[{"data":1,"prerenderedAt":966},["ShallowReactive",2],{"blog-en-happyhorse-1-0-prompting-guide":3,"blog-locales-happyhorse-1-0-prompting-guide":288,"blog-related-en-happyhorse-1-0-prompting-guide":289},{"id":4,"title":5,"author":6,"body":7,"category":270,"cover":271,"date":272,"description":273,"extension":274,"locale":275,"meta":276,"navigation":277,"path":278,"readingTime":279,"seo":280,"stem":281,"tags":282,"__hash__":287},"blog\u002Fblog\u002Fhappyhorse-1-0-prompting-guide.md","HappyHorse 1.0 Prompting Guide: Getting the Best From Alibaba's Open Video Model","Nexvy Team",{"type":8,"value":9,"toc":246},"minimark",[10,14,17,22,25,28,32,35,76,79,83,88,91,95,98,102,105,109,112,116,119,123,126,130,142,146,149,153,156,160,163,167,170,174,177,181,192,195,198,202,205,209,212,222,225,229,243],[11,12,13],"p",{},"HappyHorse 1.0 is the latest open video model to land on Nexvy, and it changes the math for anyone who wants synchronized video and audio out of a single pass. Released on April 9, 2026 by Alibaba's Taotian Future Life Lab under Zhang Di, it pairs a 15-billion-parameter transformer with native multilingual lip-sync and a surprisingly literal prompt parser.",[11,15,16],{},"That last part matters. Most video models punish long prompts — they smear specifics into a generic average. HappyHorse 1.0 rewards them. The more concrete you are about scene, subject, motion, lens, and audio, the closer the result lands to what you imagined. This guide is a working playbook for getting there.",[18,19,21],"h2",{"id":20},"why-happyhorse-10-is-different","Why HappyHorse 1.0 Is Different",[11,23,24],{},"Two design choices set HappyHorse apart from Veo, Sora, and Kling. First, video and audio are generated jointly inside the same pass, so dialogue, foley, and ambient sound are temporally locked to the picture rather than dubbed afterward. Second, the model is unusually tolerant of detail. Where other systems blur instructions when given long prompts, HappyHorse keeps named elements intact and treats granular cues — wardrobe, gaze direction, lens choice, room tone — as load-bearing.",[11,26,27],{},"The trade-off is that vague prompts get average results. The model will not invent missing intent for you. That makes prompt structure the single biggest lever you have over output quality.",[18,29,31],{"id":30},"the-six-block-prompt-anatomy","The Six-Block Prompt Anatomy",[11,33,34],{},"A reliable HappyHorse prompt moves through six blocks in order. You do not have to label them, but separating them as short tagged segments makes debugging far easier than a single dense paragraph.",[36,37,38,46,52,58,64,70],"ol",{},[39,40,41,45],"li",{},[42,43,44],"strong",{},"Scene and timing"," — where the action happens and when (time of day, season, weather).",[39,47,48,51],{},[42,49,50],{},"Subject"," — who or what is on screen, including scale (full-body, mid-shot, close-up), posture, and gaze direction.",[39,53,54,57],{},[42,55,56],{},"Action and motion"," — what moves and at what tempo.",[39,59,60,63],{},[42,61,62],{},"Camera language"," — shot size, angle, and any movement (push-in, tracking, orbit, handheld).",[39,65,66,69],{},[42,67,68],{},"Light and texture"," — direction and quality of light, and lens character (35mm film, anamorphic, macro).",[39,71,72,75],{},[42,73,74],{},"Audio intent"," — dialogue in quotes, foley by name, music or \"no music\".",[11,77,78],{},"Following this order keeps the model from over-weighting one block at the expense of others. If you swap the camera move for the lens choice and lose the framing you wanted, you usually only had to move that line back two slots.",[18,80,82],{"id":81},"twelve-practical-techniques","Twelve Practical Techniques",[84,85,87],"h3",{"id":86},"_1-photorealistic-mode","1. Photorealistic Mode",[11,89,90],{},"Tokens like \"photorealistic\", \"shot like a 35mm film photograph\", or \"documentary style\" pull the model away from its default polished aesthetic. To push further, name the imperfections — pores, faint motion blur, slightly uneven skin, natural ambient light. The phrase \"no glamorization, no heavy retouching\" is a reliable counterweight to the typical AI portrait look.",[84,92,94],{"id":93},"_2-camera-language","2. Camera Language",[11,96,97],{},"HappyHorse responds to explicit camera vocabulary. Push-in and pull-back set distance change, tracking shot moves parallel to the subject, orbit circles around it, pan and tilt rotate from a fixed point, and handheld follow gives you organic, slightly uneven motion. When the path matters, name both endpoints — \"tracking shot from frame-right to frame-left\" beats \"tracking shot\" alone.",[84,99,101],{"id":100},"_3-dialogue-and-lip-sync","3. Dialogue and Lip-Sync",[11,103,104],{},"Verbatim dialogue in quotation marks activates the lip-sync pipeline. Append \"EXACT, verbatim, no extra characters\" to keep the model from paraphrasing for rhythm. For dialogue work, switch to Pro mode — Std will often produce intelligible but slightly soft phoneme timing.",[84,106,108],{"id":107},"_4-multilingual-prompts","4. Multilingual Prompts",[11,110,111],{},"The model natively supports English, Mandarin, Cantonese, Japanese, Korean, German, and French. For non-Latin scripts, write the line