From 06a3e48237943650692c974d56445398847cdf27 Mon Sep 17 00:00:00 2001 From: Victor Hall Date: Tue, 8 Nov 2022 23:00:54 -0500 Subject: [PATCH] runpod maybe working ish --- Train-Runpod.ipynb | 326 ++++++++++++++++++ .../v1-finetune_everydream.yaml | 2 +- .../stable-diffusion/v1-finetune_runpod.yaml | 2 +- .../stable-diffusion/v1-finetune_test.yaml | 8 +- demo/runpodconnect.png | Bin 0 -> 53143 bytes demo/runpodinstances.png | Bin 0 -> 35345 bytes demo/runpodopenurl.png | Bin 0 -> 14103 bytes demo/runpodsetup.png | Bin 0 -> 46195 bytes demo/runpodstop.png | Bin 0 -> 57463 bytes demo/runpodupload.png | Bin 0 -> 50991 bytes doc/RUNPOD.MD | 50 +++ input/.gitkeep | 0 ldm/data/image_train_item.py | 41 ++- 13 files changed, 421 insertions(+), 8 deletions(-) create mode 100644 Train-Runpod.ipynb create mode 100644 demo/runpodconnect.png create mode 100644 demo/runpodinstances.png create mode 100644 demo/runpodopenurl.png create mode 100644 demo/runpodsetup.png create mode 100644 demo/runpodstop.png create mode 100644 demo/runpodupload.png create mode 100644 doc/RUNPOD.MD create mode 100644 input/.gitkeep diff --git a/Train-Runpod.ipynb b/Train-Runpod.ipynb new file mode 100644 index 0000000..52ff3c0 --- /dev/null +++ b/Train-Runpod.ipynb @@ -0,0 +1,326 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "676114ae", + "metadata": {}, + "source": [ + "## Every Dream trainer\n", + "\n", + "You will need your data prepared first before starting! Don't waste rental fees if you're not ready to upload your files. Your files should be captioned before you start with either the caption as the filename or in text files for each image alongside the image files. See main README.md for more details. Tools are available to automatically caption your files.\n", + "\n", + "[Instructions](https://github.com/victorchall/EveryDream-trainer/blob/main/README.md)\n", + "\n", + "If you can sign up for Runpod here (shameless referral link): [Runpod](https://runpod.io?ref=oko38cd0)\n", + "\n", + "If you are confused by the wall of text, join the discord here: [EveryDream Discord](https://discord.gg/uheqxU6sXN)\n", + "\n", + "Make sure you have at least 40GB of Runpod **Volume** storage at a minimum so you don't waste training just 1 ckpt that is overtrained and have to start over. Penny pinching on storage is ultimately a waste of your time and money! This is setup to give you more than one ckpt so you don't overtrain.\n", + "\n", + "### Starting model\n", + "Make sure you have your hugging face token ready to download the 1.5 mode. You can get one here: https://huggingface.co/settings/tokens\n", + "If you don't have a User Access Token, create one. Or you can upload a starting checkpoint instead of using the HF download and skip that step, but you'll need to modify the starting model name when you start training (more info below)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb6d14b7-3c37-4ec4-8559-16b4e9b8dd18", + "metadata": {}, + "outputs": [], + "source": [ + "!git clone https://github.com/victorchall/everydream-trainer\n", + "%cd everydream-trainer" + ] + }, + { + "cell_type": "markdown", + "id": "589bfca0", + "metadata": {}, + "source": [ + "## Install dependencies\n", + "You can ignore \"warnings.