{"id":5500,"date":"2025-04-08T14:16:04","date_gmt":"2025-04-08T05:16:04","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=5500"},"modified":"2025-04-08T14:16:04","modified_gmt":"2025-04-08T05:16:04","slug":"amazon-nova-reel-1-1-that-includes-as-much-as-2-minutes-multi-shot-movies","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=5500","title":{"rendered":"Amazon Nova Reel 1.1: That includes as much as 2-minutes multi-shot movies"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div id=\"\">\n<table id=\"amazon-polly-audio-table\">\n<tbody>\n<tr>\n<td id=\"amazon-polly-audio-tab\">\n<div id=\"amazon-polly-by-tab\">\n            <a href=\"https:\/\/aws.amazon.com\/polly\/\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/a0.awsstatic.com\/aws-blog\/images\/Voiced_by_Amazon_Polly_EN.png\" alt=\"Voiced by Polly\" width=\"554\" height=\"56\"\/><\/a>\n           <\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>At re:Invent 2024, we <a href=\"https:\/\/aws.amazon.com\/blogs\/aws\/introducing-amazon-nova-frontier-intelligence-and-industry-leading-price-performance\/\" target=\"_blank\" rel=\"noopener\">introduced Amazon Nova fashions<\/a>, a brand new era of <a href=\"https:\/\/aws.amazon.com\/what-is\/foundation-models\/\" target=\"_blank\" rel=\"noopener\">basis fashions (FMs),<\/a> together with <a href=\"https:\/\/docs.aws.amazon.com\/ai\/responsible-ai\/nova-reel\/overview.html\" target=\"_blank\" rel=\"noopener\">Amazon Nova Reel<\/a>, a video era mannequin that creates quick movies from textual content descriptions and non-obligatory reference photographs (collectively, the \u201cimmediate\u201d).<\/p>\n<p>At this time, we introduce <a href=\"https:\/\/docs.aws.amazon.com\/ai\/responsible-ai\/nova-reel\/overview.html\" target=\"_blank\" rel=\"noopener\">Amazon Nova Reel 1.1<\/a>, which gives high quality and latency enhancements in 6-second single-shot video era, in comparison with Amazon Nova Reel 1.0. This replace allows you to generate multi-shot movies as much as 2-minutes in size with constant model throughout pictures. You&#8217;ll be able to both present a single immediate for as much as a 2-minute video composed of 6-second pictures, or design every shot individually with customized prompts. This provides you new methods to create video content material by <a href=\"https:\/\/aws.amazon.com\/es\/bedrock\/?trk=fccf147c-636d-45bf-bf0a-7ab087d5691a&amp;sc_channel=el\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock<\/a>.<\/p>\n<p>Amazon Nova Reel enhances inventive productiveness, whereas serving to to scale back the time and value of video manufacturing utilizing <a href=\"https:\/\/aws.amazon.com\/ai\/generative-ai\/?trk=fccf147c-636d-45bf-bf0a-7ab087d5691a&amp;sc_channel=el\" target=\"_blank\" rel=\"noopener\">generative AI<\/a>. You need to use Amazon Nova Reel to create compelling movies in your advertising and marketing campaigns, product designs, and social media content material with elevated effectivity and artistic management. For instance, in promoting campaigns, you possibly can produce high-quality video commercials with constant visuals and timing utilizing pure language.<\/p>\n<p><iframe loading=\"lazy\" title=\"Introducing Amazon Nova Reel 1.1 | Amazon Web Services\" width=\"641\" height=\"361\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/OvuwL0A518A?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\" sandbox=\"allow-scripts allow-same-origin\"><\/iframe><\/p>\n<p><strong><u>To get began with Amazon Nova Reel 1.1\u00a0<\/u><\/strong><br \/>In case you\u2019re new to utilizing <a href=\"https:\/\/aws.amazon.com\/ai\/generative-ai\/nova\/creative\/\" target=\"_blank\" rel=\"noopener\">Amazon Nova Reel fashions<\/a>, go to the <a href=\"https:\/\/console.aws.amazon.com\/bedrock\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock console<\/a>, select <strong>Mannequin entry<\/strong> within the navigation panel and request entry to the <strong>Amazon Nova Reel<\/strong> mannequin. If you get entry to Amazon Nova Reel, it applies each to 1.0 and 1.1.