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diffusers.utils import export_to_video\n", + "\n", + "pipe = DiffusionPipeline.from_pretrained(\"damo-vilab/text-to-video-ms-1.7b\", torch_dtype=torch.float16, variant=\"fp16\")\n", + "pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)\n", + "pipe.enable_model_cpu_offload()\n", + "\n", + "prompt = \"Spiderman is surfing\"\n", + "video_frames = pipe(prompt, num_inference_steps=25).frames\n", + "video_path = export_to_video(video_frames)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 566, + "referenced_widgets": [ + "136bda39ff2c443691780bb8327c38d9", + "7b3dbd6cea424eff909ef5201e721749", + "f30f98ce4b1741b5bd70387321636899", + "ff68ff1263da4d01b0371c31fe2bcff9", + "6712ed6a07c3456487583da55e83ec9b", + "4b83bafad85c450d81a7268f69a52959", + "3d37916e25e0406ab2cf2f82ac20680e", + "97f42b3ca37a4a9b8fec03cdd22d08a1", + "831ce98616f64ad89cd9b1bcd303611a", + "a36f062ddaad410f9a189275e5d062b9", + 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Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "0it [00:00, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "136bda39ff2c443691780bb8327c38d9" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading (…)ain/model_index.json: 0%| | 0.00/384 [00:00=0.13.2 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (0.17.3)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (1.23.5)\n", + "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (2023.6.3)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from diffusers==0.22.0.dev0) (2.31.0)\n", + 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(pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", + " Created wheel for diffusers: filename=diffusers-0.22.0.dev0-py3-none-any.whl size=1577253 sha256=635984df09685952bd7258282ec4895e6e6eea59c7b9bc2f38833975d882d6d8\n", + " Stored in directory: /tmp/pip-ephem-wheel-cache-6liykzd1/wheels/f7/7d/99/d361489e5762e3464b3811bc629e94cf5bf5ef44dd5c3c4d52\n", + "Successfully built diffusers\n", + "Installing collected packages: diffusers\n", + " Attempting uninstall: diffusers\n", + " Found existing installation: diffusers 0.21.4\n", + " Uninstalling diffusers-0.21.4:\n", + " Successfully uninstalled diffusers-0.21.4\n", + "Successfully installed diffusers-0.22.0.dev0\n" + ] + }, + { + "output_type": "display_data", + "data": { + "application/vnd.colab-display-data+json": { + "pip_warning": { + "packages": [ + "diffusers" + ] + } + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import torch\n", + "from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler\n", + "from diffusers.utils import export_to_video\n", + "\n", + "# load pipeline\n", + "pipe = DiffusionPipeline.from_pretrained(\"damo-vilab/text-to-video-ms-1.7b\", torch_dtype=torch.float16, variant=\"fp16\")\n", + "pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)\n", + "\n", + "# optimize for GPU memory\n", + "pipe.enable_model_cpu_offload()\n", + "pipe.enable_vae_slicing()\n", + "\n", + "# generate\n", + "prompt = \"Spiderman is surfing. Darth Vader is also surfing and following Spiderman\"\n", + "video_frames = pipe(prompt, num_inference_steps=25, num_frames=200).frames\n", + "\n", + "# convent to video\n", + "video_path = export_to_video(video_frames)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "b227303f147445d9a7d128b4c7c548a7", + "bd0943c656754c5a85f41de961f61720", + "796c7172549a48e8b3e2d7031c9e3179", + "be19d024310c4a94930cd1610111c13c", + "0d9ef40507344a7080a36bea83f275c3", + "2471bbf0d080458d915787eafefce623", + "e2a124d64cdd4de7812660f9bc351509", + "6d2cfe9dc79d4eeba3838f3ec0e786ac", + "6c4f529433154b74b42d136a03a8605f", + "6d8ab50d3bc04591ab87342801380884", + "4e51e06603a74575a2af089754a02bb3", + "12b6cbda9894459c8a16f8330a5af8ef", + "487ca1694cae4a389d306acf271e9508", + "2c51d929ab7d418d9f54d01d20942134", + "5eaac79e41024840a62cd065fda20316", + "bb539c3a44e542a1ad270e4396f570b8", + "ae2df9b0a4fb4c679573a12dc22d3fa8", + "eecb99c6abd448d38d250b9244265f4e", + "033e269ee5f94d7b990cdb5d3eb4013d", + "e890c5c4f03e4b5d89447bd4d182bfa6", + "d6839ccbd51343e395e29e6cd16857b2", + "2b8a81aafda241d98771ed9cac0f5a53" + ] + }, + "id": "eCOy-buYPfwg", + "outputId": "76847343-36a0-4988-9394-e7cbefbee90d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/5 [00:00View Video'\n", + "display(HTML(colab_sidebar_link))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 116, + "referenced_widgets": [ + "f6f8b538b8ca4a34972b43ba55996ecf", + "de4f47f2a0db4389995f056fecc96485", + "2600709be2144bc5819d898a7f8688e4", + "4b593be3adf643a0bc2fd3a83ad96053", + "5547be872cdd49eb90054ea2d8a1c248", + "d8dcb9b784ce4ea8a1ad2c1736eb5718", + "9382cb3fc94342df88ab6e88a7928562", + "786910b59599464e9389d596a3f4095e", + "dd399dc9f4be4db7a3fae04ffcdd7da2", + "f25398b4f32540d0bf2cdc0d554c6fe5", + "b8dac37976a043c68b8614f49c9b1cbc", + "6d72e6c5682e468dabf058a5820ae64f", + "4f45d1521cca4746b629751a14dcdc0b", + "d939c5d019334ce790500502c427b1f6", + "605b5c8b7cc34c0f9d94616ecdd3c483", + "1ced1c9403bf458b896958fe36ba37a0", + "7696596a4acd4f4f816f067553588038", + "1925b7f9ad874e6a821f9d94a8ead0a7", + "5f48249f5eb04f1d9941cf876e459741", + "59dbe4333cc4457e843fbe1e5b802a99", + "8857115f1afe4305954bb1f66af4b45d", + "f44ac90dcaf74dceb854645bc0458c87" + ] + }, + "id": "I5tGO-VipFck", + "outputId": "91840c8d-28ca-454a-9bcf-64a82daac365" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/5 [00:00" + ], + "text/html": [ + "View Video" + ] + }, + "metadata": {} + } + ] + } + ] +} \ No newline at end of file