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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "HHxHa_96z0gM"
},
"source": [
"# Stable Diffusion 3 medium fine-tuned for leaf-inspired generation\n",
"\n",
"Markus J. Buehler, MIT\n",
"[email protected]\n",
"\n",
"https://huggingface.co/lamm-mit/stable-diffusion-3-medium-leaf-inspired/"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 531
},
"id": "vQzwg68ByEiC",
"outputId": "895980fe-52df-49f5-fd02-bf0b2846f12f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"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",
"Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.23.5)\n",
"Collecting huggingface_hub\n",
" Downloading huggingface_hub-0.24.0-py3-none-any.whl (419 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m419.0/419.0 kB\u001b[0m \u001b[31m6.9 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 huggingface_hub) (3.15.4)\n",
"Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\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",
"Installing collected packages: huggingface_hub\n",
" Attempting uninstall: huggingface_hub\n",
" Found existing installation: huggingface-hub 0.23.5\n",
" Uninstalling huggingface-hub-0.23.5:\n",
" Successfully uninstalled huggingface-hub-0.23.5\n",
"Successfully installed huggingface_hub-0.24.0\n"
]
},
{
"output_type": "display_data",
"data": {
"application/vnd.colab-display-data+json": {
"pip_warning": {
"packages": [
"huggingface_hub"
]
},
"id": "991053a6adb54643aed1b64c87e5d2b8"
}
},
"metadata": {}
}
],
"source": [
"!pip install -q git+https://github.com/huggingface/diffusers.git\n",
"!pip install --upgrade huggingface_hub"
]
},
{
"cell_type": "markdown",
"source": [
"#### The Stable Diffusion 3 medium model is gated. Get access at:\n",
"\n",
"https://huggingface.co/stabilityai/stable-diffusion-3-medium\n",
"\n",
"Make sure you add your Hugging Face token and sign in."
],
"metadata": {
"id": "HaYOIlR25nb2"
}
},
{
"cell_type": "code",
"source": [
"hf_token = \"hf_----\"\n",
"from huggingface_hub import login\n",
"login(token=hf_token_write)"
],
"metadata": {
"id": "hlVgYHNH5hgw"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "GSfz5tNZyC7V"
},
"outputs": [],
"source": [
"from diffusers import DiffusionPipeline\n",
"import torch\n",
"import os\n",
"from datetime import datetime\n",
"from PIL import Image\n",
"\n",
"def generate_filename(base_name, extension=\".png\"):\n",
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
" return f\"{base_name}_{timestamp}{extension}\"\n",
"\n",
"def save_image(image, directory, base_name=\"image_grid\"):\n",
"\n",
" filename = generate_filename(base_name)\n",
" file_path = os.path.join(directory, filename)\n",
" image.save(file_path)\n",
" print(f\"Image saved as {file_path}\")\n",
"\n",
"def image_grid(imgs, rows, cols, save=True, save_dir='generated_images', base_name=\"image_grid\",\n",
" save_individual_files=False):\n",
"\n",
" if not os.path.exists(save_dir):\n",
" os.makedirs(save_dir)\n",
"\n",
" assert len(imgs) == rows * cols\n",
"\n",
" w, h = imgs[0].size\n",
" grid = Image.new('RGB', size=(cols * w, rows * h))\n",
" grid_w, grid_h = grid.size\n",
"\n",
" for i, img in enumerate(imgs):\n",
" grid.paste(img, box=(i % cols * w, i // cols * h))\n",
" if save_individual_files:\n",
" save_image(img, save_dir, base_name=base_name+f'_{i}-of-{len(imgs)}_')\n",
"\n",
" if save and save_dir:\n",
" save_image(grid, save_dir, base_name)\n",
"\n",
" return grid"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "xaeDDt0IyYvh"
},
"outputs": [],
"source": [
"repo_id_load='lamm-mit/stable-diffusion-3-medium-leaf-inspired'\n",
"\n",
"pipeline = DiffusionPipeline.from_pretrained (\"stabilityai/stable-diffusion-3-medium-diffusers\",\n",
" torch_dtype=torch.float16\n",
" )\n",
"\n",
"pipeline.load_lora_weights(repo_id_load)\n",
"pipeline=pipeline.to('cuda')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "vqdIKEdy0BrU"
},
"outputs": [],
"source": [
"prompt = \"a cube in the shape of a <leaf microstructure>\"\n",
"negative_prompt = \"\"\n",
"\n",
"num_samples = 2\n",
"num_rows = 2\n",
"n_steps=75\n",
"guidance_scale=15\n",
"all_images = []\n",
"\n",
"for _ in range(num_rows):\n",
" image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples,\n",
" guidance_scale=guidance_scale,negative_prompt=negative_prompt).images\n",
"\n",
" all_images.extend(image)\n",
"\n",
"grid = image_grid(all_images, num_rows, num_samples,\n",
" save_individual_files=True,\n",
" save_dir='generated_images',\n",
" base_name=\"image_grid\",\n",
" )\n",
"grid"
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "2yGuDJTH2zvx"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "A100",
"machine_shape": "hm",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
} |