in the native script rather than transliterating. A romanized Mandarin line is treated as English-flavored gibberish; the same line in Hanzi is treated as Mandarin and gets the right phonemes and prosody.",[84,113,115],{"id":114},"_5-describing-people","5. Describing People",[11,117,118],{},"Be explicit about scale, posture, and gaze. \"Full body in frame, feet visible, looking down at a book — not at the camera\" is doing three jobs at once. Without an explicit gaze instruction, the model leans toward direct camera-eye contact, which is rarely what you want for narrative shots.",[84,120,122],{"id":121},"_6-naming-audio-intent","6. Naming Audio Intent",[11,124,125],{},"Always state what the soundtrack should do. Voice-over goes in quotes prefixed with \"voice-over:\". Diegetic dialogue goes in quotes with the speaker named. Foley elements should be named and tied to a visual event — \"soft ceramic clink as the lid is lifted\" — rather than left to the model's imagination. If you want silence, say \"no music\".",[84,127,129],{"id":128},"_7-composing-with-element","7. Composing With @element",[11,131,132,133,137,138,141],{},"In the API, the ",[134,135,136],"code",{},"happyhorse_elements"," field lets you register up to three named assets — a person, a product, a logo — and reference them in the prompt as ",[134,139,140],{},"@element_name",". This is the right tool for product placement and consistent character work, because the reference image is treated as identity rather than as visual style.",[84,143,145],{"id":144},"_8-reference-to-video-with-multiple-inputs","8. Reference-to-Video With Multiple Inputs",[11,147,148],{},"When you pass several reference images, address each one by index in the prompt: \"Image 1: product photo. Image 2: aesthetic reference for lighting and tone. Place the product from Image 1 into a scene matching the mood of Image 2.\" Without indexing, the model averages the references and you lose the discrimination you actually wanted.",[84,150,152],{"id":151},"_9-surgical-edits","9. Surgical Edits",[11,154,155],{},"For incremental changes use the pattern: \"change only X\" + \"keep everything else the same\" + an explicit list of what to preserve. Repeating the preservation list twice in slightly different words measurably reduces drift in unrelated regions. Try to limit edits to two regions per pass — three or more usually requires a fresh generation.",[84,157,159],{"id":158},"_10-iterative-refinement","10. Iterative Refinement",[11,161,162],{},"Start with a clean baseline prompt in Std mode, then layer changes in small steps. One or two tweaks per iteration converges; five tweaks at once produces something that resembles neither the baseline nor your target. Two or three iterations is normal for a complex shot.",[84,164,166],{"id":165},"_11-bilingual-world-knowledge","11. Bilingual World Knowledge",[11,168,169],{},"The training set was curated by a team working in both Chinese and English, and the model retains noticeably sharper detail for culturally specific scenes when prompted in the matching language. Hutong courtyards, Japanese tatami interiors, Lunar New Year staging — native-language prompts often produce more accurate props, signage, and architecture than translated ones.",[84,171,173],{"id":172},"_12-multi-shot-sequences","12. Multi-Shot Sequences",[11,175,176],{},"The text-to-video endpoint supports multi-shot mode: up to five shots of up to twelve seconds each. Describe the protagonist once at the top of the prompt, then list each shot with its own framing and action. Restate the consistency requirements — face, hair, wardrobe — explicitly per shot. The model will not infer them from the header alone.",[18,178,180],{"id":179},"modes-resolutions-and-length","Modes, Resolutions, and Length",[11,182,183,184,187,188,191],{},"HappyHorse 1.0 ships with two inference modes. ",[42,185,186],{},"Std"," is a distilled eight-step student model — fast, cheap, and good enough for drafts, social-format clips, and idea testing. ",[42,189,190],{},"Pro"," uses the extended denoising schedule and is the right choice for dialogue, hero shots, multilingual lip-sync, and image-to-video animation where motion fidelity matters.",[11,193,194],{},"Resolutions are 720p and 1080p, with aspect ratios 16:9, 9:16, 1:1, 4:3, and 3:4 covered. Clip length runs from three to fifteen seconds for single shots, with multi-shot extending the total via the dedicated mode.",[11,196,197],{},"A pragmatic workflow: draft in Std at 720p with the aspect ratio of your final delivery, generate two or three calibration takes, and only switch to Pro at 1080p once the prompt is locked.",[18,199,201],{"id":200},"common-pitfalls","Common Pitfalls",[11,203,204],{},"A handful of mistakes account for most disappointing first generations. Forgetting quotation marks around dialogue causes the model to paraphrase. Forgetting to declare audio intent lets the model pick a soundtrack you did not ask for. Asking for large camera movement on a static input image fights the model's image-to-video prior. Mixing prompt languages inside one paragraph confuses the tokenizer. Trying to change three or more independent regions in a single edit pass usually drifts at least one of