{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "b79c65fa", "metadata": {}, "outputs": [], "source": [ "import os\n", "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"4\" \n", "os.environ[\"WORLD_SIZE\"] = \"1\"" ] }, { "cell_type": "code", "execution_count": 2, "id": "411c59b3-f177-4a10-8925-d931ce572eaa", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n", "2023-10-17 09:05:52.252445: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", "To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", "2023-10-17 09:05:57.112508: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" ] } ], "source": [ "from types import MethodType\n", "\n", "import torch\n", "from diffusers import StableDiffusionControlNetPipeline, DDIMScheduler, AutoencoderKL, ControlNetModel\n", "from PIL import Image\n", "\n", "from ip_adapter import IPAdapterPlus" ] }, { "cell_type": "code", "execution_count": 3, "id": "6b6dc69c-192d-4d74-8b1e-f0d9ccfbdb49", "metadata": {}, "outputs": [], "source": [ "base_model_path = \"runwayml/stable-diffusion-v1-5\"\n", "vae_model_path = \"stabilityai/sd-vae-ft-mse\"\n", "image_encoder_path = \"models/image_encoder/\"\n", "ip_ckpt = \"models/ip-adapter-plus-face_sd15.bin\"\n", "device = \"cuda\"" ] }, { "cell_type": "code", "execution_count": 4, "id": "63ec542f-8474-4f38-9457-073425578073", "metadata": {}, "outputs": [], "source": [ "def image_grid(imgs, rows, cols):\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", " return grid\n", "\n", "noise_scheduler = DDIMScheduler(\n", " num_train_timesteps=1000,\n", " beta_start=0.00085,\n", " beta_end=0.012,\n", " beta_schedule=\"scaled_linear\",\n", " clip_sample=False,\n", " set_alpha_to_one=False,\n", " steps_offset=1,\n", ")\n", "vae = AutoencoderKL.from_pretrained(vae_model_path).to(dtype=torch.float16)" ] }, { "cell_type": "markdown", "id": "32531744", "metadata": {}, "source": [ "## ControlNet Depth" ] }, { "cell_type": "code", "execution_count": null, "id": "03d21b57", "metadata": {}, "outputs": [], "source": [ "# load controlnet\n", "controlnet_model_path = \"lllyasviel/control_v11f1p_sd15_depth\"\n", "controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch.float16)\n", "# load SD pipeline\n", "pipe = StableDiffusionControlNetPipeline.from_pretrained(\n", " base_model_path,\n", " controlnet=controlnet,\n", " torch_dtype=torch.float16,\n", " scheduler=noise_scheduler,\n", " vae=vae,\n", " feature_extractor=None,\n", " safety_checker=None\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "3849f9d0-5f68-4a49-9190-69dd50720cae", "metadata": {}, "outputs": [], "source": [ "# load SD pipeline\n", "# del pipe, ip_model\n", "torch.cuda.empty_cache()\n", "image = Image.open(\"assets/my_imgs/maayan_face.jpg\")\n", "depth_map = Image.open(\"assets/my_imgs/maayan_face_depth.png\")\n", "image_grid([image.resize((256, 256)), depth_map.resize((256, 256))], 1, 2)" ] }, { "cell_type": "code", "execution_count": null, "id": "3e3ccada", "metadata": {}, "outputs": [], "source": [ "state_dict = torch.load(ip_ckpt, map_location=\"cpu\")" ] }, { "cell_type": "code", "execution_count": null, "id": "c9fdffb1", "metadata": {}, "outputs": [], "source": [ "state_dict.keys()" ] }, { "cell_type": "code", "execution_count": null, "id": "cd8b75da", "metadata": {}, "outputs": [], "source": [ "\n", "from ip_adapter import IPAdapter\n", "from ip_adapter.resampler import Resampler\n", "\n", "class IPAdapterPlus(IPAdapter):\n", " \"\"\"IP-Adapter with fine-grained features\"\"\"\n", " \n", " def init_proj(self):\n", " image_proj_model = Resampler(\n", " dim=self.pipe.unet.config.cross_attention_dim,\n", " depth=4, \n", " dim_head=64,\n", " heads=12,\n", " num_queries=self.num_tokens,\n", " embedding_dim=self.image_encoder.config.hidden_size,\n", " output_dim=self.pipe.unet.config.cross_attention_dim,\n", " ff_mult=4\n", " ).to(self.device, dtype=torch.float16)\n", " return image_proj_model\n", " \n", " @torch.inference_mode()\n", " def get_image_embeds(self, pil_image):\n", " if isinstance(pil_image, Image.Image):\n", " pil_image = [pil_image]\n", " clip_image = self.clip_image_processor(images=pil_image, return_tensors=\"pt\").pixel_values\n", " clip_image = clip_image.to(self.device, dtype=torch.float16)\n", " clip_image_embeds = self.image_encoder(clip_image, output_hidden_states=True).hidden_states[-2]\n", " image_prompt_embeds = self.image_proj_model(clip_image_embeds)\n", " uncond_clip_image_embeds = self.image_encoder(torch.zeros_like(clip_image), output_hidden_states=True).hidden_states[-2]\n", " uncond_image_prompt_embeds = self.image_proj_model(uncond_clip_image_embeds)\n", " return image_prompt_embeds, uncond_image_prompt_embeds" ] }, { "cell_type": "code", "execution_count": null, "id": "83ca54b3", "metadata": {}, "outputs": [], "source": [ "hasattr(pipe, \"controlnet\")" ] }, { "cell_type": "code", "execution_count": null, "id": "ec09e937-3904-4d8e-a559-9066502ded36", "metadata": {}, "outputs": [], "source": [ "# load ip-adapter\n", "ip_model = IPAdapterPlus(pipe, image_encoder_path, ip_ckpt, device)" ] }, { "cell_type": "code", "execution_count": null, "id": "a23de3d2-169e-470b-8012-960e3d07b04b", "metadata": {}, "outputs": [], "source": [ "# generate image variations\n", "images = ip_model.generate(pil_image=image, image=depth_map, num_samples=4, num_inference_steps=50, seed=42)\n", "grid = image_grid(images, 1, 4)\n", "grid" ] }, { "cell_type": "markdown", "id": "2d81b300", "metadata": {}, "source": [ "## ControlNet OpenPose" ] }, { "cell_type": "code", "execution_count": 9, "id": "9e65f807", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Loading pipeline components...: 100%|██████████| 5/5 [00:23<00:00, 4.75s/it]\n", "You have disabled the safety checker for by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .\n" ] } ], "source": [ "# load SD pipe\n", "# del pipe, ip_model\n", "torch.cuda.empty_cache()\n", "# load controlnet\n", "controlnet_model_path = \"lllyasviel/control_v11p_sd15_openpose\"\n", "controlnet = ControlNetModel.from_pretrained(controlnet_model_path, torch_dtype=torch.float16)\n", "# load SD pipeline\n", "pipe = StableDiffusionControlNetPipeline.from_pretrained(\n", " base_model_path,\n", " controlnet=controlnet,\n", " torch_dtype=torch.float16,\n", " scheduler=noise_scheduler,\n", " vae=vae,\n", " feature_extractor=None,\n", " safety_checker=None\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "id": "6f362074", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/JpegImagePlugin.py:639 in    │\n",
       "│ _save                                                                                            │\n",
       "│                                                                                                  │\n",
       "│   636 │   │   raise ValueError(msg)                                                              │\n",
       "│   637 │                                                                                          │\n",
       "│   638 │   try:                                                                                   │\n",
       "│ ❱ 639 │   │   rawmode = RAWMODE[im.mode]                                                         │\n",
       "│   640 │   except KeyError as e:                                                                  │\n",
       "│   641 │   │   msg = f\"cannot write mode {im.mode} as JPEG\"                                       │\n",
       "│   642 │   │   raise OSError(msg) from e                                                          │\n",
       "╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "KeyError: 'RGBA'\n",
       "\n",
       "The above exception was the direct cause of the following exception:\n",
       "\n",
       "╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/Image.py:643 in _repr_image  │\n",
       "│                                                                                                  │\n",
       "│    640 │   │   \"\"\"                                                                               │\n",
       "│    641 │   │   b = io.BytesIO()                                                                  │\n",
       "│    642 │   │   try:                                                                              │\n",
       "│ ❱  643 │   │   │   self.save(b, image_format, **kwargs)                                          │\n",
       "│    644 │   │   except Exception as e:                                                            │\n",
       "│    645 │   │   │   msg = f\"Could not save to {image_format} for display\"                         │\n",
       "│    646 │   │   │   raise ValueError(msg) from e                                                  │\n",
       "│                                                                                                  │\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/Image.py:2413 in save        │\n",
       "│                                                                                                  │\n",
       "│   2410 │   │   │   │   fp = builtins.open(filename, \"w+b\")                                       │\n",
       "│   2411 │   │                                                                                     │\n",
       "│   2412 │   │   try:                                                                              │\n",
       "│ ❱ 2413 │   │   │   save_handler(self, fp, filename)                                              │\n",
       "│   2414 │   │   except Exception:                                                                 │\n",
       "│   2415 │   │   │   if open_fp:                                                                   │\n",
       "│   2416 │   │   │   │   fp.close()                                                                │\n",
       "│                                                                                                  │\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/JpegImagePlugin.py:642 in    │\n",
       "│ _save                                                                                            │\n",
       "│                                                                                                  │\n",
       "│   639 │   │   rawmode = RAWMODE[im.mode]                                                         │\n",
       "│   640 │   except KeyError as e:                                                                  │\n",
       "│   641 │   │   msg = f\"cannot write mode {im.mode} as JPEG\"                                       │\n",
       "│ ❱ 642 │   │   raise OSError(msg) from e                                                          │\n",
       "│   643 │                                                                                          │\n",
       "│   644 │   info = im.encoderinfo                                                                  │\n",
       "│   645                                                                                            │\n",