\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab559338", + "metadata": {}, + "outputs": [], + "source": [ + "# BUILD ENV\n", + "!pip install -q omegaconf\n", + "!pip install -q einops\n", + "!pip install -q pytorch-lightning==1.6.5\n", + "!pip install -q test-tube\n", + "!pip install -q transformers==4.19.2\n", + "!pip install -q kornia\n", + "!pip install -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers\n", + "!pip install -e git+https://github.com/openai/CLIP.git@main#egg=clip\n", + "!pip install -q setuptools==59.5.0\n", + "!pip install -q pillow==9.0.1\n", + "!pip install -q torchmetrics==0.6.0\n", + "!pip install -e .\n", + "#!pip install -qq diffusers[\"training\"]==0.3.0 transformers ftfy\n", + "!pip install -qq ipywidgets==8.0.2\n", + "!pip install huggingface_hub\n", + "#!pip install ipywidgets==7.7.1\n", + "import ipywidgets as widgets" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55716da3-7229-45e0-b8c1-2b25466fd126", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install omegaconf\n", + "!pip install albumentations==1.1.0\n", + "!pip install transformers==4.19.2\n", + "!pip install torchvision==0.13.1\n", + "!pip install pudb==2019.2\n", + "!pip install imageio==2.14.1\n", + "!pip install imageio-ffmpeg==0.4.7\n", + "!pip install test-tube>=0.7.5\n", + "!pip install einops==0.4.1\n", + "!pip install pillow==9.0.1\n", + "!pip install torch-fidelity==0.3.0\n", + "!pip install torchmetrics==0.6.0\n", + "!pip install kornia==0.6\n", + "!pip install huggingface_hub\n", + "!pip install -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers\n", + "!pip install -e git+https://github.com/openai/CLIP.git@main#egg=clip\n", + "!pip install -e ." + ] + }, + { + "cell_type": "markdown", + "id": "c230d91a", + "metadata": {}, + "source": [ + "## Now that dependencies are installed, ready to move on!" + ] + }, + { + "cell_type": "markdown", + "id": "17affc47", + "metadata": {}, + "source": [ + "## Log into huggingface\n", + "Run the cell below and paste your token into the prompt. You can get your token from your huggingface account page.\n", + "\n", + "The token will not show on the screen, just press enter after you paste it.\n", + "\n", + "Then run the following cell to download the base checkpoint (may take a minute)." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "02c8583e", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "39a1acc3a2914d9797fc2f8ff11a9a69", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HTML(value='
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zHOf{}G>2;R|6EqS+#h)Z6U;P;Oc6PBhc+GxQJ{F*>8Fx;5=UUB>fw|h%gPZogwSM9 zN&N=lbw!oSr4q9youMr=>G)cezU@76gDK|~=c~P!({5o=Z-9sT9dHN#ZIlv9zXkjP z7C&T%To#ftcnpuigTTTTna)ymai8CU5{OdfXL{M;5vDU}Tz@H?)+Pw`fq0n~UpYEq zMeIp_tsVoRqOvCC(C{E!u&U85@85qvx2FAKhD zJBMg}8Lmi?(6t9ng6;$EcE$VFnLzzQo$InvQxnL~&Wt6?14;8c+0|JQuJHY@CK*-r zsIZIH*+;?2Zh1yGz)w_e#S-$Jhn=fCN;bG(Sg8aFwlc=lUN7=EiP;{@rPU!kiOhQ% zHv+4NMJZUFKM7!MKGO2ypcNQZd=~`N=ZwAKOQJwTy): + rand_x = x-y + rand_y = 0 + sigma = max(rand_x*q,1) + else: + rand_x = 0 + rand_y = y-x + sigma = max(rand_y*q,1) + + if (x>y): + x_crop_gauss = abs(random.gauss(0, sigma)) + x_crop = min(x_crop_gauss,(x-y)/2) + x_crop = math.trunc(x_crop) + y_crop = 0 + else: + y_crop_gauss = abs(random.gauss(0, sigma)) + x_crop = 0 + y_crop = min(y_crop_gauss,(y-x)/2) + y_crop = math.trunc(y_crop) + + min_xy = min(x, y) + image = image.crop((x_crop, y_crop, x_crop + min_xy, y_crop + min_xy)) + #print(f"crop: {x_crop} {y_crop}, {x} {y} => {image.size}") + + return image \ No newline at end of file