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"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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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 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