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|||
|
|
"overflow_x": null,
|
|||
|
|
"overflow_y": null,
|
|||
|
|
"padding": null,
|
|||
|
|
"right": null,
|
|||
|
|
"top": null,
|
|||
|
|
"visibility": null,
|
|||
|
|
"width": null
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"5d47c099526e4c60adedf7a43bf35efc": {
|
|||
|
|
"model_module": "@jupyter-widgets/controls",
|
|||
|
|
"model_name": "DescriptionStyleModel",
|
|||
|
|
"model_module_version": "1.5.0",
|
|||
|
|
"state": {
|
|||
|
|
"_model_module": "@jupyter-widgets/controls",
|
|||
|
|
"_model_module_version": "1.5.0",
|
|||
|
|
"_model_name": "DescriptionStyleModel",
|
|||
|
|
"_view_count": null,
|
|||
|
|
"_view_module": "@jupyter-widgets/base",
|
|||
|
|
"_view_module_version": "1.2.0",
|
|||
|
|
"_view_name": "StyleView",
|
|||
|
|
"description_width": ""
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"cells": [
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"source": [
|
|||
|
|
"#@markdown # **Latent Blending Repository Download**\n",
|
|||
|
|
"#@markdown ----\n",
|
|||
|
|
"!git clone https://github.com/lunarring/latentblending.git\n",
|
|||
|
|
"%cd latentblending"
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/"
|
|||
|
|
},
|
|||
|
|
"id": "xOrehLq4KX8y",
|
|||
|
|
"outputId": "4148ea80-f815-4aeb-95ec-f4737599b895"
|
|||
|
|
},
|
|||
|
|
"execution_count": null,
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stdout",
|
|||
|
|
"text": [
|
|||
|
|
"/content/latentblending\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"source": [
|
|||
|
|
"#@markdown # **Install Dependencies**\n",
|
|||
|
|
"#@markdown ----\n",
|
|||
|
|
"!pip install -r requirements.txt --quiet\n",
|
|||
|
|
"!pip install -e . --quiet"
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"id": "kolPBQsBPs01"
|
|||
|
|
},
|
|||
|
|
"execution_count": null,
|
|||
|
|
"outputs": []
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"source": [
|
|||
|
|
"#@markdown # **Checkpoint Downloader**\n",
|
|||
|
|
"#@markdown ----\n",
|
|||
|
|
"model_download='https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-pruned.ckpt' #@param {type:\"string\"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"!wget $model_download"
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"id": "nFRa2Db3MSPD"
|
|||
|
|
},
|
|||
|
|
"execution_count": null,
|
|||
|
|
"outputs": []
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 153,
|
|||
|
|
"referenced_widgets": [
|
|||
|
|
"06b88ddd7a7f4f219d5143d558445a59",
|
|||
|
|
"2336c0a991d54ae0b72e442f8c3bc067",
|
|||
|
|
"d723ed8d752a44a08f34ad381868953c",
|
|||
|
|
"a69dab4944924df09bd4530b1fada113",
|
|||
|
|
"7dd38b2a3c284e2f8f625518dbb04997",
|
|||
|
|
"e6b528ece6e1408789d9e4068899ebed",
|
|||
|
|
"dc06126b67ff41938640057d9d78256a",
|
|||
|
|
"04fc6526cff845edb45ed39294a71df6",
|
|||
|
|
"3d8dc5a7af6144c29bfda78080ed83a4",
|
|||
|
|
"aaa1e7f1ce32409982c2d8746c234083",
|
|||
|
|
"1ca4f73e2a5d4954b03844c18d0b4db4"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"id": "li_jnabWKRIs",
|
|||
|
|
"outputId": "056d0c2a-8341-4c01-8558-2f2435511138"
|
|||
|
|
},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stdout",
|
|||
|
|
"text": [
|
|||
|
|
"LatentDiffusion: Running in v-prediction mode\n",
|
|||
|
|
"DiffusionWrapper has 865.91 M params.\n",
|
|||
|
|
"making attention of type 'vanilla' with 512 in_channels\n",
|
|||
|
|
"Working with z of shape (1, 4, 32, 32) = 4096 dimensions.\n",
|
|||
|
|
"making attention of type 'vanilla' with 512 in_channels\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "display_data",
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"Downloading: 0%| | 0.00/3.94G [00:00<?, ?B/s]"
|
|||
|
|
],
|
|||
|
|
"application/vnd.jupyter.widget-view+json": {
|
|||
|
|
"version_major": 2,
|
|||
|
|
"version_minor": 0,
|
|||
|
|
"model_id": "06b88ddd7a7f4f219d5143d558445a59"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"metadata": {}
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stdout",
|
|||
|
|
"text": [
|
|||
|
|
"autosetup_branching: num_inference_steps: 15 list_nmb_branches: [2, 3, 6] list_injection_idx: [0, 9, 12]\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"import os, sys\n",
|
|||
|
|
"import torch\n",
|
|||
|
|
"torch.backends.cudnn.benchmark = False\n",
|
|||
|
|
"import numpy as np\n",
|
|||
|
|
"import warnings\n",
|
|||
|
|
"warnings.filterwarnings('ignore')\n",
|
|||
|
|
"import warnings\n",
|
|||
|
|
"import torch\n",
|
|||
|
|
"from tqdm.auto import tqdm\n",
|
|||
|
|
"from PIL import Image\n",
|
|||
|
|
"# import matplotlib.pyplot as plt\n",
|
|||
|
|
"import torch\n",
|
|||
|
|
"from movie_util import MovieSaver\n",
|
|||
|
|
"from typing import Callable, List, Optional, Union\n",
|
|||
|
|
"from latent_blending import LatentBlending, add_frames_linear_interp\n",
|
|||
|
|
"from stable_diffusion_holder import StableDiffusionHolder\n",
|
|||
|
|
"import os\n",
|
|||
|
|
"from tqdm import tqdm\n",
|
|||
|
|
"from IPython.display import HTML\n",
|
|||
|
|
"from base64 import b64encode\n",
|
|||
|
|
"import gc\n",
|
|||
|
|
"import torch\n",
|
|||
|
|
"\n",
|
|||
|
|
"torch.set_grad_enabled(False)\n",
|
|||
|
|
"gc.collect()\n",
|
|||
|
|
"torch.cuda.empty_cache()\n",
|
|||
|
|
"\n",
|
|||
|
|
"#@markdown # **Checkpoint Configuration**\n",
|
|||
|
|
"#@markdown ----\n",
|
|||
|
|
"\n",
|
|||
|
|
"fp_ckpt = '/content/latentblending/v2-1_768-ema-pruned.ckpt' #@param {type:\"string\"} \n",
|
|||
|
|
"fp_config = '/content/latentblending/configs/v2-inference-v.yaml' #@param {type:\"string\"} \n",
|
|||
|
|
"\n",
|
|||
|
|
"sdh = StableDiffusionHolder(fp_ckpt=fp_ckpt, fp_config=fp_config) \n",
|
|||
|
|
"lb = LatentBlending(sdh)\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"source": [
|
|||
|
|
"#@markdown # **Parameter Configuration**\n",
|
|||
|
|
"#@markdown ----\n",
|
|||
|
|
"quality = 'low' #@param {type:\"string\"}\n",
|
|||
|
|
"depth_strength = 0.6 #@param {type:\"number\"}\n",
|
|||
|
|
"seed1 = 235235235 #@param {type:\"number\"}\n",
|
|||
|
|
"seed2 = 23423526 #@param {type:\"number\"}\n",
|
|||
|
|
"fixed_seeds = [seed1, seed2] \n",
|
|||
|
|
"\n",
|
|||
|
|
"prompt1 = \"a beautiful painting of a cyberpunk city by sergey kolesov and pascal blanche and greg rutkowski and sachin teng. in style of digital art. colorful comic, symmetry, hyper detailed. octane render. trending on artstation \" #@param {type:\"string\"} \n",
|
|||
|
|
"\n",
|
|||
|
|
"prompt2 = \"a beautiful portrait painting of a cyberpunk armor by simon stalenhag and pascal blanche and alphonse mucha and nekro. in style of digital art. colorful comic, film noirs, symmetry, brush stroke, vibrating colors, hyper detailed. octane render. trending on artstation \" #@param {type:\"string\"} \n",
|
|||
|
|
"\n",
|
|||
|
|
"# In seconds\n",
|
|||
|
|
"duration_transition = 12 #@param {type:\"number\"} \n",
|
|||
|
|
" \n",
|
|||
|
|
"fps = 30 #@param {type:\"number\"}\n",
|
|||
|
|
"\n",
|
|||
|
|
"lb.load_branching_profile(quality=quality, depth_strength=depth_strength)\n",
|
|||
|
|
"lb.set_prompt1(prompt1)\n",
|
|||
|
|
"lb.set_prompt2(prompt2)\n",
|
|||
|
|
"\n",
|
|||
|
|
"imgs_transition = lb.run_transition(fixed_seeds=fixed_seeds)\n",
|
|||
|
|
"\n",
|
|||
|
|
"imgs_transition_ext = add_frames_linear_interp(imgs_transition, duration_transition, fps)\n",
|
|||
|
|
"\n",
|
|||
|
|
"# Save as MP4\n",
|
|||
|
|
"fp_movie = \"movie_example1.mp4\"\n",
|
|||
|
|
"if os.path.isfile(fp_movie):\n",
|
|||
|
|
" os.remove(fp_movie)\n",
|
|||
|
|
"ms = MovieSaver(fp_movie, fps=fps, shape_hw=[sdh.height, sdh.width])\n",
|
|||
|
|
"for img in tqdm(imgs_transition_ext):\n",
|
|||
|
|
" ms.write_frame(img)\n",
|
|||
|
|
"ms.finalize()\n",
|
|||
|
|
"\n",
|
|||
|
|
"def visualize_video_colab(video_path):\n",
|
|||
|
|
" mp4 = open(video_path,'rb').read()\n",
|
|||
|
|
" data_url = \"data:video/mp4;base64,\" + b64encode(mp4).decode()\n",
|
|||
|
|
" return HTML(\"\"\"\n",
|
|||
|
|
" <video width=400 controls>\n",
|
|||
|
|
" <source src=\"%s\" type=\"video/mp4\">\n",
|
|||
|
|
" </video>\n",
|
|||
|
|
" \"\"\" % data_url)\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"\n",
|
|||
|
|
"visualize_video_colab(fp_movie)\n",
|
|||
|
|
"\n"
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 557,
|
|||
|
|
"referenced_widgets": [
|
|||
|
|
"4d23377adc3b4ea4a1d713f832ea1f58",
|
|||
|
|
"7aba7fbd76134c8b8fc18a16a492df56",
|
|||
|
|
"d69c1b35735d452c9691ef53a240ea91",
|
|||
|
|
"dc0c1075746946189a4af37e0bdbee93",
|
|||
|
|
"3b1b50d04a5e4c629687def09ab84cb8",
|
|||
|
|
"48dd7695d798418da65858cd623310af",
|
|||
|
|
"07182046b1ba48deba029ebe6e3ef220",
|
|||
|
|
"aad1cb753ffd4abfa21db47798410820",
|
|||
|
|
"478e72ecc1ac43e9a91b4b0e6c0242af",
|
|||
|
|
"ce729b0d535142df9c7265c32fc4bc3b",
|
|||
|
|
"5d47c099526e4c60adedf7a43bf35efc"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"id": "5QuVVl2-0xAh",
|
|||
|
|
"outputId": "afd08806-35ac-4126-92a3-bf3a185056c2"
|
|||
|
|
},
|
|||
|
|
"execution_count": null,
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stdout",
|
|||
|
|
"text": [
|
|||
|
|
"autosetup_branching: num_inference_steps: 15 list_nmb_branches: [2, 3, 6] list_injection_idx: [0, 9, 12]\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "display_data",
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"computing transition: 0%| | 0/11 [00:00<?, ?it/s]"
|
|||
|
|
],
|
|||
|
|
"application/vnd.jupyter.widget-view+json": {
|
|||
|
|
"version_major": 2,
|
|||
|
|
"version_minor": 0,
|
|||
|
|
"model_id": "4d23377adc3b4ea4a1d713f832ea1f58"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"metadata": {}
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stdout",
|
|||
|
|
"text": [
|
|||
|
|
"Initialization done. Movie shape: (768, 768, 3)\n",
|
|||
|
|
"MovieSaver initialized. fps=30 crf=24 pix_fmt=yuv420p codec=libx264 preset=fast\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stderr",
|
|||
|
|
"text": [
|
|||
|
|
"100%|██████████| 360/360 [00:04<00:00, 83.42it/s]\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"name": "stdout",
|
|||
|
|
"text": [
|
|||
|
|
"Movie saved, 12s playtime, watch here: \n",
|
|||
|
|
"movie_example1.mp4\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"output_type": "execute_result",
|
|||
|
|
"data": {
|
|||
|
|
"text/plain": [
|
|||
|
|
"<IPython.core.display.HTML object>"
|
|||
|
|
],
|
|||
|
|
"text/html": [
|
|||
|
|
"\n",
|
|||
|
|
" <video width=400 controls>\n",
|
|||
|
|
" <source src=\"data:video/mp4;base64,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
|
|||
|
|
" </video>\n",
|
|||
|
|
" "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"execution_count": 15
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
}
|