{"id":1107,"date":"2026-04-17T10:24:23","date_gmt":"2026-04-17T10:24:23","guid":{"rendered":"https:\/\/aiimagetovideo.pro\/blog\/?p=1107"},"modified":"2026-07-17T04:13:37","modified_gmt":"2026-07-17T04:13:37","slug":"make-it-realistic","status":"publish","type":"post","link":"https:\/\/aiimagetovideo.pro\/blog\/make-it-realistic\/","title":{"rendered":"10 Tips for Making Photorealistic AI Videos","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"\n<p>Have you ever added <strong>&#8220;realistic&#8221;<\/strong> to your AI video prompt in hopes of making the result look less AI-generated\u2014only to end up disappointed?<\/p>\n\n\n\n<p>Creating AI videos with a truly live-action look is a broad topic, but one thing I highly recommend is replacing vague descriptions with more precise prompt wording and combining it with a few practical techniques. Together, these can dramatically improve the realism of your results.<\/p>\n\n\n\n<p>This guide breaks down 10 actionable tips \u2014 drawn from the workflows of top AI video creators and community-tested techniques \u2014 that address every major factor in making your ultra-realistic AI video truly convincing.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Key factors make it ultra-realistic you may overlook<\/h2>\n\n\n\n<p>A realistic AI video is not just high-resolution or cinematic. It feels real when the scene follows the same rules as real footage. Most fake-looking AI videos fail in a few predictable ways.<\/p>\n\n\n\n<p><strong>The key factors are:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Frame-to-frame consistency<\/strong><br>Faces, clothing, props, and backgrounds should stay stable instead of morphing or drifting during the shot. This is one of the fastest ways viewers spot AI.<\/li>\n\n\n\n<li><strong>Natural motion and physics<\/strong><br>People should shift weight naturally, and objects should move with believable speed, balance, and gravity. Floaty or snapping motion breaks realism fast.<\/li>\n\n\n\n<li><strong>Logical lighting<\/strong><br>Light should have a clear direction and stay consistent across the scene. Shadows, highlights, and reflections need to match the subject, camera angle, and environment.<\/li>\n\n\n\n<li><strong>Intentional camera movement<\/strong><br>Realistic pans, push-ins, and tracking shots feel smooth and motivated. Jittery or constantly shifting camera behavior makes footage feel generated.<\/li>\n\n\n\n<li><strong>Believable texture and detail<\/strong><br>Skin, hair, fabric, glass, and water should respond to light like real materials. Overly smooth, waxy, or plastic-looking surfaces are common AI giveaways.<\/li>\n\n\n\n<li><strong>Natural imperfection<\/strong><br>Real footage is never perfectly clean. Slight texture irregularities, subtle motion blur, and less \u201cperfect\u201d detail often make AI video feel more real, not less.<\/li>\n\n\n\n<li><strong>Audio that matches the scene<\/strong><br>If the model supports audio, realistic pacing, breaths, pauses, and ambient sound help the video feel grounded instead of robotic.<\/li>\n<\/ul>\n\n\n\n<p>In short, realism comes from <strong>consistency, physics, lighting, camera control, texture, and imperfection<\/strong> working together.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"683\" src=\"https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/04\/skin-texture-1024x683.webp\" alt=\"skin texture\" class=\"wp-image-1108\" style=\"width:694px;height:auto\" srcset=\"https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/04\/skin-texture-1024x683.webp 1024w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/04\/skin-texture-300x200.webp 300w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/04\/skin-texture-768x512.webp 768w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/04\/skin-texture.webp 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-black-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/aiimagetovideo.pro\/\" style=\"background-color:#b8f807\">Try AI Image to Video<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>10 Tips to Make It Ultra-realistic<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Use a Specific Video Medium<\/strong><\/h3>\n\n\n\n<p>Don&#8217;t generate &#8220;a cinematic video.&#8221; That vague direction is how you get the generic hyper-realistic AI video look that&#8217;s becoming its own tell.<\/p>\n\n\n\n<p>Instead, <strong>define a specific visual language<\/strong> before you generate anything. Are you making a handheld vlog? A documentary interview? A DSLR-shot product demo? A drone flyover? Each medium carries its own camera behavior, color palette, resolution characteristics, and motion feel.<\/p>\n\n\n\n<p>When you specify a medium, you give the AI a concrete visual target that produces a more coherent, believable result.<\/p>\n\n\n\n<p>Documentary shot on Sony FX3 beats &#8220;cinematic video&#8221; every time. The more specific your medium, the more realistic your output.