Don't need to build xformers anymore

Train_Runpod.ipynb

@@ -30,22 +30,13 @@
    ]
   },
   {
-   "cell_type": "code",
+   "cell_type": "markdown",
-   "execution_count": null,
+   "id": "5123d4e6-281c-4475-99fd-328f4d5df734",
-   "id": "0902e735",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# When running on a pod designed for Automatic 1111 \n",
+    "# For best results, restart the pod after the next cell completes\n",
-    "# we need to kill the webui process to free up mem for training\n",
-    "!ps x | grep -E \"(relauncher|webui)\" | grep -v \"grep\" | awk '{print $1}' | xargs kill $1\n",
     "\n",
-    "# check system resources, make sure your GPU actually has 24GB\n",
+    "Here we ensure that EveryDream2trainer is installed, and we disable the Automatic 1111 web-ui. But the vram consumed by the web-ui will not be fully freed until the pod restarts. This is especially important if you are training with large batch sizes."
-    "# You should see something like \"0 MB / 24576 MB\" in the middle of the printout\n",
-    "# if you see 0 MB / 22000 MB pick a beefier instance...\n",
-    "!grep Swap /proc/meminfo\n",
-    "!swapon -s\n",
-    "!nvidia-smi"
    ]
   },
   {
@@ -58,13 +49,34 @@
     "import os\n",
     "\n",
     "%cd /workspace\n",
+    "!echo pass > /workspace/stable-diffusion-webui/relauncher.py\n",
     "if not os.path.exists(\"EveryDream2trainer\"):\n",
     "    !git clone https://github.com/victorchall/EveryDream2trainer\n",
     "\n",
     "%cd EveryDream2trainer\n",
+    "%mkdir input\n",
     "!python utils/get_yamls.py"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0902e735",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# When running on a pod designed for Automatic 1111 \n",
+    "# we need to kill the webui process to free up mem for training\n",
+    "!ps x | grep -E \"(relauncher|webui)\" | awk '{print $1}' | xargs kill $1\n",
+    "\n",
+    "# check system resources, make sure your GPU actually has 24GB\n",
+    "# You should see something like \"0 MB / 24576 MB\" in the middle of the printout\n",
+    "# if you see 0 MB / 22000 MB pick a beefier instance...\n",
+    "!grep Swap /proc/meminfo\n",
+    "!swapon -s\n",
+    "!nvidia-smi"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "0bf1e8cd",
@@ -102,9 +114,9 @@
     "!python -m pip install --upgrade pip\n",
     "\n",
     "!pip install requests==2.25.1\n",
-    "!pip install -U -I torch==1.13.1+cu116 torchvision==0.14.1+cu116 --extra-index-url \"https://download.pytorch.org/whl/cu116\"\n",
+    "!pip install -U -I torch==1.13.1+cu117 torchvision==0.14.1+cu117 --extra-index-url \"https://download.pytorch.org/whl/cu117\"\n",
     "!pip install transformers==4.25.1\n",
-    "!pip install -U diffusers[torch]==0.10.2\n",
+    "!pip install -U diffusers[torch]\n",
     "\n",
     "!pip install pynvml==11.4.1\n",
     "!pip install bitsandbytes==0.35.0\n",
@@ -115,20 +127,8 @@
     "!pip install wandb==0.13.6\n",
     "!pip install colorama==0.4.6\n",
     "!pip install -U triton\n",
-    "!pip install -U ninja\n",
+    "!pip install --pre -U xformers\n",
-    "\n",
+    "    \n",
-    "from subprocess import getoutput\n",
-    "s = getoutput('nvidia-smi')\n",
-    "\n",
-    "if \"A100\" in s:\n",
-    "    print(\"Detected A100, installing stable xformers\")\n",
-    "    !pip install -U xformers\n",
-    "else:\n",