       "╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "OSError: cannot write mode RGBA as JPEG\n",
       "\n",
       "The above exception was the direct cause of the following exception:\n",
       "\n",
       "╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/IPython/core/formatters.py:221   │\n",
       "│ in catch_format_error                                                                            │\n",
       "│                                                                                                  │\n",
       "│    218 def catch_format_error(method, self, *args, **kwargs):                                    │\n",
       "│    219 │   \"\"\"show traceback on failed format call\"\"\"                                            │\n",
       "│    220 │   try:                                                                                  │\n",
       "│ ❱  221 │   │   r = method(self, *args, **kwargs)                                                 │\n",
       "│    222 │   except NotImplementedError:                                                           │\n",
       "│    223 │   │   # don't warn on NotImplementedErrors                                              │\n",
       "│    224 │   │   return self._check_return(None, args[0])                                          │\n",
       "│                                                                                                  │\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/IPython/core/formatters.py:342   │\n",
       "│ in __call__                                                                                      │\n",
       "│                                                                                                  │\n",
       "│    339 │   │   │   # Finally look for special method names                                       │\n",
       "│    340 │   │   │   method = get_real_method(obj, self.print_method)                              │\n",
       "│    341 │   │   │   if method is not None:                                                        │\n",
       "│ ❱  342 │   │   │   │   return method()                                                           │\n",
       "│    343 │   │   │   return None                                                                   │\n",
       "│    344 │   │   else:                                                                             │\n",
       "│    345 │   │   │   return None                                                                   │\n",
       "│                                                                                                  │\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/Image.py:661 in _repr_jpeg_  │\n",
       "│                                                                                                  │\n",
       "│    658 │   │                                                                                     │\n",
       "│    659 │   │   :returns: JPEG version of the image as bytes                                      │\n",
       "│    660 │   │   \"\"\"                                                                               │\n",
       "│ ❱  661 │   │   return self._repr_image(\"JPEG\")                                                   │\n",
       "│    662 │                                                                                         │\n",
       "│    663 │   @property                                                                             │\n",
       "│    664 │   def __array_interface__(self):                                                        │\n",
       "│                                                                                                  │\n",
       "│ /fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/Image.py:646 in _repr_image  │\n",
       "│                                                                                                  │\n",
       "│    643 │   │   │   self.save(b, image_format, **kwargs)                                          │\n",
       "│    644 │   │   except Exception as e:                                                            │\n",
       "│    645 │   │   │   msg = f\"Could not save to {image_format} for display\"                         │\n",
       "│ ❱  646 │   │   │   raise ValueError(msg) from e                                                  │\n",
       "│    647 │   │   return b.getvalue()                                                               │\n",
       "│    648 │                                                                                         │\n",
       "│    649 │   def _repr_png_(self):                                                                 │\n",
       "╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\n",
       "ValueError: Could not save to JPEG for display\n",
       "