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-large wp-image-94996\" style=\"border: 1px black solid;\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/da4b9237bacccdf19c0760cab7aec4a8359010b0\/2025\/04\/07\/2025-nova-reel-1.1-access-1024x645.png\" alt=\"\" width=\"1024\" height=\"645\"><\/p>\n<p>After gaining entry, you possibly can attempt <strong>Amazon<\/strong> <strong>Nova Reel 1.1<\/strong> straight from the <a href=\"https:\/\/console.aws.amazon.com\/bedrock\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock console<\/a>, AWS SDK, or <a href=\"https:\/\/aws.amazon.com\/cli\/?trk=fccf147c-636d-45bf-bf0a-7ab087d5691a&amp;sc_channel=el\" target=\"_blank\" rel=\"noopener\">AWS Command Line Interface (AWS CLI)<\/a>.<\/p>\n<p>To check the <strong>Amazon Nova Reel 1.1<\/strong> mannequin within the console, select <strong>Picture\/Video<\/strong> beneath <strong>Playgrounds<\/strong> within the left menu pane. Then select <strong>Nova Reel 1.1<\/strong> because the mannequin and enter your immediate to generate video.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-large wp-image-94999\" style=\"border: 1px black solid;\" src=\"https:\/\/d2908q01vomqb2.cloudfront.net\/da4b9237bacccdf19c0760cab7aec4a8359010b0\/2025\/04\/07\/2025-nova-reel-1.1-playground-1024x553.png\" alt=\"\" width=\"1024\" height=\"553\"><\/p>\n<p>Amazon Nova Reel 1.1 presents two modes:<\/p>\n<ul>\n<li><strong>Multishot Automated \u2013 <\/strong>On this mode, Amazon Nova Reel 1.1 accepts a single immediate of as much as 4,000 characters and produces a multi-shot video that displays that immediate. This mode doesn\u2019t settle for an enter picture.<\/li>\n<li><strong><strong><strong>Multishot Handbook \u2013 <\/strong><\/strong><\/strong>For many who want extra direct management over a video\u2019s shot composition, with handbook mode (additionally known as storyboard mode), you possibly can specify a novel immediate for every particular person shot. This mode does settle for an non-obligatory beginning picture for every shot. Photos should have a decision of 1280\u00d7720. You&#8217;ll be able to present photographs in base64 format or from an <a href=\"https:\/\/aws.amazon.com\/s3\/\" target=\"_blank\" rel=\"noopener\">Amazon Easy Storage Service (Amazon S3)<\/a> location.<\/li>\n<\/ul>\n<p>For this demo, I take advantage of the <a href=\"https:\/\/aws.amazon.com\/sdk-for-python\/\" target=\"_blank\" rel=\"noopener\">AWS SDK for Python (Boto3)<\/a> to invoke the mannequin utilizing the <a href=\"https:\/\/docs.aws.amazon.com\/bedrock\/latest\/userguide\/bedrock-runtime_example_bedrock-runtime_Scenario_AmazonNova_TextToVideo_section.html\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock API<\/a> and <a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/video-gen-access.html#video-gen-start-a-job\" target=\"_blank\" rel=\"noopener\">StartAsyncInvoke operation<\/a> to begin an asynchronous invocation and generate the video. I used <a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/video-gen-access.html#video-gen-check-progress\" target=\"_blank\" rel=\"noopener\">GetAsyncInvoke<\/a> to verify on the progress of a video era job.<\/p>\n<p>This Python script creates a 120-second video utilizing <code>MULTI_SHOT_AUTOMATED<\/code><strong>\u00a0<\/strong>mode as <a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/video-gen-access.html#video-gen-input-params\" target=\"_blank\" rel=\"noopener\">TaskType parameter<\/a> from this textual content immediate, created by <a href=\"https:\/\/www.linkedin.com\/in\/nitinbeusebius\/\" target=\"_blank\" rel=\"noopener\">Nitin Eusebius<\/a>.