": [] }, "source": [ "## Dataset 📁" ] }, { "cell_type": "markdown", "id": "a1e31e52-5383-4c77-abcf-e9744302cbf9", "metadata": { "id": "a1e31e52-5383-4c77-abcf-e9744302cbf9" }, "source": [ "**Let's get our training data!**\n", "For this example, we'll download some images from the hub.\n", "\n", "If you already have a dataset on the hub you wish to use, you can skip this part and go straight to: \"Prep for\n", "training 💻\" section, where you'll simply specify the dataset name.\n", "\n", "If your images are saved locally, and/or you want to add BLIP generated captions,\n", "pick option 1 or 2 below." ] }, { "cell_type": "code", "execution_count": 13, "id": "2f52ed6e-e2d2-4f2d-a2f9-4b6764597c4b", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 227, "referenced_widgets": [ 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"f6549c46d2ff4092b3fc118692e46192", "5582978320bb4fd99f183a8aba5b8a92", "aca2097e3b6e4423ba988a346df2aaa0", "6e9a69addfc546b5a44ff788c7f338a7", "743683a87c0c458bb3f102ea6360c41d", "53d4c9cfaa1b4d14af3e87c2b1d32c86", "eb239061297046d1b90f2cef1a6a8c0b", "45262888159a49a2ac742f3aff1ea7b4", "96667878120345689fba6699754502cb", "d24e837755464ef1985f7651a8a6beec", "9aab71180e7945aaa495b24030f79887", "df0d0f760b554755b9fdc9fb8b79e409", "091bc4da1a2c4ef1bbc1b2c94fafcb1e", "8946c6414f5640de9809f8c7ec30c2ae", "ffc57fb137c849ea9d7edcaee9147a77", "83cd936fdce340729acc336cd8ceb496", "92cb855c250740c4951531bc6668b52b", "bac3a0570aa8408298920b027fc43f0a", "10f99bb4b70c4910be225cbd99a7f04a", "19987326cce5428bbc295c993e7770dc", "992ea999ffb342b9ace2d0469977645d", "63691269589d4a0aaf0c7374f2522fa9", "2bb0e2151fe948579c01faa7cdc24e22", "af41fe4a68d74172803daa14ac8528a8", "1c670206a7f546ef8cc0ed9bbb0c8c04", "94d5cbc7699341a78947ac9981167544", "91b2d632a8cb44e0b062cc4307a4e2c3", 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", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from datasets import load_dataset\n", "from diffusers.utils import make_image_grid\n", "\n", "# Load the dataset\n", "data_set_name = \"Bar-Fin/pokemons\"\n", "\n", "dataset = load_dataset(data_set_name)\n", "\n", "sample_number = 8\n", "images = dataset['train'][0:sample_number][\"image\"]\n", "\n", "grid = make_image_grid(images, rows=1, cols=sample_number, resize=128)\n", "grid.show()" ] }, { "cell_type": "markdown", "id": "0c321597-e4e2-43ee-a817-ccd20ac11365", "metadata": { "id": "0c321597-e4e2-43ee-a817-ccd20ac11365" }, "source": [ "### Generate custom captions with LLAVA 🌋" ] }, { "cell_type": "markdown", "id": "46c4baf0-bdc1-4b9f-85c2-70ec67158a1a", "metadata": { "id": "46c4baf0-bdc1-4b9f-85c2-70ec67158a1a" }, "source": [ "Auto-generating captions for LoRA fine-tuning provides essential supervision by aligning visual and textual features, enriching datasets with descriptive context, improving generalization to unseen data, optimizing task-specific learning, preparing for multimodal applications, and ensuring consistency and scalability across large datasets.\n", "\n", "**Note:** In order to trigger the model to generate the style he learned we can use a generl template of `prefix` / `suffix`, this is a prompt engeneering way of telling the model to always applay our learned style and shpould be used in traning and inferance.\n", "`tok` is a reserved work the model is not familiar with, we use that as an trigger word for the model to generate our style.