them. Skipping the preservation list during iterative edits is the most common cause of \"why did the wardrobe change\". Over-stuffing multi-shot mode with more than five shots silently truncates.",[18,206,208],{"id":207},"a-universal-prompt-template","A Universal Prompt Template",[11,210,211],{},"When you are not sure where to start, this skeleton is a safe baseline:",[213,214,219],"pre",{"className":215,"code":217,"language":218},[216],"language-text","Application: [photorealistic \u002F cinematic \u002F animated]\nScene & timing: [location, time of day, weather]\nSubject: [scale, posture, gaze]\nAction: [what moves, at what tempo]\nCamera: [shot size, angle, movement]\nLight & lens: [direction, quality, lens character]\nDialogue: \"[exact line]\" (EXACT, verbatim)\nAudio: [voice-over \u002F foley \u002F music or no music]\nOutput: [resolution, aspect ratio, duration]\n","text",[134,220,217],{"__ignoreMap":221},"",[11,223,224],{},"Fill each line with one concrete clause and resist the urge to combine them. The model parses block-shaped prompts more cleanly than narrative ones.",[18,226,228],{"id":227},"when-to-reach-for-happyhorse","When to Reach for HappyHorse",[11,230,231,232,237,238,242],{},"HappyHorse 1.0 is the right pick when you need synchronized speech or sound, when you are working in a language Veo or Sora handles weakly, when you have a specific reference asset that has to survive into the final frame, or when you want to compose a multi-shot sequence in a single request. For pure cinematic spectacle without dialogue, ",[233,234,236],"a",{"href":235},"\u002Fblog\u002Fseedance-2-0-the-motion-coherent-ai-video-model","Seedance 2.0"," and ",[233,239,241],{"href":240},"\u002Fblog\u002Fkling-3-0-deep-dive-features-prompts-and-best-results","Kling 3.0"," are still strong alternatives, and Veo 3 retains an edge for photorealistic ambient scenes.",[11,244,245],{},"The model is now live on Nexvy alongside the rest of the video catalogue. The fastest way to internalize this guide is to take the universal template, fill it in twice — once in Std at 720p, once in Pro at 1080p — and watch where the differences land. After three or four passes the six-block rhythm becomes automatic, and that is when HappyHorse starts to feel less like a prompt lottery and more like a camera you actually know how to point.",{"title":221,"searchDepth":247,"depth":247,"links":248},2,[249,250,251,266,267,268,269],{"id":20,"depth":247,"text":21},{"id":30,"depth":247,"text":31},{"id":81,"depth":247,"text":82,"children":252},[253,255,256,257,258,259,260,261,262,263,264,265],{"id":86,"depth":254,"text":87},3,{"id":93,"depth":254,"text":94},{"id":100,"depth":254,"text":101},{"id":107,"depth":254,"text":108},{"id":114,"depth":254,"text":115},{"id":121,"depth":254,"text":122},{"id":128,"depth":254,"text":129},{"id":144,"depth":254,"text":145},{"id":151,"depth":254,"text":152},{"id":158,"depth":254,"text":159},{"id":165,"depth":254,"text":166},{"id":172,"depth":254,"text":173},{"id":179,"depth":247,"text":180},{"id":200,"depth":247,"text":201},{"id":207,"depth":247,"text":208},{"id":227,"depth":247,"text":228},"how-to","\u002Fblog\u002Fcovers\u002Fhappyhorse-1-0-prompting-guide.jpg","2026-05-05","HappyHorse 1.0 is the new 15B open video model from Alibaba's Taotian Future Life Lab. This prompting guide breaks down the six-block prompt anatomy, twelve practical techniques, modes, and common pitfalls so you can ship sharper clips on the first try.","md","en",{},true,"\u002Fblog\u002Fhappyhorse-1-0-prompting-guide",8,{"title":5,"description":273},"blog\u002Fhappyhorse-1-0-prompting-guide",[283,284,285,286],"happyhorse","video generation","alibaba","prompting","l8kPZmyIf6w7aqifa1W7hrktlhfcazcwW-cgoZlP9ns",[275],[290,439],{"id":291,"title":292,"author":6,"body":293,"category":425,"cover":426,"date":427,"description":428,"extension":274,"locale":275,"meta":429,"navigation":277,"path":430,"readingTime":279,"seo":431,"stem":432,"tags":433,"__hash__":438},"blog\u002Fblog\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons.md","Best AI Video Generators 2026: Full Ranking with Pros and Cons",{"type":8,"value":294,"toc":412},[295,300,303,307,310,313,317,322,325,328,332,335,338,341,345,348,351,354,370,374,377,380,384,388,391,395,398,402,405,409],[296,297,299],"h1",{"id":298},"master-ai-video-audio-tools-for-2025-content-creation","Master AI Video & Audio Tools for 2025 Content Creation",[11,301,302],{},"The digital content landscape has shifted dramatically in the last twelve months, moving from static images to lively, AI-generated narratives. I remember spending hours editing simple talking-head videos just to explain a basic concept, only to realize that tools like HeyGen and Synthesia could replicate that effort in under three minutes. This isn't just about speed; it is about accessibility for creators who lack the budget for professional studios or the time to manage complex editing software. The barrier to entry for high-quality video production has collapsed, allowing solo entrepreneurs and small teams to compete with major media houses.",[18,304,306],{"id":305},"reshaping-video-with-ai-talking-heads","Reshaping Video with AI Talking Heads",[11,308,309],{},"The most immediate application