<\/p>\n<pre><code class=\"lang-python\">import random\nimport time\n\nimport boto3\n\nAWS_REGION = \"us-east-1\"\nMODEL_ID = \"amazon.nova-reel-v1:1\"\nSLEEP_SECONDS = 15  # Interval at which to verify video gen progress\nS3_DESTINATION_BUCKET = \"s3:\/\/&lt;your bucket right here&gt;\"\n\nvideo_prompt_automated = \"Norwegian fjord with nonetheless water reflecting mountains in good symmetry. Uninhabited wilderness of Big sequoia forest with daylight filtering between huge trunks. Sahara desert sand dunes with good ripple patterns. Alpine lake with crystal clear water and mountain reflection. Historical redwood tree with detailed bark texture. Arctic ice cave with blue ice partitions and ceiling. Bioluminescent plankton on seaside shore at evening. Bolivian salt flats with good sky reflection. Bamboo forest with tall stalks in filtered mild. Cherry blossom grove towards blue sky. Lavender discipline with purple rows to horizon. Autumn forest with pink and gold leaves. Tropical coral reef with fish and colourful coral. Antelope Canyon with mild beams by slender passages. Banff lake with turquoise water and mountain backdrop. Joshua Tree desert at sundown with silhouetted bushes. Iceland moss- coated lava discipline. Amazon lily pads with good symmetry. Hawaiian volcanic panorama with lava rock. New Zealand glowworm cave with blue ceiling lights. 8K nature pictures, skilled panorama lighting, no motion transitions, good publicity for every surroundings, pure coloration grading\"\n\nbedrock_runtime = boto3.consumer(\"bedrock-runtime\", region_name=AWS_REGION)\nmodel_input = {\n    \"taskType\": \"MULTI_SHOT_AUTOMATED\",\n    \"multiShotAutomatedParams\": {\"textual content\": video_prompt_automated},\n    \"videoGenerationConfig\": {\n        \"durationSeconds\": 120,  # Have to be a a number of of 6 in vary [12, 120]\n        \"fps\": 24,\n        \"dimension\": \"1280x720\",\n        \"seed\": random.randint(0, 2147483648),\n    },\n}\n\ninvocation = bedrock_runtime.start_async_invoke(\n    modelId=MODEL_ID,\n    modelInput=model_input,\n    outputDataConfig={\"s3OutputDataConfig\": {\"s3Uri\": S3_DESTINATION_BUCKET}},\n)\n\ninvocation_arn = invocation[\"invocationArn\"]\njob_id = invocation_arn.cut up(\"\/\")[-1]\ns3_location = f\"{S3_DESTINATION_BUCKET}\/{job_id}\"\nprint(f\"nMonitoring job folder: {s3_location}\")\n\nwhereas True:\n    response = bedrock_runtime.get_async_invoke(invocationArn=invocation_arn)\n    standing = response[\"status\"]\n    print(f\"Standing: {standing}\")\n    if standing != \"InProgress\":\n        break\n    time.sleep(SLEEP_SECONDS)\n\nif standing == \"Accomplished\":\n    print(f\"nVideo is prepared at {s3_location}\/output.mp4\")\nelse:\n    print(f\"nVideo era standing: {standing}\")\n<\/code><code class=\"lang-python\">\n<\/code><\/pre>\n<p>After the primary invocation, the script periodically checks the standing till the creation of the video has been accomplished. I cross a random seed to get a unique consequence every time the code runs.<\/p>\n<p>I run the script:<\/p>\n<pre><code class=\"lang-bash\">Standing: InProgress\n. . .\nStanding: Accomplished\nVideo is prepared at s3:\/\/&lt;your bucket right here&gt;\/&lt;job_id&gt;\/output.mp4\n<\/code><\/pre>\n<p>After a couple of minutes, the script is accomplished and prints the output Amazon S3 location. I obtain the output video utilizing the AWS CLI:<\/p>\n<pre><code>aws s3 cp s3:\/\/&lt;your bucket right here&gt;\/&lt;job_id&gt;\/output.mp4 output_automated.mp4<\/code><\/pre>\n<p>That is the video that this immediate generated:<\/p>\n<p>Within the case of <code>MULTI_SHOT_MANUAL<\/code> mode as TaskType parameter, with a immediate for multiples pictures and an outline for every shot, it isn&#8217;t mandatory so as to add the variable <code>durationSeconds.<\/code><\/p>\n<p>Utilizing the immediate for multiples pictures, created by Sanju Sunny.