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"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", + "execution_count": 5, + "metadata": { + "id": "2lLlNjwVDupR" + }, + "outputs": [], + "source": [ + "# !pip install diffusers\n", + "# !pip install accelerate" + ] + }, + { + "cell_type": "code", + "source": [ + "# doctor helping another patient" + ], + "metadata": { + "id": "_GKGxe1JPTlj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"doctor helping another patient\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"doctor helping another patient_1.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "da4cf95e63574f42a36bf880306a9754", + "49316168b61f453587360a393c2820fd", + "2479198afd09451fbcc4293c93d0d37b", + "354dd09319b24ce1ae939c946ef73977", + "023d372e572d4dd79fc758c8c4f6eeda", + "40a39be8dead4caf8513ae858f1820b9", + "e534b21e75a24ba8bc9710c2ce8c2178", + "617bc32502364d4ba81926b452803f77", + "ac11d814b09d4d5ba921df93e99f25f5", + "c97905699f2a4356986af6c5cf186293", + "04e3cf3324f34a638bf627241908ea13", + "492100c2843a485b91f4fe62cf74fc8b", + "5500f9c62cfb44a08632057e0f126869", + "f1c52853fd904b6a8f9be9c13625ff6a", + "089bded3c8b04ed7ad08ec58c8d6be83", + "a67516330d2f403b9539b0bc7eb79129", + "d2e5dca9a57f4d70bc00a73b30839910", + "3f3f23bed5f54626b7bcc165002ceb15", + "a1a892cd64784e7dab66c99607ee0069", + "7673b7594e474ef7ba4796d52e7037da", + "04257d7aa1084f7ab4e56c0f70476f12", + "95cc709e97e34837a1576f83700b9566" + ] + }, + "id": "FhVr5YJyEX8q", + "outputId": "4eddd6ae-d510-44d5-bb1b-5ad2cf2d3664" + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "da4cf95e63574f42a36bf880306a9754" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "492100c2843a485b91f4fe62cf74fc8b" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"doctor helping another patient\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"doctor helping another patient_2.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "e0971bd3082a469f9f6420f7be7c3e00", + "c10d9fcecd1d4527a7bbfd49fed04ceb", + "d120ca6cce4e43a89099907ac44a859b", + "f3fa0a7c3aef465dbf7e40cd451855fb", + "6024397d25b641b7a0077e4ace95ff0b", + "6c41081a2f484612aa04926c65ae63ae", + "4bd13a9070e74571aa2e4dbfe68a89e8", + "2845c367d72e472b99a6e872f3131552", + "9e16d7646ab243e683b3394d68e6f548", + "e9e246df1f2d4c149d057a14336f441b", + "d087dea4cd1b43f08675952f354f4baf", + "bda93d3095314bb0a5c1f05fd6baa4a6", + "5951dfe8e7a7499593bbe25eeebde673", + "7b2e9af5463a4a309357342497390ab6", + "d46174bd49bf4468a4463775754b11a4", + "5a972c0207fe4e1b992a116fddcc1a77", + "bb750c164d35478bbb33f64ec6d34200", + "3f36bee3963d47649685ee5636b74fbb", + "50bf186f1db645b0bbea1eb294f0b707", + "a0071a5cf8c6413481fb3a149e068bce", + "10be10a78ffb44a7996b54c25cf6964b", + "38a46dd9c78549ca9da61283d6d92a9d" + ] + }, + "id": "bq_USd4DMPSi", + "outputId": "7a5cf10a-6e2a-4540-d6bf-e7944791394d" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "e0971bd3082a469f9f6420f7be7c3e00" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "bda93d3095314bb0a5c1f05fd6baa4a6" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"doctor helping another patient\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"doctor helping another patient_3.