\n" ], "text/plain": [ "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/\u001b[0m\u001b[1;33mJpegImagePlugin.py\u001b[0m:\u001b[94m639\u001b[0m in \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[92m_save\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m636 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mValueError\u001b[0m(msg) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m637 \u001b[0m\u001b[2m│ \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m638 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m639 \u001b[2m│ │ \u001b[0mrawmode = RAWMODE[im.mode] \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m640 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mKeyError\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m641 \u001b[0m\u001b[2m│ │ \u001b[0mmsg = \u001b[33mf\u001b[0m\u001b[33m\"\u001b[0m\u001b[33mcannot write mode \u001b[0m\u001b[33m{\u001b[0mim.mode\u001b[33m}\u001b[0m\u001b[33m as JPEG\u001b[0m\u001b[33m\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m642 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mOSError\u001b[0m(msg) \u001b[94mfrom\u001b[0m \u001b[4;96me\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n", "\u001b[1;91mKeyError: \u001b[0m\u001b[32m'RGBA'\u001b[0m\n", "\n", "\u001b[3mThe above exception was the direct cause of the following exception:\u001b[0m\n", "\n", "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/\u001b[0m\u001b[1;33mImage.py\u001b[0m:\u001b[94m643\u001b[0m in \u001b[92m_repr_image\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 640 \u001b[0m\u001b[2;33m│ │ \u001b[0m\u001b[33m\"\"\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 641 \u001b[0m\u001b[2m│ │ \u001b[0mb = io.BytesIO() \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 642 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 643 \u001b[2m│ │ │ \u001b[0m\u001b[96mself\u001b[0m.save(b, image_format, **kwargs) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 644 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mException\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 645 \u001b[0m\u001b[2m│ │ │ \u001b[0mmsg = \u001b[33mf\u001b[0m\u001b[33m\"\u001b[0m\u001b[33mCould not save to \u001b[0m\u001b[33m{\u001b[0mimage_format\u001b[33m}\u001b[0m\u001b[33m for display\u001b[0m\u001b[33m\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 646 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mValueError\u001b[0m(msg) \u001b[94mfrom\u001b[0m \u001b[4;96me\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/\u001b[0m\u001b[1;33mImage.py\u001b[0m:\u001b[94m2413\u001b[0m in \u001b[92msave\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m2410 \u001b[0m\u001b[2m│ │ │ │ \u001b[0mfp = builtins.open(filename, \u001b[33m\"\u001b[0m\u001b[33mw+b\u001b[0m\u001b[33m\"\u001b[0m) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m2411 \u001b[0m\u001b[2m│ │ \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m2412 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m2413 \u001b[2m│ │ │ \u001b[0msave_handler(\u001b[96mself\u001b[0m, fp, filename) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m2414 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mException\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m2415 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mif\u001b[0m open_fp: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m2416 \u001b[0m\u001b[2m│ │ │ │ \u001b[0mfp.close() \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/\u001b[0m\u001b[1;33mJpegImagePlugin.py\u001b[0m:\u001b[94m642\u001b[0m in \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[92m_save\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m639 \u001b[0m\u001b[2m│ │ \u001b[0mrawmode = RAWMODE[im.mode] \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m640 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mKeyError\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m641 \u001b[0m\u001b[2m│ │ \u001b[0mmsg = \u001b[33mf\u001b[0m\u001b[33m\"\u001b[0m\u001b[33mcannot write mode \u001b[0m\u001b[33m{\u001b[0mim.mode\u001b[33m}\u001b[0m\u001b[33m as JPEG\u001b[0m\u001b[33m\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m642 \u001b[2m│ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mOSError\u001b[0m(msg) \u001b[94mfrom\u001b[0m \u001b[4;96me\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m643 \u001b[0m\u001b[2m│ \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m644 \u001b[0m\u001b[2m│ \u001b[0minfo = im.encoderinfo \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m645 \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n", "\u001b[1;91mOSError: \u001b[0mcannot write mode RGBA as JPEG\n", "\n", "\u001b[3mThe above exception was the direct cause of the following exception:\u001b[0m\n", "\n", "\u001b[31m╭─\u001b[0m\u001b[31m──────────────────────────────\u001b[0m\u001b[31m \u001b[0m\u001b[1;31mTraceback \u001b[0m\u001b[1;2;31m(most recent call last)\u001b[0m\u001b[31m \u001b[0m\u001b[31m───────────────────────────────\u001b[0m\u001b[31m─╮\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/IPython/core/\u001b[0m\u001b[1;33mformatters.py\u001b[0m:\u001b[94m221\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m in \u001b[92mcatch_format_error\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 218 \u001b[0m\u001b[94mdef\u001b[0m \u001b[92mcatch_format_error\u001b[0m(method, \u001b[96mself\u001b[0m, *args, **kwargs): \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 219 \u001b[0m\u001b[2;90m│ \u001b[0m\u001b[33m\"\"\"show traceback on failed format call\"\"\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 220 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mtry\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 221 \u001b[2m│ │ \u001b[0mr = method(\u001b[96mself\u001b[0m, *args, **kwargs) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 222 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mNotImplementedError\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 223 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[2m# don't