\n", "\n", "Feel free to play arround with the template of suffix and prefix as for may usecases there can be more optimal way to describe the outpute e.g:\n", "- For single charecter: A {tok} doing ... in retro style\n", "- For clear style: {tok} Baroque painting of ..." ] }, { "cell_type": "code", "execution_count": 14, "id": "623440de", "metadata": {}, "outputs": [], "source": [ "tok = \"br!@\"\n", "prefix = f\"A {tok} image of\"\n", "suffix = f\"in the style of 5fc3b10f\"" ] }, { "cell_type": "code", "execution_count": null, "id": "c1dd96ce-328a-43e1-a707-64fef13b4512", "metadata": { "colab": { "referenced_widgets": [ "a681e100ce9d4cbab79feca16b881b85" ] }, "id": "c1dd96ce-328a-43e1-a707-64fef13b4512", "outputId": "ac3ffb05-bb0e-476f-cdd9-54f817d96bb0", "tags": [] }, "outputs": [], "source": [ "from transformers import pipeline, AutoProcessor\n", "from PIL import Image \n", "import torch\n", "import pandas as pd\n", "from IPython.display import display, HTML\n", "from tqdm import tqdm\n", "\n", "\n", "model_id = \"llava-hf/llava-1.5-7b-hf\"\n", "pipe = pipeline(\n", " task=\"image-to-text\", \n", " model=model_id,\n", " device=\"cuda\",\n", " torch_dtype=torch.float16\n", ")\n", "\n", "processor = AutoProcessor.from_pretrained(model_id)\n", "prompt_instructions = \"Elaborate on the image, in your description include details regarding the objects, characters, background, and fine-grained details. Dont start with the image and keep it 10-30 words only.\"\n", "\n", "# Function to generate captions for a single image\n", "def generate_caption(image):\n", " conversation = [\n", " {\n", " \"role\": \"user\",\n", " \"content\": [\n", " {\n", " \"type\": \"text\",\n", " \"text\": prompt_instructions\n", " },\n", " {\"type\": \"image\"},\n", " ],\n", " },\n", " ]\n", " prompt = processor.apply_chat_template(conversation, add_generation_prompt=True)\n", " outputs = pipe(image, prompt=prompt, generate_kwargs={\"max_new_tokens\": 200})\n", " answer = outputs[0][\"generated_text\"].split(\"ASSISTANT:\")[1].strip()\n", " return answer\n", "\n", "# Loop over the dataset to generate and save modified captions\n", "def modify_dataset_with_generated_captions(dataset, sample_size=None):\n", " new_data = []\n", " for i, item in tqdm(enumerate(dataset)):\n", " if sample_size and i >= sample_size:\n", " break\n", " image = item[\"image\"]\n", " new_caption = generate_caption(image)\n", " \n", "\n", " new_caption_formated = f\"{prefix} {new_caption} {suffix}\"\n", "\n", " # Store the modified data\n", " modified_item = {\n", " **item, # Keep original data\n", " \"generated_caption\": new_caption_formated # Add new caption\n", " }\n", " new_data.append(modified_item)\n", " # print(f\"Processed image {i+1}/{len(dataset)}: {new_caption}\") # Progress indicator\n", " return new_data\n", "\n", "\n", "# Modify the dataset (use a smaller sample size for testing)\n", "modified_data = modify_dataset_with_generated_captions(dataset[\"train\"])\n", "\n", "# Clean\n", "del processor, pipe\n" ] }, { "cell_type": "markdown", "id": "614aea79", "metadata": {}, "source": [ "### Create and visualize you dataset" ] }, { "cell_type": "code", "execution_count": null, "id": "e9e2f15d", "metadata": {}, "outputs": [], "source": [ "from datasets import Dataset, Features, Image as HFImage, Value, DatasetDict, Split\n", "\n", "data_set_path = \"/tmp/image_caption_dataset\" # @param\n", "\n", "# Visualize dataset in a table\n", "def create_table_with_images(data):\n", " rows = []\n", " for i, item in enumerate(data):\n", " # Extract