of AI in video creation is the talking head avatar. These digital presenters can deliver scripts with natural lip-syncing and facial expressions, eliminating the need for cameras, lighting kits, and recording studios. Platforms like HeyGen, Synthesia, Colossian, and Tavus have reshaped this niche into a viable production method for training videos, marketing clips, and educational content. For many creators, the choice boils down to ease of use and cost efficiency. HeyGen, for instance, has gained popularity for its intuitive interface and competitive monthly pricing, making it a favorite for solo creators who need consistent output without a steep learning curve.",[11,311,312],{},"When selecting a tool, it is essential to evaluate the realism of the avatar and the flexibility of the customization options. Some platforms allow you to upload a single photo and animate it, while others require a longer recording session to create a custom digital twin. The key is to pick one solid platform and master its features rather than jumping between multiple tools. This focus ensures consistency in your brand’s visual identity and simplifies your workflow. As these models improve, the distinction between human and AI-generated video becomes increasingly blurred, offering endless possibilities for localized content creation where a single script can be translated and voiced in dozens of languages instantly.",[18,314,316],{"id":315},"the-explosion-of-ai-audio-and-voice-synthesis","The Explosion of AI Audio and Voice Synthesis",[318,319],"img",{"src":320,"alt":316,"loading":321},"\u002Fblog\u002Finline\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons-1.png","lazy",[11,323,324],{},"Following the surge in video creation, AI audio tools have emerged as the next critical pillar of content production. In 2025, the market saw an explosion in tools capable of generating full songs, cloning voices, and creating podcast-style discussions from simple text inputs. Suno AI stands out for its ability to create complete musical tracks from text prompts, allowing users to describe a vibe or genre and receive a professional-grade song in minutes. This capability has democratized music production, enabling creators to add original soundtracks to their videos without licensing fees or composer contracts.",[11,326,327],{},"For spoken content, ElevenLabs remains the industry leader in voice cloning and synthetic voice generation. Its technology captures not just the tone but the emotional nuance of human speech, making it indistinguishable from real narration for many listeners. Another new tool is NotebookLM, which can reshape any document into a podcast-style discussion between two AI hosts. This is particularly useful for summarizing complex reports or creating engaging audio content from written articles. With just two or three of these tools, creators can produce a full multimedia experience, including video, music, and narration, without ever touching a microphone or recording software.",[18,329,331],{"id":330},"staying-current-with-ai-model-rankings","Staying Current with AI Model Rankings",[318,333],{"src":334,"alt":331,"loading":321},"\u002Fblog\u002Finline\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons-2.png",[11,336,337],{},"One of the biggest challenges in the AI space is keeping up with the rapid pace of innovation. The models mentioned today may be superseded by newer, more efficient versions by next month. To navigate this ever-changing landscape, it is essential to rely on real-time data rather than static recommendations. LMSYS Chatbot Arena is an invaluable resource for this purpose. It provides a leaderboard where users can vote on the quality of different AI models in head-to-head comparisons, offering a crowdsourced ranking of the best tools available.",[11,339,340],{},"This platform covers a wide range of categories, including text generation, image creation, image-to-video conversion, and audio synthesis. By checking the leaderboard tab regularly, creators can identify which models are currently performing best for their specific needs. For example, if you are looking for the most realistic video generation tool, the arena will highlight which models are currently winning user preferences. This approach ensures that you are always using the most advanced technology, rather than sticking with outdated tools that may no longer offer the best quality or value. It also helps in understanding community sentiment and identifying emerging trends before they become mainstream.",[18,342,344],{"id":343},"strategic-implementation-and-cost-management","Strategic Implementation and Cost Management",[318,346],{"src":347,"alt":344,"loading":321},"\u002Fblog\u002Finline\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons-3.png",[11,349,350],{},"While the capabilities of AI tools are impressive, their cost can add up quickly, especially for high-volume creators. Understanding the pricing structures and optimizing your usage is critical for maintaining profitability. Many platforms offer tiered pricing, with free tiers that provide limited credits and premium plans that offer unlimited or high-volume access. For instance, some advanced video generation tools