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "2ee83a43ef3a4987a749e3fa6f99e0b6", + "9e6dd22d61cb49f9b3b5a7d780e04936", + "19be65a34d324fda900b7dd0cf867078", + "5708bad7a38e4a60bdbe77f17fd0872a", + "3080fc4b37864b60bd08acd0e3fc6ef0", + "9aadd7eb944b430d93de354c803e2165", + "54b2a48c701643dc94310cfe4d3cc4aa", + "091ea8811d95434889bfa79c4113e437", + "0ae9441437774e9da8d9a5b75f21bafe", + "af2bc77a6f5b46ee9468cecc9419fc3d", + "f954972569ab425698d24123bd833122", + "a41974e67a694cdc983bc9f52583eea9", + "0af9fda16f054ce09ff31a7d97cbb333", + "8f63c7602c414e229f2c1c7c15e03f8a", + "625319a027034a3c80c62a3e5ff2fa79", + "14ac6956af6e4a7b9776e4ff848f9673", + "a881475224184799a94620a7984efef9", + "a4badca47e934ce68a7d289cccac472d", + "b97af10550bb45ec8e0ab7b6ee8886b1", + "c5761bbfa875437c9cd2711b67af1256", + "e12e75339b964fbbbca1c458663556ce", + "19ea554f556046f39eb91f9cc2c30f1d" + ] + }, + "id": "KqvhVcicMP-A", + "outputId": "cb2876d0-fab0-4f6b-b426-bd0bd672ec15" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "2ee83a43ef3a4987a749e3fa6f99e0b6" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "a41974e67a694cdc983bc9f52583eea9" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# nurses utilizing medical ai at the hospital" + ], + "metadata": { + "id": "0YVlizsgMQ07" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"nurses utilizing medical ai at the hospital\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"nurses utilizing medical ai at the hospital_1.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "787bd0a1d2344ce2a557988965781333", + "b3b60339a4ff4c03a7e2199879e0ba17", + "7864e57d080e4f2985d4a53a0689ade6", + "54ee15ce32aa4e028900a447ab9803ed", + "56ff302df4bb484b97e0bf3a6c6ea4c3", + "020710595d2c4a4eb39505e14ed64eec", + "41e7d4867ff246e5a743a32e4c461f1c", + "00e29121d572451cbecbaf76a087745f", + "6a84b54bb66d46e1abc5b71e3bc969ed", + "5c1971b5e118426a87bdeecd2ec69d10", + "12167e087bf34adcbd50a3618012505e", + "f261a6e88b2b4ceaa9d3414aaf69ff00", + "c23889605fbe4f94b753537fa1047807", + "aa451edac29649c09348ad7e5baf45c8", + "84aa0fd010a34c10bafb48e2afadc037", + "32d68b3c753141b2948b25f8b446e9fc", + "0bcd73e0fdf443c0aebdb28a95004682", + "6d08049c3b22489abc6e9b56878ac79b", + "37e337609d034546aaafbbb4893046a0", + "811d98defef34a18a1819145bffc04bd", + "deacdc309b2c4a04b337978911a87428", + "64a9f4144a1b4ed9bc839505b945e426" + ] + }, + "id": "lT5OJoJwMRR-", + "outputId": "9b50a5d3-07a1-4dd0-83b4-e1d04e4d4013" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "787bd0a1d2344ce2a557988965781333" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "f261a6e88b2b4ceaa9d3414aaf69ff00" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"nurses utilizing medical ai at the hospital\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"nurses utilizing medical ai at the hospital_2.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "2e56f2996b7a4d8e9240dac6c23e6bf7", + "7a5e8fd2a4d24cb88bf774480479c529", + "80c35eae1ffb4273b4b9d7e95479dbe3", + "272668cb916946d297c8905cbc43b185", + "8074360be4fb4221a5174b2130897a4b", + "0387e8ce444b4c63b3ce04887d89db2e", + "e81c2e1925114d1e996ffd53ac764d38", + "be18cd80148949f18451bdbb115c074a", + "d4d21d26bc5541e18c2c2cd29e833348", + "2c6f1e471b0d4b6d830fa3d64e19bfdc", + "26da3a8c92df4c6cbb62362bf35cc043", + "161f39f22a27480ab41770bc13d4ef28", + "406eba4966b84252ba63d08abbb65aaa", + "ee1a77702f124956bb570f74d9779b5a", + "7ee721df25f145faaa0197682c1de669", + "8f710adfbc4b4985970e4821c72cf2b9", + "77ab9e07fe60481f8878e581a7b81e92