image and captions\n", " image = item[\"image\"]\n", " caption_text = item.get(\"text\", \"N/A\")\n", " generated_caption = item.get(\"generated_caption\", \"N/A\")\n", " \n", " # Save image temporarily for embedding\n", " image_path = f\"ds_image_{i}.png\"\n", " image.save(image_path)\n", " \n", " # Add row with HTML for the image\n", " rows.append(\n", " {\n", " \"Image\": f'',\n", " \"text\": caption_text,\n", " \"generated_caption\": generated_caption,\n", " }\n", " )\n", " \n", " # Create DataFrame\n", " df = pd.DataFrame(rows)\n", " # Display DataFrame as HTML\n", " display(HTML(df.to_html(escape=False, index=False)))\n", "\n", "\n", "# Define features for the dataset\n", "features = Features({\"image\": HFImage(), \"generated_caption\": Value(\"string\")})\n", "\n", "# Create individual datasets for train and test\n", "dataset = Dataset.from_list(modified_data, features=features)\n", "\n", "# Save the dataset locally\n", "dataset.save_to_disk(data_set_path)\n", "\n", "# Limit the dataset to rows 0:3 (first 3 rows in this case)\n", "limited_dataset = dataset.select(range(0, 5))\n", "\n", "# Create and display the table\n", "create_table_with_images(limited_dataset)" ] }, { "cell_type": "markdown", "id": "5d5c2445-3ba1-4daf-9e35-84cf5b69af45", "metadata": { "id": "5d5c2445-3ba1-4daf-9e35-84cf5b69af45", "tags": [] }, "source": [ "## Prep for training 🔥" ] }, { "cell_type": "markdown", "id": "ae89b699-2fed-4a08-ac15-f57d4451e44b", "metadata": { "id": "ae89b699-2fed-4a08-ac15-f57d4451e44b" }, "source": [ "Initialize `accelerate`:" ] }, { "cell_type": "code", "execution_count": null, "id": "15c833e9-14d6-4e1d-8a79-24e5ef667290", "metadata": { "id": "15c833e9-14d6-4e1d-8a79-24e5ef667290", "outputId": "ad92425f-9539-46f3-ddec-4b4a7e68c42b" }, "outputs": [], "source": [ "!accelerate config default" ] }, { "cell_type": "markdown", "id": "46d4e562-22e1-4387-b7d7-c12018d9a5b4", "metadata": { "id": "46d4e562-22e1-4387-b7d7-c12018d9a5b4" }, "source": [ "### Log into your Hugging Face account\n", "Pass [your **read** access token](https://huggingface.co/settings/tokens) it will be used to pull the model from hub:" ] }, { "cell_type": "code", "execution_count": null, "id": "dac88815-fa14-4ef5-aa3f-0cfe1f66b79f", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "referenced_widgets": [ "4b2aed906e0342d68090c171630e83ba" ] }, "id": "dac88815-fa14-4ef5-aa3f-0cfe1f66b79f", "outputId": "b9440fd0-b0a1-4ce3-ba0d-9270484f72ba", "tags": [] }, "outputs": [], "source": [ "from huggingface_hub import login\n", "login(token=\"...\") " ] }, { "cell_type": "markdown", "id": "7eb1c65e-b2a9-42d9-92fd-3ebf92690d42", "metadata": { "id": "7eb1c65e-b2a9-42d9-92fd-3ebf92690d42" }, "source": [ "## Train! 🧪" ] }, { "cell_type": "markdown", "id": "6dbd7ec5-d4e2-470f-97f2-011a30d04e63", "metadata": { "id": "6dbd7ec5-d4e2-470f-97f2-011a30d04e63" }, "source": [ "**Adjust your LoRA rank**\n", "\n", "The rank determines how expressive your LoRA will be. Higher ranks bring it closer to standard DreamBooth, offering more expressive capabilities but also increasing the model’s size.