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Be Intentional About Lighting<\/strong><\/h3>\n\n\n\n<p><strong>Lighting is the single most cited factor in AI realism<\/strong> across both 3D rendering and AI video communities. Conflicting light directions between foreground and background elements are the most common artifact that breaks realism.<\/p>\n\n\n\n<p>Specify a single, consistent main light source: golden hour warmth, overcast diffusion, studio three-point setup, or harsh overhead fluorescent. <a href=\"https:\/\/aiimagetovideo.pro\/blog\/lighting-effect-prompt-for-ai-video-image\/\">Include lighting terms in your prompts<\/a> \u2014 key light position, fill ratio, backlight direction \u2014 and ensure every element in the scene is lit from the same direction.<\/p>\n\n\n\n<p>Multiple community discussions identify inconsistent lighting as the primary reason renders and AI video look fake.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Use the Right AI Model<\/strong><\/h3>\n\n\n\n<p>Not all AI models handle realism equally. Some excel with human faces but struggle with motion. Others produce smooth movement but plastic-looking textures.<\/p>\n\n\n\n<p><strong>Choose your model based on your content type.<\/strong> For image-to-video workflows, platforms like <a href=\"https:\/\/aiimagetovideo.pro\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Image to Video<\/a> provide access to multiple advanced models including <strong>Kling<\/strong>, <strong>Veo<\/strong>, and <strong>Wan<\/strong>, letting you select the model best suited for your scene type and desired realism level. Community discussions consistently show that model selection matters as much as prompting technique.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Make Big Subjects<\/strong><\/h3>\n\n\n\n<p><strong>Fill the frame with your subject.<\/strong> AI models perform significantly better with large, prominent subjects than with complex wide shots containing many small elements.<\/p>\n\n\n\n<p>Close-ups and medium shots give the AI fewer details to hallucinate and more pixel budget for realistic textures \u2014 skin pores, fabric weave, hair strands. Wide establishing shots with many small figures are where AI video most commonly breaks down with anatomical errors and inconsistent details.<\/p>\n\n\n\n<p>Frame your shots the way a portrait photographer would: fill the frame, simplify the background, and let your subject dominate.<\/p>\n\n\n\n<p>If you want to know more about camera lens types, please <a href=\"https:\/\/aiimagetovideo.pro\/blog\/understanding-camera-lenses-ai-prompt\/\"><strong>click and read<\/strong><\/a> this blog.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Animate Fewer Subjects per Shot<\/strong><\/h3>\n\n\n\n<p>Every additional moving element is another opportunity for artifacts. <strong>Limit each shot to one or two primary subjects in motion.<\/strong><\/p>\n\n\n\n<p>Complex multi-character scenes with simultaneous independent motion overwhelm current models, producing clipping, object permanence failures, and inconsistent physics. When you need a crowd scene, use shorter clips and cut between single-subject shots \u2014 the same approach real filmmakers use to manage complex scenes on limited budgets.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Character Consistency<\/strong><\/h3>\n\n\n\n<p>Nothing breaks immersion faster than a <strong>character drift<\/strong> which means character&#8217;s face, hair, or clothing subtly changes between shots.<\/p>\n\n\n\n<p><strong>Use dedicated character systems and <\/strong><a href=\"https:\/\/aiimagetovideo.pro\/blog\/how-to-prompt-ai-character-reference-sheet\/\"><strong>establish a fixed reference set<\/strong><\/a><strong> before generating.<\/strong> Lock down specific facial features, clothing, and body proportions. Top YouTube creators like <a href=\"https:\/\/www.youtube.com\/@DanKieft\" target=\"_blank\" rel=\"noreferrer noopener\">Dan Kieft<\/a> emphasize that character consistency is one of the three pillars of convincing AI video content \u2014 alongside realism and motion.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><a href=\"https:\/\/aiimagetovideo.pro\/blog\/how-to-prompt-ai-character-reference-sheet\/\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/07\/Generation-test-by-author-with-GPT-Image-2-1024x576.webp\" alt=\"Generation test by author with GPT Image 2\" class=\"wp-image-1771\" style=\"width:715px;height:auto\" srcset=\"https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/07\/Generation-test-by-author-with-GPT-Image-2-1024x576.webp 1024w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/07\/Generation-test-by-author-with-GPT-Image-2-300x169.webp 300w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/07\/Generation-test-by-author-with-GPT-Image-2-768x432.webp 768w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/07\/Generation-test-by-author-with-GPT-Image-2-1536x864.webp 1536w, https:\/\/aiimagetovideo.pro\/blog\/wp-content\/uploads\/2026\/07\/Generation-test-by-author-with-GPT-Image-2.webp 1672w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><figcaption class=\"wp-element-caption\">Sample generated by me<\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. Consistent Style with Image Reference<\/strong><\/h3>\n\n\n\n<p>Use <strong>fixed reference images<\/strong> instead of pure text-to-video generation. Reference-based workflows produce dramatically more predictable and consistent results because the AI has a concrete visual anchor rather than interpreting text ambiguously.