warn on NotImplementedErrors\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 224 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mself\u001b[0m._check_return(\u001b[94mNone\u001b[0m, args[\u001b[94m0\u001b[0m]) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/IPython/core/\u001b[0m\u001b[1;33mformatters.py\u001b[0m:\u001b[94m342\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m in \u001b[92m__call__\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 339 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[2m# Finally look for special method names\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 340 \u001b[0m\u001b[2m│ │ │ \u001b[0mmethod = get_real_method(obj, \u001b[96mself\u001b[0m.print_method) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 341 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mif\u001b[0m method \u001b[95mis\u001b[0m \u001b[95mnot\u001b[0m \u001b[94mNone\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 342 \u001b[2m│ │ │ │ \u001b[0m\u001b[94mreturn\u001b[0m method() \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 343 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[94mNone\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 344 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94melse\u001b[0m: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 345 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[94mNone\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/\u001b[0m\u001b[1;33mImage.py\u001b[0m:\u001b[94m661\u001b[0m in \u001b[92m_repr_jpeg_\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 658 \u001b[0m\u001b[2m│ │ \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 659 \u001b[0m\u001b[2;33m│ │ \u001b[0m\u001b[33m:returns: JPEG version of the image as bytes\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 660 \u001b[0m\u001b[2;33m│ │ \u001b[0m\u001b[33m\"\"\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 661 \u001b[2m│ │ \u001b[0m\u001b[94mreturn\u001b[0m \u001b[96mself\u001b[0m._repr_image(\u001b[33m\"\u001b[0m\u001b[33mJPEG\u001b[0m\u001b[33m\"\u001b[0m) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 662 \u001b[0m\u001b[2m│ \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 663 \u001b[0m\u001b[2m│ \u001b[0m\u001b[1;95m@property\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 664 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mdef\u001b[0m \u001b[92m__array_interface__\u001b[0m(\u001b[96mself\u001b[0m): \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2;33m/fsx/homes/afruchtman/.envs/ms_env/lib/python3.10/site-packages/PIL/\u001b[0m\u001b[1;33mImage.py\u001b[0m:\u001b[94m646\u001b[0m in \u001b[92m_repr_image\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 643 \u001b[0m\u001b[2m│ │ │ \u001b[0m\u001b[96mself\u001b[0m.save(b, image_format, **kwargs) \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 644 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mexcept\u001b[0m \u001b[96mException\u001b[0m \u001b[94mas\u001b[0m e: \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 645 \u001b[0m\u001b[2m│ │ │ \u001b[0mmsg = \u001b[33mf\u001b[0m\u001b[33m\"\u001b[0m\u001b[33mCould not save to \u001b[0m\u001b[33m{\u001b[0mimage_format\u001b[33m}\u001b[0m\u001b[33m for display\u001b[0m\u001b[33m\"\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[31m❱ \u001b[0m 646 \u001b[2m│ │ │ \u001b[0m\u001b[94mraise\u001b[0m \u001b[96mValueError\u001b[0m(msg) \u001b[94mfrom\u001b[0m \u001b[4;96me\u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 647 \u001b[0m\u001b[2m│ │ \u001b[0m\u001b[94mreturn\u001b[0m b.getvalue() \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 648 \u001b[0m\u001b[2m│ \u001b[0m \u001b[31m│\u001b[0m\n", "\u001b[31m│\u001b[0m \u001b[2m 649 \u001b[0m\u001b[2m│ \u001b[0m\u001b[94mdef\u001b[0m \u001b[92m_repr_png_\u001b[0m(\u001b[96mself\u001b[0m): \u001b[31m│\u001b[0m\n", "\u001b[31m╰──────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n", "\u001b[1;91mValueError: \u001b[0mCould not save to JPEG for display\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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", "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# read image prompt\n", "image = Image.open(\"assets/images/girl.png\")\n", "image.resize((256, 256))" ] }, { "cell_type": "code", "execution_count": 7, "id": "699f51c5", "metadata": {}, "outputs": [ { "data": { "image/jpeg": 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", "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "openpose_image = Image.open(\"assets/structure_controls/openpose.png\")\n", "openpose_image.resize((256, 384))" ] }, { "cell_type": "code", "execution_count": 11, "id": "d105fe60", "metadata": {}, "outputs": [ { "data": { "image/jpeg": 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", "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "openpose_image" ] }, { "cell_type": "code", "execution_count": null, "id": "600e1787", "metadata": {}, "outputs": [], "source": [ "# load ip-adapter\n", "ip_model = IPAdapter(pipe, image_encoder_path, ip_ckpt, device)" ] }, { "cell_type": "code", "execution_count": null, "id": "b16a5084", "metadata": {}, "outputs": [], "source": [ "# generate\n", "images = ip_model.generate(pil_image=image, image=openpose_image, width=512, height=768, num_samples=4, num_inference_steps=50, seed=42)\n", "grid = image_grid(images, 1, 4)\n", "grid" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }