{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vDtHupztX_oq", "outputId": "9820a3b4-c336-467e-a681-a5171f94f25d" }, "outputs": [], "source": [ "!pip install -q insightface==0.7.3\n", "\n", "######################################################################\n", "!pip install -q --upgrade diffusers\n", "!pip install -q --upgrade transformers\n", "!pip install -q --upgrade tokenizers\n", "######################################################################\n", "!pip install -q --upgrade peft\n", "######################################################################\n", "#!pip install diffusers==0.21.1 transformers==4.33.2 tokenizers==0.13.3\n", "######################################################################\n", "\n", "!pip install -q accelerate\n", "!pip install -q safetensors\n", "!pip install -q einops\n", "!pip install -q onnxruntime-gpu\n", "!pip install -q opencv-python\n", "!pip install -q git+https://github.com/tencent-ailab/IP-Adapter.git" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "SwZfqvqIXYSv", "outputId": "5bd761e0-a6fb-4778-ccd8-4a8eec3801d7" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}}\n", "find model: C:\\Users\\doron/.insightface\\models\\buffalo_l\\1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n", "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}}\n", "find model: C:\\Users\\doron/.insightface\\models\\buffalo_l\\2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n", "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}}\n", "find model: C:\\Users\\doron/.insightface\\models\\buffalo_l\\det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n", "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}}\n", "find model: C:\\Users\\doron/.insightface\\models\\buffalo_l\\genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n", "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CUDAExecutionProvider': {'cudnn_conv_algo_search': 'EXHAUSTIVE', 'device_id': '0', 'cudnn_conv1d_pad_to_nc1d': '0', 'has_user_compute_stream': '0', 'gpu_external_alloc': '0', 'enable_cuda_graph': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'tunable_op_tuning_enable': '0', 'tunable_op_max_tuning_duration_ms': '0', 'enable_skip_layer_norm_strict_mode': '0'}, 'CPUExecutionProvider': {}}\n", "find model: C:\\Users\\doron/.insightface\\models\\buffalo_l\\w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n", "set det-size: (640, 640)\n" ] } ], "source": [ "import torch\n", "from diffusers.utils import load_image\n", "from PIL import Image\n", "from insightface.app import FaceAnalysis\n", "from insightface.utils import face_align\n", "\n", "\n", "\n", "app = FaceAnalysis(name=\"buffalo_l\", providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])\n", "app.prepare(ctx_id=0, det_size=(640, 640))\n" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "L_AcmD5OXYSx", "outputId": "600f7991-bdbb-40c2-ab19-8406618caaca" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "--2024-01-10 23:19:00-- https://huggingface.co/datasets/Norod78/face_id_v2_test_code/resolve/main/images/gal-gadot.jpg?download=true\n", "Resolving huggingface.co (huggingface.co)... 13.226.2.116, 13.226.2.92, 13.226.2.69, ...\n", "Connecting to huggingface.co (huggingface.co)|13.226.2.116|:443... connected.\n", "HTTP request sent, awaiting response... 302 Found\n", "Location: https://cdn-lfs-us-1.huggingface.co/repos/db/3b/db3b6f80aa81c3ad25ec703e147143b8285bf71952926162dbdb637973e877b0/f94e7a8cfa19f43f1aa5ff50cb069bff5f5b76b9a26c8ac98f1b383cbc4c37d2?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27gal-gadot.jpg%3B+filename%3D%22gal-gadot.jpg%22%3B&response-content-type=image%2Fjpeg&Expires=1705180739&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwNTE4MDczOX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2RiLzNiL2RiM2I2ZjgwYWE4MWMzYWQyNWVjNzAzZTE0NzE0M2I4Mjg1YmY3MTk1MjkyNjE2MmRiZGI2Mzc5NzNlODc3YjAvZjk0ZTdhOGNmYTE5ZjQzZjFhYTVmZjUwY2IwNjliZmY1ZjViNzZiOWEyNmM4YWM5OGYxYjM4M2NiYzRjMzdkMj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=lcwG0lqPe8pkzL1FDDQcumXgNKFBJNOmUXGdGMmcRZfwplOIsc3GuFbGDINsSLG21Zwo6W%7EXPnmvF2ZbN5BXq3AijwznCNnp3emKWh3CVrv2e60is3OzrsXI8S1Wo37oADbLXO-E55bd%7E3DEEqWGGXWxJAHn-OpeAYNwuWlAFXjEXbMeT%7EHRSoNW1ty2Tav1UgE1%7EWWHpjCojNtHkauW77tsbEV7T5iafNiq3Hea201XCItTp-eEtUtwWBdz6yyp7EAvF84zvu7LpwRK7d2BFHAiLtB0AeQGQyOQTtzNghCdKJk%7E6i4pvDrReF22AfBERoe95RO10QhWjmMQxurqBA__&Key-Pair-Id=KCD77M1F0VK2B [following]\n", "--2024-01-10 23:19:00-- 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"Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 65.9.112.3, 65.9.112.88, 65.9.112.45, ...\n", "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|65.9.112.3|:443... connected.\n", "HTTP request sent, awaiting response... 416 Requested Range Not Satisfiable\n", "\n", " The file is already fully retrieved; nothing to do.\n", "\n", "--2024-01-10 23:19:00-- https://huggingface.co/datasets/Norod78/face_id_v2_test_code/resolve/main/images/margot-robbie.jpg?download=true\n", "Resolving huggingface.co (huggingface.co)... 13.226.2.116, 13.226.2.92, 13.226.2.69, ...\n", "Connecting to huggingface.co (huggingface.co)|13.226.2.116|:443... connected.\n", "HTTP request sent, awaiting response... 302 Found\n", "Location: https://cdn-lfs-us-1.huggingface.co/repos/db/3b/db3b6f80aa81c3ad25ec703e147143b8285bf71952926162dbdb637973e877b0/67ba7730882d239ba395bd466dd60b01c7cc6ab9df61782d3fb2bad4907e5ec3?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27margot-robbie.jpg%3B+filename%3D%22margot-robbie.jpg%22%3B&response-content-type=image%2Fjpeg&Expires=1705180739&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwNTE4MDczOX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2RiLzNiL2RiM2I2ZjgwYWE4MWMzYWQyNWVjNzAzZTE0NzE0M2I4Mjg1YmY3MTk1MjkyNjE2MmRiZGI2Mzc5NzNlODc3YjAvNjdiYTc3MzA4ODJkMjM5YmEzOTViZDQ2NmRkNjBiMDFjN2NjNmFiOWRmNjE3ODJkM2ZiMmJhZDQ5MDdlNWVjMz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=NtoJJ9%7E%7EPAZ2kYG7LUBvQG-7YZxMRolbDBrcbJP-c9QZI6%7EFwjorcuyY0WpuI-PQO6Gn5EF3RtY8aRBuIm7n52pOBPnDebYVPgUEltz4c2A5p-XKhpLxlqdt4BoWtbviVQ4sJgMhjZyC6V9DTocdJ8cme6Epov3WDPkcTzCrCgXSUclv4c-ExNKcVJ4C9XMFPtqgmfANEcEt2r1PewLQvRfWe3LKJ9oBw6-i9nWiadYmqa1-v%7ENu2mUZ4HeM7X-g%7E5TZYjOUSZLh7uiAbefL5p1Em6lGREZQBVs%7E%7EGjuthbPNERYY33wr4r-Uh7l7uGJeLkjC83e6af5KUgL12JELA__&Key-Pair-Id=KCD77M1F0VK2B [following]\n", "--2024-01-10 23:19:01-- https://cdn-lfs-us-1.huggingface.co/repos/db/3b/db3b6f80aa81c3ad25ec703e147143b8285bf71952926162dbdb637973e877b0/67ba7730882d239ba395bd466dd60b01c7cc6ab9df61782d3fb2bad4907e5ec3?response-content-disposition=attachment%3B+filename*%3DUTF-8''margot-robbie.jpg%3B+filename%3D%22margot-robbie.jpg%22%3B&response-content-type=image%2Fjpeg&Expires=1705180739&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcwNTE4MDczOX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2RiLzNiL2RiM2I2ZjgwYWE4MWMzYWQyNWVjNzAzZTE0NzE0M2I4Mjg1YmY3MTk1MjkyNjE2MmRiZGI2Mzc5NzNlODc3YjAvNjdiYTc3MzA4ODJkMjM5YmEzOTViZDQ2NmRkNjBiMDFjN2NjNmFiOWRmNjE3ODJkM2ZiMmJhZDQ5MDdlNWVjMz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=NtoJJ9~~PAZ2kYG7LUBvQG-7YZxMRolbDBrcbJP-c9QZI6~FwjorcuyY0WpuI-PQO6Gn5EF3RtY8aRBuIm7n52pOBPnDebYVPgUEltz4c2A5p-XKhpLxlqdt4BoWtbviVQ4sJgMhjZyC6V9DTocdJ8cme6Epov3WDPkcTzCrCgXSUclv4c-ExNKcVJ4C9XMFPtqgmfANEcEt2r1PewLQvRfWe3LKJ9oBw6-i9nWiadYmqa1-v~Nu2mUZ4HeM7X-g~5TZYjOUSZLh7uiAbefL5p1Em6lGREZQBVs~~GjuthbPNERYY33wr4r-Uh7l7uGJeLkjC83e6af5KUgL12JELA__&Key-Pair-Id=KCD77M1F0VK2B\n", "Resolving cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)... 65.9.112.3, 65.9.112.88, 65.9.112.45, ...\n", "Connecting to cdn-lfs-us-1.huggingface.co (cdn-lfs-us-1.huggingface.co)|65.9.112.3|:443... connected.\n", "HTTP request sent, awaiting response... 416 Requested Range Not Satisfiable\n", "\n", " The file is already fully retrieved; nothing to do.\n", "\n" ] } ], "source": [ "from diffusers.utils import load_image\n", "from PIL import Image\n", "import os\n", "\n", "os.makedirs(\"images\", exist_ok=True)\n", "!wget --continue https://huggingface.co/datasets/Norod78/face_id_v2_test_code/resolve/main/images/gal-gadot.jpg?download=true -O ./images/gal-gadot.jpg\n", "!wget --continue https://huggingface.co/datasets/Norod78/face_id_v2_test_code/resolve/main/images/margot-robbie.jpg?download=true -O ./images/margot-robbie.jpg\n", "\n", "image_file1 = \"./images/gal-gadot.jpg\"\n", "image_file2 = \"./images/margot-robbie.jpg\"\n", "\n", "\n", "#image = load_image(image_file)\n", "#image.resize((256, 256))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "SZejG4bZXYSx", "outputId": "25e8219a-63c2-4834-d5c9-d11c7276849c" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\Users\\doron\\anaconda3\\envs\\py311\\Lib\\site-packages\\insightface\\utils\\transform.py:68: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n", "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n", " P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "1\n", "1\n" ] } ], "source": [ "import cv2\n", "image1 = cv2.imread(image_file1)\n", "image2 = cv2.imread(image_file2)\n", "\n", "faces1 = app.get(image1)\n", "print(len(faces1))\n", "faceid_embeds1 = torch.from_numpy(faces1[0].normed_embedding).unsqueeze(0)\n", "faces2 = app.get(image2)\n", "print(len(faces2))\n", "faceid_embeds2 = torch.from_numpy(faces2[0].normed_embedding).unsqueeze(0)\n", "\n", "# interpolate between the two faces\n", "faceid_embeds = torch.lerp(faceid_embeds1, faceid_embeds2, 0.5)\n", "\n", "image1 = face_align.norm_crop(image1, landmark=faces1[0].kps, image_size=224)\n", "image2 = face_align.norm_crop(image2, landmark=faces2[0].kps, image_size=224)\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "lKeNw9c3XYSy", "outputId": "d92fedd3-2f87-45f5-c785-e70b3d9adccb" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:\n", " PyTorch 2.1.1+cu121 with CUDA 1201 (you have 2.1.1+cu118)\n", " Python 3.11.6 (you have 3.11.5)\n", " Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)\n", " Memory-efficient attention, SwiGLU, sparse and more won't be available.