-    "    # A5000/3090/4090 support requires us to build xformers ourselves for now\n",
-    "    print(\"Building xformers for SM86\")\n",
-    "    !apt-get update && apt-get install -y gcc g++\n",
-    "    !export TORCH_CUDA_ARCH_LIST=8.6 && pip install git+https://github.com/facebookresearch/xformers.git@48a77cc#egg=xformers\n",
-    "\n",
     "print(\"DONE\")"
    ]
   },
@@ -184,6 +184,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%cd /workspace/EveryDream2trainer\n",
     "repo=\"panopstor/EveryDream\"\n",
     "ckpt_file=\"sd_v1-5_vae.ckpt\"\n",
     "\n",
@@ -230,16 +231,33 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!python train.py --project_name \"ft_v1a_512_15e7\" \\\n",
+    "%cd /workspace/EveryDream2trainer\n",
-    "--resume_ckpt \"{ckpt_name}\" \\\n",
+    "!python train.py --project_name \"sd1_mymodel_000\" \\\n",
+    "--resume_ckpt \"sd_v1-5_vae\" \\\n",
+    "--data_root \"input\" \\\n",
+    "--resolution 512 \\\n",
+    "--batch_size 8 \\\n",
+    "--max_epochs 100 \\\n",
+    "--save_every_n_epochs 50 \\\n",
+    "--lr 1.8e-6 \\\n",
+    "--lr_scheduler cosine \\\n",
+    "--sample_steps 250 \\\n",
+    "--useadam8bit \\\n",
+    "--save_full_precision \\\n",
+    "--shuffle_tags \\\n",
+    "--amp \\\n",
+    "--write_schedule\n",
+    "\n",
+    "!python train.py --project_name \"sd1_mymodel_100\" \\\n",
+    "--resume_ckpt \"findlast\" \\\n",
     "--data_root \"input\" \\\n",
     "--resolution 512 \\\n",
     "--batch_size 4 \\\n",
-    "--max_epochs 200 \\\n",
+    "--max_epochs 100 \\\n",
-    "--save_every_n_epochs 25 \\\n",
+    "--save_every_n_epochs 20 \\\n",
-    "--lr 1.5e-6 \\\n",
+    "--lr 1.0e-6 \\\n",
     "--lr_scheduler constant \\\n",
-    "--sample_steps 50 \\\n",
+    "--sample_steps 150 \\\n",
     "--useadam8bit \\\n",
     "--save_full_precision \\\n",
     "--shuffle_tags \\\n",
@@ -247,38 +265,6 @@
     "--write_schedule"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "ca170883-2d18-4f34-adbb-aca5824a351b",
-   "metadata": {},
-   "source": [
-    "## You can chain togther a tuning schedule using `--resume_ckpt findlast`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f39291ef-bea9-471e-bbc7-7b681fa87eb3",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!python train.py --project_name \"ft_v1b_512_07e7\" \\\n",
-    "--resume_ckpt findlast \\\n",
-    "--data_root \"input\" \\\n",
-    "--resolution 512 \\\n",
-    "--batch_size 4 \\\n",
-    "--max_epochs 50 \\\n",
-    "--save_every_n_epochs 25 \\\n",
-    "--lr 0.7e-6 \\\n",
-    "--lr_scheduler constant \\\n",
-    "--sample_steps 50 \\\n",
-    "--useadam8bit \\\n",
-    "--save_full_precision \\\n",
-    "--shuffle_tags \\\n",
-    "--amp \\\n",
-    "--write_schedule\n"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "f24eee3d-f5df-45f3-9acc-ee0206cfe6b1",
@@ -320,8 +306,8 @@
     "!huggingface-cli lfs-enable-largefiles\n",
     "# fill in these three fields:\n",
     "hfusername = \"MyHfUser\"\n",
-    "reponame = \"MyRepo\"\n",
+    "reponame = \"MyHfRepo\"\n",
-    "ckpt_name = \"ft_v1b_512_15e7-ep200-gs02500.ckpt\"\n",
+    "ckpt_name = \"sd1_mymodel_000-ep100-gs01000.ckpt\"\n",
     "\n",
     "\n",
     "target_name = ckpt_name.replace('-','').replace('=','')\n",
@@ -348,7 +334,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -362,7 +348,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.6.10"
   },
   "vscode": {
    "interpreter": {