<\/p>\n<p>I run Python script:<\/p>\n<pre><code class=\"lang-python\">import random\nimport time\n\nimport boto3\n\n\ndef image_to_base64(image_path: str):\n    \"\"\"\n    Helper perform which converts a picture file to a base64 encoded string.\n    \"\"\"\n    import base64\n\n    with open(image_path, \"rb\") as image_file:\n        encoded_string = base64.b64encode(image_file.learn())\n        return encoded_string.decode(\"utf-8\")\n\n\nAWS_REGION = \"us-east-1\"\nMODEL_ID = \"amazon.nova-reel-v1:1\"\nSLEEP_SECONDS = 15  # Interval at which to verify video gen progress\nS3_DESTINATION_BUCKET = \"s3:\/\/&lt;your bucket right here&gt;\"\n\nvideo_shot_prompts = [\n    # Example of using an S3 image in a shot.\n    {\n        \"text\": \"Epic aerial rise revealing the landscape, dramatic documentary style with dark atmospheric mood\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\n                \"s3Location\": {\"uri\": \"s3:\/\/&lt;your bucket here&gt;\/images\/arctic_1.png\"}\n            },\n        },\n    },\n    # Example of using a locally saved image in a shot\n    {\n        \"text\": \"Sweeping drone shot across surface, cracks forming in ice, morning sunlight casting long shadows, documentary style\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_2.png\")},\n        },\n    },\n    {\n        \"text\": \"Epic aerial shot slowly soaring forward over the glacier's surface, revealing vast ice formations, cinematic drone perspective\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_3.png\")},\n        },\n    },\n    {\n        \"text\": \"Aerial shot slowly descending from high above, revealing the lone penguin's journey through the stark ice landscape, artic smoke washes over the land, nature documentary styled\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_4.png\")},\n        },\n    },\n    {\n        \"text\": \"Colossal wide shot of half the glacier face catastrophically collapsing, enormous wall of ice breaking away and crashing into the ocean. Slow motion, camera dramatically pulling back to reveal the massive scale. Monumental waves erupting from impact.\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_5.png\")},\n        },\n    },\n    {\n        \"text\": \"Slow motion tracking shot moving parallel to the penguin, with snow and mist swirling dramatically in the foreground and background\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_6.png\")},\n        },\n    },\n    {\n        \"text\": \"High-altitude drone descent over pristine glacier, capturing violent fracture chasing the camera, crystalline patterns shattering in slow motion across mirror-like ice, camera smoothly aligning with surface.\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_7.png\")},\n        },\n    },\n    {\n        \"text\": \"Epic aerial drone shot slowly pulling back and rising higher, revealing the vast endless ocean surrounding the solitary penguin on the ice float, cinematic reveal\",\n        \"image\": {\n            \"format\": \"png\",\n            \"source\": {\"bytes\": image_to_base64(\"arctic_8.png\")},\n        },\n    },\n]\n\nbedrock_runtime = boto3.consumer(\"bedrock-runtime\", region_name=AWS_REGION)\nmodel_input = {\n    \"taskType\": \"MULTI_SHOT_MANUAL\",\n    \"multiShotManualParams\": {\"pictures\": video_shot_prompts},\n    \"videoGenerationConfig\": {\n        \"fps\": 24,\n        \"dimension\": \"1280x720\",\n        \"seed\": random.randint(0, 2147483648),\n    },\n}\n\ninvocation = bedrock_runtime.start_async_invoke(\n    modelId=MODEL_ID,\n    modelInput=model_input,\n    outputDataConfig={\"s3OutputDataConfig\": {\"s3Uri\": S3_DESTINATION_BUCKET}},\n)\n\ninvocation_arn = invocation[\"invocationArn\"]\njob_id = invocation_arn.cut up(\"\/\")[-1]\ns3_location = f\"{S3_DESTINATION_BUCKET}\/{job_id}\"\nprint(f\"nMonitoring job folder: {s3_location}\")\n\nwhereas True:\n    response = bedrock_runtime.get_async_invoke(invocationArn=invocation_arn)\n    standing = response[\"status\"]\n    print(f\"Standing: {standing}\")\n    if standing != \"InProgress\":\n        break\n    time.sleep(SLEEP_SECONDS)\n\nif standing == \"Accomplished\":\n    print(f\"nVideo is prepared at {s3_location}\/output.mp4\")\nelse:\n    print(f\"nVideo era standing: {standing}\")<\/code><code class=\"lang-python\">\n<\/code><code class=\"lang-python\"\/><\/pre>\n<p>As within the earlier demo, after a couple of minutes, I obtain the output utilizing the AWS CLI:<br \/><code>aws s3 cp s3:\/\/&lt;your bucket right here&gt;\/&lt;job_id&gt;\/output.mp4 output_manual.mp4<\/code><\/p>\n<p>That is the video that this immediate generated:<\/p>\n<p><u><strong>Extra inventive examples<\/strong><\/u><br \/>If you use Amazon Nova Reel 1.1, you may uncover a world of inventive potentialities. Listed here are some pattern prompts that will help you start:<\/p>\n<p>Shade Burst, created by <a href=\"https:\/\/www.linkedin.com\/in\/nitinbeusebius\/\" target=\"_blank\" rel=\"noopener\">Nitin Eusebius<\/a><\/p>\n<p><code>immediate = \"Explosion of coloured powder towards black background. Begin with slow-motion closeup of single purple powder burst. Dolly out revealing a number of powder clouds in vibrant hues colliding mid-air. Monitor throughout spectrum of colours mixing: magenta, yellow, cyan, orange. Zoom in on particles illuminated by sunbeams. Arc shot capturing full coloration discipline. 4K, competition celebration, high-contrast lighting\"<\/code><\/p>\n<p>Form Shifting, created by <a href=\"https:\/\/www.linkedin.com\/in\/sanju-sunny\/\" target=\"_blank\" rel=\"noopener\">Sanju Sunny<\/a><\/p>\n<div class=\"hide-language\">\n<pre><code class=\"lang-bash\">immediate = \"A easy pink triangle transforms by geometric shapes in a journey of self-discovery. Clear vector graphics towards white background. The triangle slides throughout damaging house, morphing easily right into a circle. Pan left because it encounters a blue sq., they carry out a geometrical dance of shapes. Monitoring shot as shapes mix and separate in mathematical precision. Zoom out to disclose a sample shaped by their actions. Restricted coloration palette of major colours. Exact, mechanical actions with good geometric alignments. Transitions use easy wipes and geometric form reveals. Flat design aesthetic with sharp edges and stable colours. Closing scene exhibits all shapes combining into a fancy mandala sample.\"<\/code><\/pre>\n<\/p><\/div>\n<p>All instance movies have music added manually earlier than importing, by the AWS Video workforce.<\/p>\n<p><u><strong>Issues to know<\/strong><\/u><br \/><strong>Artistic management<\/strong> \u2013 You need to use this\u00a0enhanced management for life-style and ambient background movies in promoting, advertising and marketing, media, and leisure tasks. Customise particular parts similar to digicam movement and shot content material, or animate present photographs.<\/p>\n<p><strong>Modes concerns \u2013\u00a0<\/strong> In automated mode, you possibly can write prompts as much as 4,000 characters. For handbook mode, every shot accepts prompts as much as 512 characters, and you may embody as much as 20 pictures in a single video. Think about planning your pictures prematurely, just like creating a standard storyboard. Enter photographs should match the 1280x720 decision requirement. The service robotically delivers your accomplished movies to your specified S3 bucket.<\/p>\n<p><strong>Pricing and availability \u2013 <\/strong>Amazon Nova Reel 1.1 is offered in Amazon Bedrock within the US East (N. Virginia) <a href=\"https:\/\/aws.amazon.com\/about-aws\/global-infrastructure\/regions_az\/\" target=\"_blank\" rel=\"noopener\">AWS Area<\/a>. You'll be able to entry the mannequin by the Amazon Bedrock console, AWS SDK, or AWS CLI. As with all Amazon Bedrock companies, pricing follows a pay-as-you-go mannequin based mostly in your utilization. For extra info, check with <a href=\"https:\/\/aws.amazon.com\/bedrock\/pricing\/\" target=\"_blank\" rel=\"noopener\">Amazon Bedrock pricing<\/a>.<\/p>\n<p>Prepared to begin creating with Amazon Nova Reel? Go to the <a href=\"https:\/\/docs.aws.amazon.com\/ai\/responsible-ai\/nova-reel\/overview.html\" target=\"_blank\" rel=\"noopener\">Amazon Nova Reel AWS AI Service Playing cards<\/a> to be taught extra and dive into the <a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/video-generation.html\" target=\"_blank\" rel=\"noopener\">Producing movies with Amazon Nova<\/a>. Discover Python code examples within the <a href=\"https:\/\/github.com\/aws-samples\/amazon-nova-samples\" target=\"_blank\" rel=\"noopener\">Amazon Nova mannequin cookbook repository<\/a>, improve your outcomes utilizing the <a href=\"https:\/\/docs.aws.amazon.com\/nova\/latest\/userguide\/prompting-video-generation.html\" target=\"_blank\" rel=\"noopener\">Amazon Nova Reel prompting finest practices<\/a>, and uncover video examples within the <a href=\"https:\/\/www.amazon.science\/blog\/amazon-nova-reel-examples\" target=\"_blank\" rel=\"noopener\">Amazon Nova Reel gallery<\/a>\u2014full with the prompts and reference photographs that introduced them to life.<\/p>\n<p>The chances are countless, and we stay up for seeing what you create! Be part of our rising neighborhood of builders at <a href=\"https:\/\/community.aws\/\" target=\"_blank\" rel=\"noopener\">neighborhood.aws<\/a>, the place you possibly can create your <a href=\"https:\/\/community.aws\/builderid?trk=fccf147c-636d-45bf-bf0a-7ab087d5691a&amp;sc_channel=el\" target=\"_blank\" rel=\"noopener\">BuilderID<\/a>, share your video era tasks, and join with fellow innovators.<\/p>\n<p>\u2014 <a href=\"https:\/\/www.linkedin.com\/in\/lizfue\/\" target=\"_blank\" rel=\"noopener\">Eli<\/a><\/p>\n<hr\/>\n<p>How is the Information Weblog doing? Take this <a href=\"https:\/\/amazonmr.au1.qualtrics.com\/jfe\/form\/SV_eyD5tC5xNGCdCmi\" target=\"_blank\" rel=\"noopener\">1 minute survey<\/a>!<\/p>\n<p><em>(This <a href=\"https:\/\/amazonmr.au1.qualtrics.com\/jfe\/form\/SV_eyD5tC5xNGCdCmi\" target=\"_blank\" rel=\"noopener\">survey<\/a> is hosted by an exterior firm. AWS handles your info as described within the <a href=\"https:\/\/aws.amazon.com\/privacy\/?trk=4b29643c-e00f-4ab6-ab9c-b1fb47aa1708&amp;sc_channel=blog\" target=\"_blank\" rel=\"noopener\">AWS Privateness Discover<\/a>. AWS will personal the info gathered by way of this survey and won't share the knowledge collected with survey respondents.)<\/em><\/p>\n<p>       <!-- '\"` -->\n      <\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>At re:Invent 2024, we introduced Amazon Nova fashions, a brand new era of basis fashions (FMs), together with Amazon Nova Reel, a video era mannequin that creates quick movies from textual content descriptions and non-obligatory reference photographs (collectively, the \u201cimmediate\u201d). At this time, we introduce Amazon Nova Reel 1.1, which gives high quality and latency [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5502,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-5500","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cloud-computing"},"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/5500","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5500"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/5500\/revisions"}],"predecessor-version":[{"id":5501,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/5500\/revisions\/5501"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/5502"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5500"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5500"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}