may charge around EUR 37 per day for heavy usage, which can be prohibitive for small businesses. However, by batching your content creation and planning your scripts in advance, you can maximize the value of your subscription.",[11,352,353],{},"Here are four practical tips for managing costs and optimizing your AI workflow:",[355,356,357,358,357,361,357,364,357,367],"ul",{},"\n ",[39,359,360],{},"Use Localrent for car rental analogies in cost-saving: Just as renting a car for a specific trip is cheaper than owning one, subscribe to AI tools on a monthly basis only when you have a specific project pipeline, then cancel during quiet periods to save up to 40% on annual costs.",[39,362,363],{},"Use free tiers and trial periods extensively before committing to paid plans. Most platforms like Synthesia and ElevenLabs offer free credits that allow you to test the quality and fit for your brand without any financial risk.",[39,365,366],{},"Schedule your content creation during off-peak hours if the platform offers lively pricing, or batch your tasks to complete them within a single session to reduce the number of API calls or credits used.",[39,368,369],{},"Be cautious of hidden fees for commercial licenses. Some tools offer free generation but charge extra for commercial use, so always read the terms of service to avoid unexpected bills that can reach EUR 150 or more per month.",[18,371,373],{"id":372},"data-handling-and-search-optimization-with-ai","Data Handling and Search Optimization with AI",[11,375,376],{},"The fourth pillar of AI content creation involves searching, data scraping, and data handling. This includes storing data in databases, tagging it, and retrieving it using AI-driven intelligence engines. For SEO specialists and content strategists, this is a game-changer. Tools like Ubersuggest, available through Neil Patel’s platform, offer solid keyword research and site audit capabilities that can automate much of the manual labor involved in SEO. These tools help identify high-value keywords, analyze competitors, and suggest content gaps that can be filled with AI-generated articles or videos.",[11,378,379],{},"Moreover, AI can assist in optimizing metadata, such as titles, descriptions, and tags, for better search engine visibility. For example, using GPT-4o or Claude to generate multiple title variations in the style of direct-response copywriter Dan Kennedy can help create compelling headlines that drive clicks. Testing these titles through tools like TubeBuddy can further refine your strategy. Additionally, AI can help in creating detailed descriptions, adding timestamps for chapters, and optimizing transcripts for keywords, ensuring that your content is not only visually appealing but also easily discoverable by search engines and users alike.",[18,381,383],{"id":382},"frequently-asked-questions","Frequently Asked Questions",[84,385,387],{"id":386},"are-ai-generated-videos-detectable-by-platforms-like-youtube","Are AI-generated videos detectable by platforms like YouTube?",[11,389,390],{},"Currently, most major platforms, including YouTube, require creators to disclose if their content is AI-generated. While detection technology is improving, many AI videos are visually indistinguishable from real footage. However, transparency is key to maintaining trust with your audience and complying with platform guidelines. Always label your content appropriately to avoid potential penalties or removal.",[84,392,394],{"id":393},"can-i-use-ai-generated-music-for-commercial-projects","Can I use AI-generated music for commercial projects?",[11,396,397],{},"It depends on the specific tool and its licensing terms. Platforms like Suno AI and Udio often have different licenses for free and paid users. Free users typically cannot use the generated music for commercial purposes, while paid subscribers may have broader rights. Always review the terms of service carefully before using AI-generated music in any monetized content to avoid copyright issues.",[84,399,401],{"id":400},"how-do-i-ensure-consistency-in-ai-generated-characters-across-multiple-videos","How do I ensure consistency in AI-generated characters across multiple videos?",[11,403,404],{},"To maintain character consistency, use tools that support seed numbers or character references. Platforms like Midjourney and Stable Diffusion allow you to lock specific features of a character by using consistent prompts and seed values. Additionally, some video AI tools now offer character consistency features, allowing you to upload a reference image and ensure the same character appears in different scenes and contexts without changing their appearance.",[18,406,408],{"id":407},"conclusion","Conclusion",[11,410,411],{},"The integration of AI into content creation is no longer a futuristic concept but a present-day reality that offers immense opportunities for efficiency and creativity. By using tools for video, audio, and data management, creators can produce high-quality content at a fraction of the traditional cost and time. However, success in this new landscape requires a strategic approach, including staying updated with the latest models, managing costs effectively, and ensuring ethical and transparent