\n", " Set XFORMERS_MORE_DETAILS=1 for more details\n", "A matching Triton is not available, some optimizations will not be enabled.\n", "Error caught was: No module named 'triton'\n" ] } ], "source": [ "from diffusers import StableDiffusionXLPipeline, DDIMScheduler, AutoencoderKL\n", "from huggingface_hub import hf_hub_download\n", "from PIL import Image\n", "\n", "from ip_adapter.ip_adapter_faceid import IPAdapterFaceIDXL\n", "\n", "base_model_path = \"stabilityai/stable-diffusion-xl-base-1.0\"\n", "vae_model_path = \"madebyollin/sdxl-vae-fp16-fix\"\n", "ip_ckpt = hf_hub_download(repo_id=\"h94/IP-Adapter-FaceID\", filename=\"ip-adapter-faceid_sdxl.bin\", repo_type=\"model\")\n", "device = \"cuda\"" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "id": "9WLlTz4uXYSz" }, "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" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 104, "referenced_widgets": [ "b4e55d5f568f43368f043ae44a2f894a", "92eb67866e6a4501954828096845a37f", "5975e3202bf0421a80c039830902153d", "4c6e93290d0140c4b6005af82e387e61", "ebb70bb37fac4570a66dcdeff0420e13", "935bcc158e3f4ca9accd047ea8698b19", "ff76425b5be94f6cab8bf765192f1585", "4dc6664595434fe68d56cec87b2fa390", "2ea11270b49241fe817d3487c6509881", "8115c76a31ad4ba498b2eb5fcdd1d53e", "7c8b583c48c34e2e8e3d79427e2cb388" ] }, "id": "GAZWbIgcXYSz", "outputId": "7b01c93b-3711-4192-f986-e8b19aae2c6d" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading vae\n", "Loading pipeline\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Keyword arguments {'safety_checker': None} are not expected by StableDiffusionXLPipeline and will be ignored.\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "893e6710b210402ca3f644df99ad5d84", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Loading pipeline components...: 0%| | 0/7 [00:00" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "print(image.shape)\n", "img1 = cv2.cvtColor(image1, cv2.COLOR_BGR2RGB)\n", "img2 = cv2.cvtColor(image2, cv2.COLOR_BGR2RGB)\n", "img = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n", "pil_images = [Image.fromarray(img1), Image.fromarray(img), Image.fromarray(img2)]\n", "grid = image_grid(pil_images, 1, 3)\n", "grid" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "4e9c4200fa9840e3abcc0970a6cf3f8d", "aa047cc186174483b2f3ade2f3fc9555", "4a38589670784c02ab15ebf3af64958f", "b4bd560bf55b487dbd762b2a5837e8b5", "b2bcee9ab60b4dd68fae96b9d8844eba", "d951b4c5b12a417b8c50f6f7739c5881", "088beb7c9f52499c96968439557da037", "6c50e48239aa4c479d324081363bfca7", "4ce5457614f64c92b90e9079f24b1630", "add3d5f893ec4c3ba0b7d7dc57c70594", "4ee997a3df0447bda6c3988b7a725f5a" ] }, "id": "bIjgewxPXYS3", "outputId": "280222c2-366a-42c3-8d8e-85351ba48740" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "06ab79cd9aaf4105be16e9218dfb8a90", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/30 [00:00" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "images = ip_model.generate(\n", " prompt=prompt, negative_prompt=negative_prompt, faceid_embeds=faceid_embeds1, scale=0.4, guidance_scale=7.5, num_samples=2, width=896, height=1024, num_inference_steps=30, seed=2024,\n", ")\n", "\n", "grid = image_grid(images, 