", + "53cf808fbac24af3915cd8d0598dc692", + "6b0d70946e4f4799822304710f638122", + "b38e8851f2534e0abad2eaa995b02775", + "cef7a5f37362475b827ac3ef7da74e01", + "962946856ed44b4ab0c9a4f9adb93507" + ] + }, + "id": "3-eyMmFFMRca", + "outputId": "5c77163c-7fbb-4f20-ac8f-b1c6a6e1ff00" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "2e56f2996b7a4d8e9240dac6c23e6bf7" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "161f39f22a27480ab41770bc13d4ef28" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"nurses utilizing medical ai at the hospital\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"nurses utilizing medical ai at the hospital_3.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "27493f54a44d4d9cad9ef751cbc1e3ba", + "605c5dec0b9d4aa3af20b472e50c2051", + "05ccd5196a6640a7ab05744df911f3f0", + "1f9bb0deed4f4a1a9ce654425b0db46d", + "3de4f14a81f948de9e29c2374e3a9aa9", + "477b9f09a9cf4997a418beb15fb788f9", + "e1bfc25b73374752a42c213a31425040", + "aa6d750b2ad7418988806c541a68b2e2", + "af2a15a43b7a495eb97baad4a5b81ede", + "9277cdcffe1e44a9b106a40b41918ba9", + "3290143522a14e2da8580287da2e6449", + "6d98c2f3a30c42b58ff98dfb2688ac90", + "b5d720cdd2e041da8575a01516041ea4", + "c0f943a9dfaa43f7bc1391a05a35587e", + "d9877e22da294f3e89930831db3f033a", + "56350e9118b04cf99083547a6fe00343", + "fd2630e32c6f4f1b9d2d8052143f7c64", + "bdd8dedd8b564e72b021ba46adacf64e", + "25df494fd79f428d8e3d4b613ba4853c", + "981129a1220b4223b9bf28ec1699b5f2", + "9282a30bb28b468499356f94d67567a9", + "d8db627f6f1541e38eaf9dfbe73e55f7" + ] + }, + "id": "WEXG6koVMRmh", + "outputId": "65af5478-2f83-4f5d-f1e7-1c00fc6ad194" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "27493f54a44d4d9cad9ef751cbc1e3ba" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "6d98c2f3a30c42b58ff98dfb2688ac90" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# hospital staff using generative ai in safe and effective ways" + ], + "metadata": { + "id": "IjNrgMG6MRws" + }, + "execution_count": 15, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"hospital staff using generative ai in safe and effective ways\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"hospital staff using generative ai in safe and effective ways_1.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "f6c2033b634349d49b372566664928d5", + "be2294c28fda4080b1a720d97318f619", + "0c89555855294e85b3a168919c9c82a2", + "52984b05faf944c48febb46d2c8c60ea", + "0f56aaf38445475fbccb712f037dd894", + "89bc1a26298c43d9b8e028522296c337", + "be12a9d1819e4ff89b12effafc3e1765", + "e8a1b7965ff849dbbfd8d5ed71bcbc39", + "2fd9cbd171c346f89a047b2915f3ca84", + "2c4f698db093407a9372af2870f95ced", + "844ee3b707344bddb48dce916540e16e", + "0d3d53d9c1be4465a485f704215a6f92", + "5eb034cec36a46aa9fe8ed673cdcad66", + "b5fc245e85ad46df8fdd94e47e177b51", + "5e350fb204934d31b337f6d4775edd18", + "9e513cde54c74c01a763eabc9fea7153", + "12fef4b5cbb14cbe9e8b4e55462bbc83", + "0c656497b43f44659522187790eb6a4c", + "bb5fc3ce8af6439abb07771f6fa03f8a", + "3df38a05c7e34e4d968f0342134eaf29", + "d5a1980553824331934df218de8f74e0", + "fdae223b5a45428e83c10a8e3bb1a561" + ] + }, + "id": "wf0GrEZgMR7U", + "outputId": "e8d3a307-32cb-4fb2-dc17-6a8d8a70c57b" + }, + "execution_count": 18, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "f6c2033b634349d49b372566664928d5" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "0d3d53d9c1be4465a485f704215a6f92" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"hospital staff using generative ai in safe and effective ways\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"hospital staff using generative ai in safe and effective ways_2.