use of AI technologies. Start by mastering one or two core tools, such as HeyGen for video and ElevenLabs for audio, and gradually expand your toolkit as your needs grow. Remember, the goal is not to replace human creativity but to augment it, allowing you to focus on storytelling and strategy while AI handles the technical execution.",{"title":221,"searchDepth":247,"depth":247,"links":413},[414,415,416,417,418,419,424],{"id":305,"depth":247,"text":306},{"id":315,"depth":247,"text":316},{"id":330,"depth":247,"text":331},{"id":343,"depth":247,"text":344},{"id":372,"depth":247,"text":373},{"id":382,"depth":247,"text":383,"children":420},[421,422,423],{"id":386,"depth":254,"text":387},{"id":393,"depth":254,"text":394},{"id":400,"depth":254,"text":401},{"id":407,"depth":247,"text":408},"listicles","\u002Fblog\u002Fcovers\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons.png","2026-05-20","Master AI Video & Audio Tools for 2025 Content Creation The digital content landscape has shifted dramatically in the last twelve months, moving from...",{},"\u002Fblog\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons",{"title":292,"description":428},"blog\u002Fbest-ai-video-generators-2026-full-ranking-with-pros-and-cons",[434,435,436,437],"ai video","2026","comparison","ranking","nC9UTrgbe8Ht5z_mfcVRH-epyaMp_dDgRPQ1N_IkwJY",{"id":440,"title":441,"author":6,"body":442,"category":953,"cover":954,"date":955,"description":956,"extension":274,"locale":275,"meta":957,"navigation":277,"path":958,"readingTime":279,"seo":959,"stem":960,"tags":961,"__hash__":965},"blog\u002Fblog\u002F10-prompt-tips-for-better-ai-images.md","10 Prompt Tips for Better AI Images",{"type":8,"value":443,"toc":940},[444,447,450,453,457,460,474,477,481,484,504,518,522,525,528,572,578,582,585,623,630,634,637,640,672,678,682,685,688,720,726,730,733,750,761,765,768,771,797,802,806,809,837,844,848,851,868,871,885,889,892,937],[296,445,441],{"id":446},"_10-prompt-tips-for-better-ai-images",[11,448,449],{},"The difference between a mediocre AI image and a stunning one almost always comes down to the prompt. After generating tens of thousands of images across every model in Nexvy, we've distilled the most impactful techniques into these 10 tips — updated for the 2026 generation of models (Nano Banana Pro, GPT-5 Image, FLUX 2 Pro, Midjourney V7, Ideogram 3, Seedream 5).",[11,451,452],{},"Every example below is ready to paste into Nexvy. Where it matters, we note which model handles the prompt best.",[18,454,456],{"id":455},"_1-be-specific-about-what-you-want","1. Be Specific About What You Want",[11,458,459],{},"The single biggest improvement you can make is adding detail. Vague prompts give vague results.",[355,461,462,468],{},[39,463,464,467],{},[42,465,466],{},"Weak",": \"a house\"",[39,469,470,473],{},[42,471,472],{},"Better",": \"A Victorian-era townhouse with red brick facade, white trim around tall windows, wrought iron balcony on the second floor, autumn ivy climbing the left wall, overcast sky\"",[11,475,476],{},"Every detail you add gives the AI more to work with. Think about: subject, setting, time of day, weather, materials, colors, and style. Modern models (Nano Banana Pro, GPT-5 Image) can absorb 3–4 sentences of detail without losing coherence — older models like FLUX Schnell tend to drop tail details, so front-load the important ones.",[18,478,480],{"id":479},"_2-name-a-photography-or-art-style","2. Name a Photography or Art Style",[11,482,483],{},"Style references dramatically change the output. Instead of hoping the AI picks a good style, tell it exactly what you want:",[355,485,486,492,498],{},[39,487,488,491],{},[42,489,490],{},"Photography styles",": \"editorial fashion photography\", \"National Geographic wildlife shot\", \"street photography, Leica M11, 35mm\"",[39,493,494,497],{},[42,495,496],{},"Art styles",": \"oil painting in the style of the Dutch Golden Age\", \"minimal vector illustration\", \"Studio Ghibli watercolor\"",[39,499,500,503],{},[42,501,502],{},"Film looks",": \"shot on Kodak Portra 400\", \"Fujifilm Classic Chrome\", \"cinematic Arri Alexa look, Roger Deakins lighting\"",[11,505,506,507,237,510,513,514,517],{},"Mentioning a specific camera, film stock, or artistic movement gives the AI a concrete reference point. ",[42,508,509],{},"Nano Banana Pro",[42,511,512],{},"Midjourney V7"," are especially responsive to named photographers and DoPs; ",[42,515,516],{},"FLUX 2 Pro"," prefers gear-level specifics (sensor, lens, aperture) over named auteurs.",[18,519,521],{"id":520},"_3-describe-the-lighting","3. Describe the Lighting",[11,523,524],{},"Lighting is the single most important element in photography, and it's just as important in AI generation. Specifying lighting reshapes flat images into dramatic ones.",[11,526,527],{},"Useful lighting terms:",[355,529,530,536,542,548,554,560,566],{},[39,531,532,535],{},[42,533,534],{},"Golden hour"," — warm, directional sunlight",[39,537,538,541],{},[42,539,540],{},"Blue hour"," — cool, soft twilight",[39,543,544,547],{},[42,545,546],{},"Rim lighting"," — light from behind outlining the subject",[39,549,550,553],{},[42,551,552],{},"Rembrandt lighting"," — dramatic portrait lighting with a triangle of light on one