<\/p>\n\n\n\n<p>Create or select high-quality reference images that establish your desired lighting, color grade, and composition, then use image-to-video tools to animate from that baseline. Expert creators confirm that fixed reference images produce predictable results versus random text-to-video output. As to the mainstream image generators most frequently mentioned on social media, I would say  ChatGPT Image 2 and Nano Banana 2 or Pro, which are currently available in our image generation toolkit. Platforms designed for image-to-video conversion \u2014 such as <a href=\"https:\/\/aiimagetovideo.pro\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Image to Video<\/a> with its customizable aspect ratio and motion controls \u2014 streamline this reference-based workflow.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. Use Simple Motions in Scenes<\/strong><\/h3>\n\n\n\n<p>Subtle, controlled motion looks far more realistic than dramatic action. <strong>Limit movement to gentle camera pans, slow zooms, slight head turns, hair blowing in wind, or steam rising from a cup.<\/strong><\/p>\n\n\n\n<p>Current AI video models handle slow, predictable motion well but struggle with fast, complex movement \u2014 running, dancing, or rapid camera pans often produce warping and frame inconsistencies. Think &#8220;b-roll&#8221; rather than &#8220;action sequence.&#8221; This actually mirrors real-world footage: most professional video content features deliberate, minimal movement.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>9. Mix and Match Generations<\/strong><\/h3>\n\n\n\n<p>Don&#8217;t rely on a single generation for your final output. <strong>Generate multiple versions of the same scene and cherry-pick the best segments from each.<\/strong><\/p>\n\n\n\n<p>Combine the strongest face from one generation with the best background motion from another using video editing. This &#8220;best of&#8221; approach mirrors how professional photographers select from hundreds of shots. Generate at different settings \u2014 varying motion intensity, aspect ratios, or even models \u2014 and composite the best elements together.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>10. Add Film Grain<\/strong><\/h3>\n\n\n\n<p>This is the finishing touch that separates good AI video from convincing AI video.<\/p>\n\n\n\n<p>Real camera footage inherently contains <strong>film grain<\/strong> (analog) or <strong>sensor noise<\/strong> (digital). AI output is too clean \u2014 unnaturally smooth and noise-free. Adding a subtle layer of film grain in post-production instantly makes output feel <em>captured<\/em> rather than <em>generated<\/em>.<\/p>\n\n\n\n<p>Beyond grain, consider adding:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Slight <strong>vignetting<\/strong> at frame edges<\/li>\n\n\n\n<li>Minor <strong>lens distortion<\/strong><\/li>\n\n\n\n<li><strong>Chromatic aberration<\/strong> at the periphery<\/li>\n\n\n\n<li>Subtle <strong>color grading<\/strong> matching a specific camera profile<\/li>\n<\/ul>\n\n\n\n<p>The <a href=\"https:\/\/www.reddit.com\/r\/blender\/\" target=\"_blank\" rel=\"noreferrer noopener\">Blender community<\/a> uses exactly these techniques to make 3D renders pass as real photographs \u2014 the identical approach works for AI video.<\/p>\n\n\n\n<p><strong>Key Takeaway<\/strong>: The final 10% of realism comes from post-processing. A few minutes of grain and lens effects can transform obviously-AI footage into something convincingly real.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs About Making Ultra-realistic AI Videos<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">What is the best AI model for realistic video generation?<\/h3>\n\n\n\n<p>There&#8217;s no single &#8220;best&#8221; model \u2014 it depends on your content type. <strong>Kling<\/strong> excels at human motion, <strong>Seedance 2.0<\/strong> handles complex scenes at the top level, and <strong>Wan<\/strong> offers strong image-to-video conversion. Experiment with different models to find the best fit for each project.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How to prompt to generate a realistic AI video?<\/h3>\n\n\n\n<p>Although creators often use <strong>&#8220;ultra-realistic&#8221;<\/strong> and <strong>&#8220;hyper-realistic&#8221;<\/strong> interchangeably, they actually produce different styles. <strong>Ultra-realistic<\/strong> is better when you want footage that looks like it was captured by a real camera, while <strong>hyper-realistic<\/strong> tends to create a sharper, more polished, and more cinematic look by exaggerating skin texture, contrast, and fine details. &#8220;<strong>Photorealistic<\/strong>&#8221; and specific camera models (such as <strong>Sony A7 III<\/strong>) are also commonly used for generating realistic images.