1, 2)\n", "grid" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "60d495888afd48818728b1d63f241864", "613d070ee4114e8d81b668a57585e7ff", "8cbb402eba6c4496a12dbff47902d94b", "deaab15c06d3466b932b580e85614404", "2ac8ae1a3a25414b907bbf958c965b87", "b70ca5ab2cfb43ebb8d5c16a78aa2469", "fe5815fb567840d8a88f2a408ebc6016", "14bf44ea436c4006b6ccd0849d7b73d7", "1a4182391d854751b5c3cf20131d6dad", "90e040d9cf9b495d87f52bd699a2e634", "fa98f99c9e2e41f69342a0bd9c14cf2d" ] }, "id": "DFNKzXMXXYS3", "outputId": "bb7836bc-4338-451c-d500-83467250c00a" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "076c275702374d1fbfe209a184b8bb32", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/30 [00:00" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "images = ip_model.generate(\n", " prompt=prompt, negative_prompt=negative_prompt, faceid_embeds=faceid_embeds2, scale=0.4, guidance_scale=7.5, num_samples=2, width=896, height=1024, num_inference_steps=30, seed=2024,\n", ")\n", "\n", "grid = image_grid(images, 1, 2)\n", "grid" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "fa47c9308f714032ba5322377a0cb7cd", "e98ba938042d4d9f932a8c78ec773f25", "ee8421d33f1e42449077c00b6224de4e", "fa0d289244364f0aac65a1187a3dd7fb", "01b3078645d149d5b519f3096cc70d5f", "6ad33dedd13c46c9887efcd4c61cb328", "5d29c5a0397840bba23877548d49b362", "d1ffbe0ef1724bfb8dbdc1d66282e064", "2b05e01cfac94e9dabbae50bb0a9bb6b", "254fffa8b6514c37ad9e57f34d071645", "3077445d880543ffbe9003260e17d7b7" ] }, "id": "s4fUl7roXYS4", "outputId": "c78089fb-944f-4a98-86f0-03f1692e7670" }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0f2ca9ff207a47d8a3b12f82b4915a65", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/30 [00:00" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "images = ip_model.generate(\n", " prompt=prompt, negative_prompt=negative_prompt, faceid_embeds=faceid_embeds, scale=0.4, guidance_scale=7.5, num_samples=2, width=896, height=1024, num_inference_steps=30, seed=2024,\n", ")\n", "\n", "grid = image_grid(images, 1, 2)\n", "grid" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 35, "referenced_widgets": [ "ffff3d1b96c94cfd80419e61ecb3884f", "81a49bc4977f43fbb373e86145953cac", "27ae34f8ec314fa5bc8199ce898060ba", "34a5820f26df43e6ae47605779dedecd", "1790e880ff984b549208ac0a67f15134", "c6a72506640b49d783a919a335c87ed8", "32039578ea054ac5b48a179786d5a671", "37e1267ed381487b861e01a36458be87", "6add8dada2db4936b4693aec2fe713e5", "e5861d0f32654f9381051d8548ff347f", "47d9eee2442c4d19a8f8efdcade89dce", "f3a4f705c2e443f5bce7ca22dea54496", "2da74761a8a446b69d4f63a19b0033fc", "3b95d316dfb543ec9327ae84a8bd57ae", "6515faca676345ee96d6112515acc4f5", "dbbafbf814df48ab8ebac455731f486d", "788a007d7d534f0d8407fc153006ad54", "fd67f872dfac4990923e17af2457d5ed", "30f68a9c65cc4ba7bbc9b1cde6bd3346", "d46e60aeba8746a5ace8021090c43f02", "9fc432099dcb41b29abf99141c2109eb", "06ac8f95fba249e18e732ff0fbddfbdb", "190354c75aab4b048ab7a8203d260c17", "8a5f98ff8a6d49148498612003582965", "41242812911545daae536d3b243c7a00", "f8dc546a7f5e4501b66a41145db6e96d", "1d9344b4d12344878963f24c60dca80f", "af623cedaf4c4fc5a08df1765a9b64f5", "d13bb3e229aa4582844beb79392191c8", "565fc238fdcc46b28d3d51a99132d490", "7ff34334563b49369b6aeffa069f161f", "aef26ee6d21e44edbce89d54000895af", "6d8ca210c116405f9ab0baec83d520c7", "