\n", "\n", "A recommend rank is between 8 and 64 based on your concept and your priority to balance expressiveness with a smaller LoRA size." ] }, { "cell_type": "code", "execution_count": 19, "id": "a13c4644-7b6e-4500-8db0-6331e09366ef", "metadata": { "id": "a13c4644-7b6e-4500-8db0-6331e09366ef", "tags": [] }, "outputs": [], "source": [ "rank = 16 # @param\n", "model_output_dir=\"/mnt/re-2024-model-demo-v3\" # @param" ] }, { "cell_type": "markdown", "id": "78325966", "metadata": {}, "source": [ "Free some memory if needed" ] }, { "cell_type": "code", "execution_count": 25, "id": "c00c8646", "metadata": {}, "outputs": [], "source": [ "import gc\n", "import torch\n", "\n", "gc.collect()\n", "torch.cuda.empty_cache()" ] }, { "cell_type": "markdown", "id": "d12e4b33", "metadata": {}, "source": [ "**To start experiment from last saved checkpoint** add `--resume_from_checkpoint=\"latest` \n" ] }, { "cell_type": "code", "execution_count": null, "id": "1347b60c", "metadata": {}, "outputs": [], "source": [ "# --resume_from_checkpoint=\"latest\" \\ \n", "\n", "!accelerate launch \\\n", " bria_lora_train.py \\\n", " --caption_column=\"generated_caption\" \\\n", " --pretrained_model_name_or_path=\"briaai/BRIA-2.3\" \\\n", " --dataset_name=\"$data_set_path\" \\\n", " --resolution=1024 \\\n", " --center_crop \\\n", " --train_batch_size=1 \\\n", " --gradient_accumulation_steps=4 \\\n", " --gradient_checkpointing \\\n", " --max_train_steps=1000 \\\n", " --checkpointing_steps=200 \\\n", " --use_8bit_adam \\\n", " --learning_rate=1e-04 \\\n", " --lr_scheduler=\"constant\" \\\n", " --lr_warmup_steps=0 \\\n", " --mixed_precision=\"bf16\" \\\n", " --validation_epochs=5 \\\n", " --output_dir=\"$model_output_dir\" \\\n", " --resume_from_checkpoint=\"latest\" \\\n", " --rank=\"$rank\"\n" ] }, { "cell_type": "markdown", "id": "34fdd785-ad51-4792-ac0a-6b0aefffc0c1", "metadata": { "id": "34fdd785-ad51-4792-ac0a-6b0aefffc0c1" }, "source": [ "## Evaluation 👀" ] }, { "cell_type": "code", "execution_count": null, "id": "844c968c-7f9d-4b83-8544-343979c982d0", "metadata": { "colab": { "referenced_widgets": [ "25dafb1a8a9c47bdbba334251c67a2aa", "5174a422be0347e0a545f312ebc560c3" ] }, "id": "844c968c-7f9d-4b83-8544-343979c982d0", "outputId": "c0e354cd-ebe1-4679-a042-aae1990c1deb", "tags": [] }, "outputs": [], "source": [ "import torch\n", "from huggingface_hub import hf_hub_download, upload_file\n", "from diffusers import DiffusionPipeline\n", "from diffusers.models import AutoencoderKL\n", "from safetensors.torch import load_file\n", "\n", "pipe = DiffusionPipeline.from_pretrained(\"briaai/BRIA-2.3\", torch_dtype=torch.float16, use_safetensors=True).to(\"cuda\")\n", "pipe.force_zeros_for_empty_prompt = False" ] }, { "cell_type": "markdown", "id": "772d29fc-1e9d-4daf-8621-7dc5e1aad500", "metadata": { "id": "772d29fc-1e9d-4daf-8621-7dc5e1aad500" }, "source": [ "#### Benchmarking prompts" ] }, { "cell_type": "code", "execution_count": 63, "id": "8c6adf2f-3a7b-46a0-b52a-33409a2e6ce6", "metadata": { "colab": { "referenced_widgets": [ "c7ac69bd381641dcb2a2d8386c0c09a8" ] }, "id": "8c6adf2f-3a7b-46a0-b52a-33409a2e6ce6", "outputId": "8db1ec91-a3f5-4931-90f1-c229294dc74d", "pycharm": { "name": "#%%\n" }, "tags": [] }, "outputs": [], "source": [ "from diffusers.utils import make_image_grid\n", "\n", "# Set a fixed seed for reproducibility\n", "seed = 42\n", "generator = torch.manual_seed(seed)\n", "\n", "def generate_images(prompts):\n", " gen_images = []\n", " for prompt in prompts:\n", " image = pipe(prompt=f\"{prefix} {prompt} {suffix}\", num_inference_steps=25, generator=generator).images[0]\n", " gen_images.append(image)\n", " return gen_images\n", "\n", "prompts = [\n", " f\"a phoenix, flyting over a mointain\", \n", " f\"a red dragon, white BG\",\n", " f\"a bird with blue wings, white BG\",\n", " f\"a