cheek",[39,555,556,559],{},[42,557,558],{},"Soft diffused light"," — overcast sky, no harsh shadows",[39,561,562,565],{},[42,563,564],{},"Neon lighting"," — colorful, urban feel",[39,567,568,571],{},[42,569,570],{},"Volumetric lighting"," — visible light rays through fog or dust",[11,573,574,577],{},[42,575,576],{},"Example (works great on FLUX 2 Pro)",": \"Portrait of a jazz musician playing saxophone, dramatic Rembrandt lighting, smoke-filled room, volumetric light rays from a single overhead spotlight, shallow depth of field, shot on Hasselblad H6D, 80mm lens\"",[18,579,581],{"id":580},"_4-use-aspect-ratio-strategically","4. Use Aspect Ratio Strategically",[11,583,584],{},"Your aspect ratio isn't just a technical setting — it's a composition tool.",[355,586,587,593,599,605,611,617],{},[39,588,589,592],{},[42,590,591],{},"1:1"," (square) — Social media posts, product shots, profile images",[39,594,595,598],{},[42,596,597],{},"16:9"," (landscape) — Wallpapers, presentations, cinematic scenes",[39,600,601,604],{},[42,602,603],{},"9:16"," (portrait) — Phone wallpapers, Instagram Stories, TikTok thumbnails",[39,606,607,610],{},[42,608,609],{},"4:3"," — Classic photography feel",[39,612,613,616],{},[42,614,615],{},"3:2"," — Standard DSLR ratio, natural-looking photos",[39,618,619,622],{},[42,620,621],{},"21:9"," — Ultra-wide cinematic, panoramic landscapes",[11,624,625,626,629],{},"Match your aspect ratio to the intended use. A vertical portrait in 9:16 will look completely different from the same prompt in 16:9. ⚠ ",[42,627,628],{},"GPT-5 Image"," currently ignores aspect ratio and always returns 1024×1024 — for non-square output use Nano Banana Pro, FLUX 2 Pro, or Midjourney V7 instead.",[18,631,633],{"id":632},"_5-add-depth-and-layers","5. Add Depth and Layers",[11,635,636],{},"Flat images look AI-generated. Adding depth cues makes images more believable and visually interesting.",[11,638,639],{},"Include these in your prompts:",[355,641,642,648,654,660,666],{},[39,643,644,647],{},[42,645,646],{},"Foreground elements",": \"flowers in the foreground, slightly blurred\"",[39,649,650,653],{},[42,651,652],{},"Mid-ground",": your main subject",[39,655,656,659],{},[42,657,658],{},"Background",": \"distant mountains\", \"city skyline in the background\"",[39,661,662,665],{},[42,663,664],{},"Depth of field",": \"shallow depth of field, f\u002F1.4 bokeh\", \"tilt-shift miniature effect\"",[39,667,668,671],{},[42,669,670],{},"Atmospheric perspective",": \"misty mountains in the distance\", \"hazy horizon\"",[11,673,674,677],{},[42,675,676],{},"Example",": \"Coffee cup on a rustic wooden table in sharp focus, blurred cafe interior in the background with warm bokeh lights, a newspaper slightly out of focus in the foreground, shallow depth of field, f\u002F1.8, 50mm\"",[18,679,681],{"id":680},"_6-specify-the-mood-and-atmosphere","6. Specify the Mood and Atmosphere",[11,683,684],{},"Don't just describe objects — describe how the scene feels.",[11,686,687],{},"Mood keywords:",[355,689,690,696,702,708,714],{},[39,691,692,695],{},[42,693,694],{},"Warm",": cozy, inviting, nostalgic, intimate",[39,697,698,701],{},[42,699,700],{},"Cool",": professional, clean, modern, serene",[39,703,704,707],{},[42,705,706],{},"Dramatic",": intense, powerful, moody, cinematic",[39,709,710,713],{},[42,711,712],{},"Ethereal",": dreamy, soft, magical, otherworldly",[39,715,716,719],{},[42,717,718],{},"Gritty",": raw, urban, textured, documentary-style",[11,721,722,725],{},[42,723,724],{},"Example (Midjourney V7 loves this kind of prompt)",": \"Abandoned greenhouse overgrown with wild flowers, shafts of dusty sunlight streaming through broken glass roof, nostalgic and melancholic atmosphere, film photography aesthetic, slight grain, faded colors\"",[18,727,729],{"id":728},"_7-use-negative-context-what-not-to-show","7. Use Negative Context (What NOT to Show)",[11,731,732],{},"While Nexvy doesn't have a dedicated negative prompt field for most models, you can guide the AI away from unwanted elements directly in the prompt:",[355,734,735,738,741,744,747],{},[39,736,737],{},"\"Clean background, no clutter\"",[39,739,740],{},"\"Natural pose, not stiff or artificial\"",[39,742,743],{},"\"Realistic proportions, no distortion\"",[39,745,746],{},"\"Without text or watermarks\"",[39,748,749],{},"\"Simple composition, no busy patterns\"",[11,751,752,753,237,755,757,758,760],{},"This works especially well on ",[42,754,509],{},[42,756,628],{},", which handle natural-language constraints. ",[42,759,516],{}," is more literal — it sometimes treats \"no X\" as \"draw X anyway\", so prefer positive phrasing (\"clean background\" instead of \"no clutter\").",[18,762,764],{"id":763},"_8-think-about-color-palette","8. Think About Color Palette",[11,766,767],{},"Specifying colors creates cohesive, intentional-looking images.",[11,769,770],{},"Approaches:",[355,772,773,779,785,791],{},[39,774,775,778],{},[42,776,777],{},"Named palettes",": \"earth tones\", \"pastel colors\", \"monochromatic blue\"",[39,780,781,784],{},[42,782,783],{},"Specific colors",": \"deep teal and warm copper accents\"",[39,786,787,790],{},[42,788,789],{},"Color theory",": \"complementary orange and blue color