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Can I make realistic AI videos for free?<\/h3>\n\n\n\n<p>Yes. Several platforms offer free tiers for AI video generation. Quality and output limits vary, but free tools can produce surprisingly realistic results when combined with the techniques in this guide.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How do I avoid the &#8220;uncanny valley&#8221; in AI videos?<\/h3>\n\n\n\n<p>Add subtle imperfections (film grain, skin texture, slight motion blur), use consistent single-source lighting, keep motions simple, and avoid the &#8220;hyper-cinematic&#8221; AI look by choosing a specific, grounded video medium.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What resolution should I use for realistic AI videos?<\/h3>\n\n\n\n<p>Generate at the highest resolution your tool supports \u2014 <strong>4K when available<\/strong>. Higher resolution provides more detail for textures like skin pores and fabric, which are critical for realism. As for reference images, the option of 8K will helps more.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is it better to use text-to-video or image-to-video for realism?<\/h3>\n\n\n\n<p><strong>Image-to-video consistently produces more realistic results<\/strong> because the AI has a concrete visual reference. Start with a high-quality reference image that establishes your desired look, then animate from that baseline.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>Creating ultra-realistic AI videos isn&#8217;t about finding one magic tool \u2014 it&#8217;s about applying a systematic approach that addresses every factor the human eye evaluates. <strong>Define your medium, control your lighting, choose the right model, simplify your compositions, maintain consistency, and finish with real-camera artifacts like film grain.<\/strong><\/p>\n\n\n\n<p>You don&#8217;t need to master all 10 tips at once. Start with lighting and film grain \u2014 they deliver the biggest realism improvement for the least effort \u2014 then layer in the other techniques as you refine your workflow.<\/p>\n\n\n\n<p><strong>Ready to put these tips into practice?<\/strong> Start with a high-quality reference image and try converting it into realistic video using <a href=\"https:\/\/aiimagetovideo.pro\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Image to Video<\/a> \u2014 experiment with different models and motion settings to find the combination that produces the most convincing results for your content.<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>Have you ever added &#8220;realistic&#8221; to your AI video prompt in hopes of making the result look less AI-generated\u2014only to end up disappointed? Creating AI videos with a truly live-action look is a broad topic, but one thing I highly recommend is replacing vague descriptions with more precise prompt wording and combining it with a few practical techniques. Together, these can dramatically improve the realism of your results. This guide breaks down 10 actionable tips \u2014 drawn from the workflows of top AI video creators and community-tested techniques \u2014 that address every major factor in making your ultra-realistic AI video truly convincing. Key factors make it ultra-realistic you may overlook A realistic AI video is not just high-resolution or cinematic. It feels real when the scene follows the same rules as real footage. Most fake-looking AI videos fail in a few predictable ways. The key factors are: In short, realism comes from consistency, physics, lighting, camera control, texture, and imperfection working together. 10 Tips to Make It Ultra-realistic 1. Use a Specific Video Medium Don&#8217;t generate &#8220;a cinematic video.&#8221; That vague direction is how you get the generic hyper-realistic AI video look that&#8217;s becoming its own tell. Instead, define a specific visual language before you generate anything. Are you making a handheld vlog? A documentary interview? A DSLR-shot product demo? A drone flyover? Each medium carries its own camera behavior, color palette, resolution characteristics, and motion feel. When you specify a medium, you give the AI a concrete visual target that produces a more coherent, believable result. Documentary shot on Sony FX3 beats &#8220;cinematic video&#8221; every time. The more specific your medium, the more realistic your output. 