0987bb18987e41ffa33ab3bb98d461d9", "a1fac21044454d6c8628af28e1e1db0a", "42d696cc2c3542408938ba1066cc0ebc", "27705d0874d84371aca69737176d307d", "7251e89f195e4357ab06bb452457824b", "2af7b3914acb4e6e9746d537a050169e", "3c0c2f14f27842ec819123dc5a298e18", "ef6f2e7c6be94c409cc9421e43d641a3", "125ba2a4cb474de38c00202c50aef7de", "3186691d5b074ea2b1dfb334c0c13bdc", "46591730b091478187460f379e626e5c", "e0a9cb6d96aa4008953f5a513498de58", "e71666e63dbc403cbcbe167169ca4b45", "d655b708337c466ab5bba94456fe3275", "f529ee3294864dda9b8f4347ed02fdd0", "b29564d064b74e26be2754e84991693d", "9213ed82bdc445fca730ee3d540b7de2", "f94788a3cc1e46f98e507b23c7e8d6ad", "a5f28a0ad2b24d7ba10f38ef3474d0f4", "bd01995a6b1947219fb5ea51d896bc08", "f0eb5c8908b3474a818e1d436ba737ed", "13b18e73160e4656b2fcf8db42ab1286" ] }, "id": "EpsDmpgtXYS4", "outputId": "b2ea2fcf-f37b-4fb8-d880-88527d78598e" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 25/25 [09:53<00:00, 23.75s/it]\n" ] } ], "source": [ "from pathlib import Path\n", "from tqdm import tqdm\n", "import numpy as np\n", "import os\n", "from IPython.display import clear_output\n", "\n", "seed = 2024\n", "scale=0.4\n", "width = 896\n", "height = 1024\n", "steps=30\n", "num_of_results=25\n", "output_file_prefix=\"gal-margot--lerp-sdxl\" + prompt.replace(\" \", \"_\")\n", "os.makedirs(output_file_prefix, exist_ok=True)\n", "\n", "#automatically prepare a list t of values between 0 and 1\n", "t_space = torch.linspace(0, 1, num_of_results)\n", "print(t_space[0])\n", "\n", "idx = 0\n", "for t in tqdm(t_space):\n", " print(f\"t = {t}\")\n", " mix_factor = t.item()\n", " # interpolate between the two faces\n", " faceid_embeds = torch.lerp(faceid_embeds1, faceid_embeds2, t)\n", " images = ip_model.generate(prompt=prompt, negative_prompt=negative_prompt, faceid_embeds=faceid_embeds, num_samples=2, scale=scale, width=width, height=height, num_inference_steps=30, seed=seed)\n", " grid = image_grid(images, 1, 2)\n", " grid.save(f\"{output_file_prefix}/output-{seed}_{steps}_{int(scale * 100)}--{str(idx).zfill(4)}.jpg\")\n", " idx += 1\n", " clear_output(wait=True)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "dY6bUNPBcBno", "outputId": "69645093-b443-4a2f-eac5-3edecfcf0bac" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "'ls' is not recognized as an internal or external command,\n", "operable program or batch file.\n" ] } ], "source": [ "!ls $output_file_prefix" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "ffmpeg version 4.2.3 Copyright (c) 2000-2020 the FFmpeg developers\n", " built with gcc 9.3.1 (GCC) 20200523\n", " configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --enable-libmfx --enable-amf --enable-ffnvcodec --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt\n", " libavutil 56. 31.100 / 56. 31.100\n", " libavcodec 58. 54.100 / 58. 54.100\n", " libavformat 58. 29.100 / 58. 29.100\n", " libavdevice 58. 8.100 / 58. 8.100\n", " libavfilter 7. 57.100 / 7. 57.100\n", " libswscale 5. 5.100 / 5. 5.100\n", " libswresample 3. 5.100 / 3. 5.100\n", " libpostproc 55. 5.100 / 55. 5.100\n", "Input #0, image2, from '.