scheme\"",[39,792,793,796],{},[42,794,795],{},"Reference-based",": \"muted Wes Anderson color palette\", \"cyberpunk neon palette\", \"Pantone 2026 Mocha Mousse and ivory\"",[11,798,799,801],{},[42,800,676],{},": \"Interior design concept for a modern living room, muted sage green and warm sand color palette, natural wood accents, soft linen textures, minimal decor, soft afternoon light through sheer curtains\"",[18,803,805],{"id":804},"_9-iterate-dont-perfectize","9. Iterate, Don't Perfectize",[11,807,808],{},"The most effective workflow isn't writing one perfect prompt — it's iterating quickly.",[36,810,811,818,821,824,827,830],{},[39,812,813,814,817],{},"Start with a basic prompt and a ",[42,815,816],{},"fast"," model (Nano Banana, FLUX Schnell)",[39,819,820],{},"Generate 2–3 variations",[39,822,823],{},"Identify what you like and what's missing",[39,825,826],{},"Add or modify details in the prompt",[39,828,829],{},"Generate again",[39,831,832,833,836],{},"Once the prompt is dialed in, switch to a ",[42,834,835],{},"premium"," model (Nano Banana Pro, FLUX 2 Pro, Midjourney V7) for the final render",[11,838,839,840,843],{},"This approach is dramatically faster and cheaper than trying to nail the perfect prompt on the first try with an expensive model. Use the ",[42,841,842],{},"\"Use prompt\""," button on any generation to copy and tweak.",[18,845,847],{"id":846},"_10-study-what-works","10. Study What Works",[11,849,850],{},"The Nexvy gallery is full of community creations. When you see an image you like:",[36,852,853,856,859,865],{},[39,854,855],{},"Click it to see the full prompt",[39,857,858],{},"Note the prompt structure and keywords used",[39,860,861,862,864],{},"Use ",[42,863,842],{}," to start from that base",[39,866,867],{},"Modify it for your own needs",[11,869,870],{},"Patterns you'll notice in great prompts:",[355,872,873,876,879,882],{},[39,874,875],{},"They front-load the most important elements",[39,877,878],{},"They specify style AND technical details",[39,880,881],{},"They include lighting and atmosphere",[39,883,884],{},"They're detailed but not overwhelming (2–4 sentences is the sweet spot for most modern models; Nano Banana Pro and GPT-5 Image can comfortably absorb more)",[18,886,888],{"id":887},"bonus-model-specific-tips-2026-edition","Bonus: Model-Specific Tips (2026 edition)",[11,890,891],{},"Different models respond best to different prompt styles. Quick cheatsheet:",[355,893,894,900,909,914,919,925,931],{},[39,895,896,899],{},[42,897,898],{},"Nano Banana Pro (Gemini 3 Pro)"," — Handles long, conversational, multi-clause prompts. Great for scenes with multiple subjects and explicit spatial relationships (\"on the left… in the background… holding…\"). Best general-purpose model in Nexvy.",[39,901,902,904,905,908],{},[42,903,628],{}," — Excels at prompts that include ",[42,906,907],{},"text to render"," (signs, posters, packaging) and at literal instruction-following. Always 1:1 output. Use for design mock-ups and anything where readable text matters.",[39,910,911,913],{},[42,912,516],{}," — Prefers clean, descriptive prompts loaded with gear-level photographic detail (lens, sensor, lighting). Very literal — say what you want, don't hint. Best for hyper-realistic photo work.",[39,915,916,918],{},[42,917,512],{}," — Responds beautifully to artistic and emotional language, references to photographers\u002Fdirectors\u002Fpainters, and adjective-heavy descriptions. Less literal, more interpretive — your prompt is a vibe brief.",[39,920,921,924],{},[42,922,923],{},"Ideogram 3"," — The model to reach for whenever text on the image matters (logos, posters, ads, packaging). Describe the text content explicitly in quotes and specify font feel (\"bold serif\", \"hand-lettered\").",[39,926,927,930],{},[42,928,929],{},"Seedream 5"," — Strong on stylized illustration, anime, and bold graphic looks. Reward it with style-anchor words (\"anime\", \"vector\", \"comic ink\", \"ukiyo-e\").",[39,932,933,936],{},[42,934,935],{},"FLUX Schnell"," — Your iteration workhorse. Cheap, fast, good enough for prompt scouting before you commit to a premium render.",[11,938,939],{},"Now open Nexvy and start experimenting. The best prompt engineer is the one who generates the most images — not the one who plans the longest.",{"title":221,"searchDepth":247,"depth":247,"links":941},[942,943,944,945,946,947,948,949,950,951,952],{"id":455,"depth":247,"text":456},{"id":479,"depth":247,"text":480},{"id":520,"depth":247,"text":521},{"id":580,"depth":247,"text":581},{"id":632,"depth":247,"text":633},{"id":680,"depth":247,"text":681},{"id":728,"depth":247,"text":729},{"id":763,"depth":247,"text":764},{"id":804,"depth":247,"text":805},{"id":846,"depth":247,"text":847},{"id":887,"depth":247,"text":888},"tips","\u002Fblog\u002Fcovers\u002F10-prompt-tips-for-better-ai-images.png","2026-05-13","Master the art of AI image prompts with 10 practical tips. Updated for 2026 with examples for Nano Banana Pro, GPT-5 Image, FLUX 2 Pro, Midjourney V7 and Ideogram 3.",{},"\u002Fblog\u002F10-prompt-tips-for-better-ai-images",{"title":441,"description":956},"blog\u002F10-prompt-tips-for-better-ai-images",[962,953,963,964],"prompts","image generation","techniques","Z9x4RM2oL8cnRogtanOX_u-VccITQTF9jjuU1rfoR3g",1779799291535]