2. Be Intentional About Lighting Lighting is the single most cited factor in AI realism across both 3D rendering and AI video communities. Conflicting light directions between foreground and background elements are the most common artifact that breaks realism. Specify a single, consistent main light source: golden hour warmth, overcast diffusion, studio three-point setup, or harsh overhead fluorescent. Include lighting terms in your prompts \u2014 key light position, fill ratio, backlight direction \u2014 and ensure every element in the scene is lit from the same direction. Multiple community discussions identify inconsistent lighting as the primary reason renders and AI video look fake. 3. Use the Right AI Model Not all AI models handle realism equally. Some excel with human faces but struggle with motion. Others produce smooth movement but plastic-looking textures. Choose your model based on your content type. For image-to-video workflows, platforms like AI Image to Video provide access to multiple advanced models including Kling, Veo, and Wan, letting you select the model best suited for your scene type and desired realism level. Community discussions consistently show that model selection matters as much as prompting technique. 4. Make Big Subjects Fill the frame with your subject. AI models perform significantly better with large, prominent subjects than with complex wide shots containing many small elements. Close-ups and medium shots give the AI fewer details to hallucinate and more pixel budget for realistic textures \u2014 skin pores, fabric weave, hair strands. Wide establishing shots with many small figures are where AI video most commonly breaks down with anatomical errors and inconsistent details. Frame your shots the way a portrait photographer would: fill the frame, simplify the background, and let your subject dominate. If you want to know more about camera lens types, please click and read this blog. 5. Animate Fewer Subjects per Shot Every additional moving element is another opportunity for artifacts. Limit each shot to one or two primary subjects in motion. Complex multi-character scenes with simultaneous independent motion overwhelm current models, producing clipping, object permanence failures, and inconsistent physics. When you need a crowd scene, use shorter clips and cut between single-subject shots \u2014 the same approach real filmmakers use to manage complex scenes on limited budgets. 6. Character Consistency Nothing breaks immersion faster than a character drift which means character&#8217;s face, hair, or clothing subtly changes between shots. Use dedicated character systems and establish a fixed reference set before generating. Lock down specific facial features, clothing, and body proportions. Top YouTube creators like Dan Kieft emphasize that character consistency is one of the three pillars of convincing AI video content \u2014 alongside realism and motion. 7. Consistent Style with Image Reference Use fixed reference images instead of pure text-to-video generation. Reference-based workflows produce dramatically more predictable and consistent results because the AI has a concrete visual anchor rather than interpreting text ambiguously. Create or select high-quality reference images that establish your desired lighting, color grade, and composition, then use image-to-video tools to animate from that baseline. Expert creators confirm that fixed reference images produce predictable results versus random text-to-video output. As to the mainstream image generators most frequently mentioned on social media, I would say ChatGPT Image 2 and Nano Banana 2 or Pro, which are currently available in our image generation toolkit. Platforms designed for image-to-video conversion \u2014 such as AI Image to Video with its customizable aspect ratio and motion controls \u2014 streamline this reference-based workflow. 8. Use Simple Motions in Scenes Subtle, controlled motion looks far more realistic than dramatic action. Limit movement to gentle camera pans, slow zooms, slight head turns, hair blowing in wind, or steam rising from a cup. Current AI video models handle slow, predictable motion well but struggle with fast, complex movement \u2014 running, dancing, or rapid camera pans often produce warping and frame inconsistencies. Think &#8220;b-roll&#8221; rather than &#8220;action sequence.&#8221; This actually mirrors real-world footage: most professional video content features deliberate, minimal movement. 9. Mix and Match Generations Don&#8217;t rely on a single generation for your final output. Generate multiple versions of the same scene and cherry-pick the best segments from each. Combine the strongest face from one generation with the best background motion from another using video editing. This &#8220;best of&#8221; approach mirrors how professional photographers select from hundreds of shots. Generate at different settings \u2014 varying motion intensity,<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":5,"featured_media":1796,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[1,22],"tags":[],"class_list":["post-1107","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-advanced-skills","category-writing-prompts"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>10 Tips for Making Photorealistic AI Videos<\/title>\n<meta name=\"description\" content=\"Key factors to make ultra-realistic and 10 tips to fix problems. 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