\\gal-margot--lerp-sdxlfull_body_photo_of_a_standing_woman_wearing_a_fuchsia_Yarn_art_style_dress_in_a_bar\\output-2024_30_40--%4d.jpg':\n", " Duration: 00:00:05.00, start: 0.000000, bitrate: N/A\n", " Stream #0:0: Video: mjpeg (Baseline), yuvj420p(pc, bt470bg/unknown/unknown), 1792x1024 [SAR 1:1 DAR 7:4], 5 fps, 5 tbr, 5 tbn, 5 tbc\n", "Stream mapping:\n", " Stream #0:0 -> #0:0 (mjpeg (native) -> h264 (libx264))\n", "Press [q] to stop, [?] for help\n", "[libx264 @ 00000288407c4fc0] using SAR=1/1\n", "[libx264 @ 00000288407c4fc0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2\n", "[libx264 @ 00000288407c4fc0] profile High, level 4.0, 4:2:0, 8-bit\n", "[libx264 @ 00000288407c4fc0] 264 - core 160 - H.264/MPEG-4 AVC codec - Copyleft 2003-2020 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=5 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=abr mbtree=1 bitrate=8000 ratetol=1.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n", "Output #0, mp4, to '.\\gal-margot--lerp-sdxlfull_body_photo_of_a_standing_woman_wearing_a_fuchsia_Yarn_art_style_dress_in_a_bar-output-2024_30_40.mp4':\n", " Metadata:\n", " encoder : Lavf58.29.100\n", " Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuvj420p(pc), 1792x1024 [SAR 1:1 DAR 7:4], q=-1--1, 8000 kb/s, 5 fps, 10240 tbn, 5 tbc\n", " Metadata:\n", " encoder : Lavc58.54.100 libx264\n", " Side data:\n", " cpb: bitrate max/min/avg: 0/0/8000000 buffer size: 0 vbv_delay: -1\n", "frame= 25 fps=0.0 q=-1.0 Lsize= 7661kB time=00:00:04.40 bitrate=14262.4kbits/s speed=4.95x \n", "video:7659kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.015771%\n", "[libx264 @ 00000288407c4fc0] frame I:1 Avg QP: 0.40 size:712124\n", "[libx264 @ 00000288407c4fc0] frame P:6 Avg QP: 6.16 size:416328\n", "[libx264 @ 00000288407c4fc0] frame B:18 Avg QP: 6.44 size:257360\n", "[libx264 @ 00000288407c4fc0] consecutive B-frames: 4.0% 0.0% 0.0% 96.0%\n", "[libx264 @ 00000288407c4fc0] mb I I16..4: 7.0% 70.2% 22.8%\n", "[libx264 @ 00000288407c4fc0] mb P I16..4: 2.2% 56.7% 5.3% P16..4: 16.9% 10.5% 7.9% 0.0% 0.0% skip: 0.5%\n", "[libx264 @ 00000288407c4fc0] mb B I16..4: 0.3% 9.7% 2.1% B16..8: 22.5% 9.0% 12.8% direct:38.6% skip: 4.9% L0:45.9% L1:33.2% BI:20.9%\n", "[libx264 @ 00000288407c4fc0] final ratefactor: 12.74\n", "[libx264 @ 00000288407c4fc0] 8x8 transform intra:83.1% inter:92.1%\n", "[libx264 @ 00000288407c4fc0] coded y,uvDC,uvAC intra: 78.5% 86.4% 64.0% inter: 60.6% 65.1% 49.6%\n", "[libx264 @ 00000288407c4fc0] i16 v,h,dc,p: 24% 19% 46% 11%\n", "[libx264 @ 00000288407c4fc0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 25% 32% 2% 2% 3% 2% 3% 2%\n", "[libx264 @ 00000288407c4fc0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 25% 16% 10% 7% 8% 8% 7% 10% 9%\n", "[libx264 @ 00000288407c4fc0] i8c dc,h,v,p: 43% 22% 29% 7%\n", "[libx264 @ 00000288407c4fc0] Weighted P-Frames: Y:33.3% UV:33.3%\n", "[libx264 @ 00000288407c4fc0] ref P L0: 56.1% 14.6% 17.4% 8.8% 3.1%\n", "[libx264 @ 00000288407c4fc0] ref B L0: 89.6% 8.3% 2.0%\n", "[libx264 @ 00000288407c4fc0] ref B L1: 96.0% 4.0%\n", "[libx264 @ 00000288407c4fc0] kb/s:12548.12\n" ] } ], "source": [ "#!ffmpeg -r 5 -f image2 -i \".\\gal-margot--lerp-sdxlfull_body_photo_of_a_standing_woman_wearing_a_fuchsia_dress_in_a_bar\\output-2024_30_40--%4d.jpg\" -c:v libx264 -b:v 8M .\\gal-margot--lerp-sdxlfull_body_photo_of_a_standing_woman_wearing_a_fuchsia_dress_in_a_bar-output-2024_30_40.mp4\n", "!ffmpeg -r 5 -f image2 -i 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