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "e47bc7d5085649ff8792ae1b9712355b", + "ed411faa1c59493987965ea3633f3ff4", + "2d601149267e4acdb31587f054d35101", + "f4de9cce82f845049f020e9a153aeb57", + "97794969185b46d0b9b9e8408bf1b3ad", + "fd246a5fbdea4cd5a07cbcdd82e94d0a", + "247fc237675a48c3928ae163e00a7779", + "4867e7cecb3e45ef9612900ca25e0f75", + "d446df674a1d451599851009d42c11e7", + "2a4f2b4b0aa742778e144e39a09273b0", + "1ec846045f5d4c7589b5a5173f0d2e66", + "aadf05d217984873a70334a8856cc665", + "2e3eb7052ad44b36a27e7635d990902a", + "991c24ba42514b8aa293e273c17fb7ee", + "42a73de2f3f74395a568e9f70dae7c85", + "4bb4c8e3a1554d97a5d89f6543825df3", + "a57ea48aaaf740d5980d22194fb34c20", + "d3dff3c2f51344759e502481b469435b", + "f06ac9db90e04a4fb9af08f99e224b2e", + "82a8d928f5d14b5bb1615ff61519812e", + "4baa9b0bce6444de81b96edb531177f4", + "8eae2e216f1d49279d398dcc848f64e6" + ] + }, + "id": "mD2PK7urMSFf", + "outputId": "36560b2a-7c63-4187-c202-b33dcd4cbca6" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "e47bc7d5085649ff8792ae1b9712355b" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "aadf05d217984873a70334a8856cc665" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from diffusers import StableDiffusionPipeline\n", + "import torch\n", + "\n", + "model_id = \"runwayml/stable-diffusion-v1-5\"\n", + "pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)\n", + "pipe = pipe.to(\"cuda\")\n", + "\n", + "prompt = \"hospital staff using generative ai in safe and effective ways\"\n", + "image = pipe(prompt).images[0]\n", + "\n", + "image.save(\"hospital staff using generative ai in safe and effective ways_3.png\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81, + "referenced_widgets": [ + "b979e2c8706547eb90b03be9ec46c0fc", + "53359f6b067c413ab9a7a442a24e4564", + "5f2d70f458ac4711af422f4e71ec9565", + "923ee0b1db09476a9efe37096daf67c1", + "cad59d7ab1d74326bba26246297b1f05", + "d759c8bb391c4ea1beead57a6b505b5c", + "3590734fbe1a4326a767acae33fa2a41", + "4e27975ec4264f9ebcc9c4c7a837c4f0", + "e1ac1899776f484587ae73761bed24b9", + "16e0cea5564a47a0b07512a77e1359d3", + "9c7c9d6b78184d66b3a90482361c15f9", + "6bb49ef38c354b49a43d78921d44f121", + "ddda175d47bd489697f8c1471da21e70", + "ad64432f401740b2878a0f518c0b11dc", + "1f72418969f64c54b80e5f8c0d1f57e3", + "82f8c4fdec134c2c889812f0ff284dab", + "6afa93ddaa884b3892078bdaaa662442", + "0b55a745c8514e5abbe3392c16fbca89", + "14aa24bddf7445e785f336d04ce33658", + "e637264a8c5b4257af904565a38609d6", + "42b91b1c58b346428d263d10007cda15", + "e9138d3c3b8d497e9d9394110e4085f1" + ] + }, + "id": "-W49D-VeMSPn", + "outputId": "d685aec0-ba5f-4c07-e6ac-96af79c256e1" + }, + "execution_count": 20, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Loading pipeline components...: 0%| | 0/7 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "b979e2c8706547eb90b03be9ec46c0fc" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + " 0%| | 0/50 [00:00<?, ?it/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "6bb49ef38c354b49a43d78921d44f121" + } + }, + "metadata": {} + } + ] + } + ] +} \ No newline at end of file