dinosaur\",\n", "]" ] }, { "cell_type": "markdown", "id": "a866899b", "metadata": {}, "source": [ "### Generate images widout LORA to evaluate how the base model hundle the task" ] }, { "cell_type": "code", "execution_count": 65, "id": "44306fdc", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "dea62b7643e946b1b392c68aa293a635", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/25 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "5dc2f666f411455da6a79e9d963e6bad", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/25 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "gen_images = generate_images(prompts)\n", "grid = make_image_grid(gen_images, rows=1, cols=len(gen_images), resize=512)\n", "grid.show()\n" ] }, { "cell_type": "markdown", "id": "bf0f9605", "metadata": {}, "source": [ "List all checkpoints available" ] }, { "cell_type": "code", "execution_count": 41, "id": "a953acb4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "checkpoint-1000 checkpoint-600 pytorch_lora_weights.safetensors\n", "checkpoint-200\t checkpoint-800\n", "checkpoint-400\t logs\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", "To disable this warning, you can either:\n", "\t- Avoid using `tokenizers` before the fork if possible\n", "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n" ] } ], "source": [ "!ls $model_output_dir" ] }, { "cell_type": "markdown", "id": "4c79f48c", "metadata": {}, "source": [ "Now lets add our lora to the model `pipe.load_lora_weights`" ] }, { "cell_type": "code", "execution_count": 66, "id": "b9bb6d8c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Selected checkpoint: checkpoint-1000\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ad74aa024c724dcf80d5c3d853fcd721", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/25 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "74a844c1634d409ea16104b9a66b5bc3", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/25 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a41062cd559f48b28b712142a79f832e", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/25 [00:00" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ecabfa78db45462eae042bcacb084696", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/25 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import os\n", "\n", "# Listing the directory contents and filtering for checkpoints\n", "checkpoints = [\n", " item for item in os.listdir(model_output_dir)\n", " if item.startswith(\"checkpoint-\") and item[len(\"checkpoint-\"):].isdigit()\n", "]\n", "\n", "# Finding the checkpoint with the highest number\n", "highest_checkpoint = max(checkpoints, key=lambda x: int(x.split(\"-\")[1])) if checkpoints else None\n", "\n", "print(f\"Selected checkpoint: {highest_checkpoint}\")\n", "\n", "pipe.load_lora_weights(f\"{model_output_dir}/{highest_checkpoint}\", weight_name=\"pytorch_lora_weights.safetensors\")\n", "images_gens = []\n", "num_of_rows = 4\n", "for _ in range(0, num_of_rows):\n", " gen_images = generate_images(prompts)\n", " grid = make_image_grid(gen_images, rows=1, cols=len(gen_images), resize=512)\n", " grid.show()" ] }, { "cell_type": "code", "execution_count": 34, "id": "c8159d7c", "metadata": {}, "outputs": [], "source": [ "del pipe" ] } ], "metadata": { "colab": { "provenance": [], "toc_visible": true }, "kernelspec": { "display_name": "pytorch", "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": "3.10.11" } }, "nbformat": 4, "nbformat_minor": 5 }