AI Image Prompts for War
Explore AI generated designs, images, art and prompts by top community artists and designers.
A warm and cozy family scene inside a charming steampunk-inspired home. A father , mother , and three children—Boris , Ariana , and Liana—are together in their living room. The room has floating lanterns , mechanical clocks , and bookshelves filled with old tomes and trinkets. The atmosphere is inviting , filled with warm light and intricate details , resembling a classic children's book illustration. ,
(by Ananta Mandal (and Andrew Biraj:0.5)) , (in the style of nihonga) , Style: Abstract , Medium: Digital illustration , Subject: An otherworldly landscape with floating islands , cascading waterfalls , and vibrant flora and fauna. Camera Angle: Overhead shot capturing the vastness and intricate details of the scene. The colors are saturated , and the lighting creates a warm and ethereal atmosphere. The painting is highly detailed , with every brushstroke capturing the complexity of the imaginary world. , (high quality) , (detailed) , (masterpiece) , (best quality) , (highres) , (extremely detailed) , (8k) ,
mdjrny-v4 style portrait photograph of shakira Beer as viuda negra , young beautiful native american woman , perfect symmetrical face , feather jewelry , traditional handmade dress , armed female hunter warrior , (((wild west))) environment , Utah landscape , ultra realistic , concept art , elegant , ((intricate)) , ((highly detailed)) , depth of field , ((professionally color graded)) , 8k , art by artgerm and greg rutkowski and alphonse mucha ,
mdjrny-v4 style portrait photograph of shakira as Pocahontas , young beautiful native american woman , perfect symmetrical face , feather jewelry , traditional handmade dress , armed female hunter warrior , (((wild west))) environment , Utah landscape , ultra realistic , concept art , elegant , ((intricate)) , ((highly detailed)) , depth of field , ((professionally color graded)) , 8k , art by artgerm and greg rutkowski and alphonse mucha ,
mdjrny-v4 style portrait photograph of Madison Beer as Pocahontas , young beautiful native american woman , perfect symmetrical face , feather jewelry , traditional handmade dress , armed female hunter warrior , (((wild west))) environment , Utah landscape , ultra realistic , concept art , elegant , ((intricate)) , ((highly detailed)) , depth of field , ((professionally color graded)) , 8k , art by artgerm and greg rutkowski and alphonse mucha ,
An eerie and captivating death metal artwork by endikull , where themes of World War 2 , the Japanese invasion of Tanah Jarawa , Java horror , and Java mysticism merge into a hauntingly beautiful masterpiece. The foreground features a horde of demonic creatures , each with its own distinct design and expression , adding to the overall unsettling atmosphere. A central figure , possibly a warlord or demon king , looms large with a menacing scythe in hand , casting a dark shadow over the scene. The background showcases a dark , stormy sky , with a setting sun that intensifies the ominous ambiance. The artwork is impeccably rendered in the mesmerizing ukiyo-e style , characterized by bold , sweeping lines and striking contrasts between light and shadow. The intricate typography and 3D elements further enhance the depth and detail of the , photo , ukiyo-e , poster , typography , 3d render , illustration ,
An eerie and captivating death metal artwork by endikull , where themes of World War 2 , the Japanese invasion of Tanah Jawa , Java horror , and Java mysticism merge into a hauntingly beautiful masterpiece. The foreground features a horde of demonic creatures , each with its own distinct design and expression , adding to the overall unsettling atmosphere. A central figure , possibly a warlord or demon king , looms large with a menacing scythe in hand , casting a dark shadow over the scene. The background showcases a dark , stormy sky , with a setting sun that intensifies the ominous ambiance. The artwork is impeccably rendered in the mesmerizing ukiyo-e style , characterized by bold , sweeping lines and striking contrasts between light and shadow. ,
This cozy living room on a space ship features a large , oval-shaped window that offers a stunning view of the earth below. The furniture is warm and inviting , with a plush sofa and armchair upholstered in a rich , burgundy fabric. A wooden coffee table sits at the center of the room , and a few potted plants add a touch of greenery. A cozy fireplace , complete with a faux stone mantel and a flickering LED flame , adds a touch of warmth and comfort. A few framed photos of the earth and the stars hang on the walls , adding a personal touch ,
The wedding scene in my heart is set in an outdoor garden bathed in warm sunshine , where under a floral-adorned arch , the bride and groom walk hand in hand , their faces beaming with radiant smiles. Guests , dressed in formal attire , are seated around beautifully decorated long tables , as the air is filled with the scent of love and gourmet delicacies. As soft music plays , the couple exchanges vows , pledging eternal commitments , moving everyone present and serving as a collective witness to this beautiful moment. ,
fantasy , warrior , female , long brown hair , purple eyes , violet eyes , intricate light armor , hyper realistic , 3D , elegant , mysterious , sultry , strong , silver hair , braided silver hair ,
Fairness means ensuring your analysis doesn't create or reinforce bias. This can be challenging , but if the analysis is not objective , the conclusions can be misleading and even harmful. In this reading , you’re going to explore some best practices you can use to guide your work toward a more fair analysis! Consider fairness Following are some strategies that support fair analysis: Best practice Explanation Example Consider all of the available data Part of your job as a data analyst is to determine what data is going to be useful for your analysis. Often there will be data that isn’t relevant to what you’re focusing on or doesn’t seem to align with your expectations. But you can’t just ignore it; it’s critical to consider all of the available data so that your analysis reflects the truth and not just your own expectations. A state’s Department of Transportation is interested in measuring traffic patterns on holidays. At first , they only include metrics related to traffic volumes and the fact that the days are holidays. But the data team realizes they failed to consider how weather on these holidays might also affect traffic volumes. Considering this additional data helps them gain more complete insights. Identify surrounding factors As you’ll learn throughout these courses , context is key for you and your stakeholders to understand the final conclusions of any analysis. Similar to considering all of the data , you also must understand surrounding factors that could influence the insights you’re gaining. A human resources department wants to better plan for employee vacation time in order to anticipate staffing needs. HR uses a list of national bank holidays as a key part of the data-gathering process. But they fail to consider important holidays that aren’t on the bank calendar , which introduces bias against employees who celebrate them. It also gives HR less useful results because bank holidays may not necessarily apply to their actual employee population. Include self-reported data Self-reporting is a data collection technique where participants provide information about themselves. Self-reported data can be a great way to introduce fairness in your data collection process. People bring conscious and unconscious bias to their observations about the world , including about other people. Using self-reporting methods to collect data can help avoid these observer biases. Additionally , separating self-reported data from other data you collect provides important context to your conclusions! A data analyst is working on a project for a brick-and-mortar retailer. Their goal is to learn more about their customer base. This data analyst knows they need to consider fairness when they collect data; they decide to create a survey so that customers can self-report information about themselves. By doing that , they avoid bias that might be introduced with other demographic data collection methods. For example , if they had sales associates report their observations about customers , they might introduce any unconscious bias the employees had to the data. Use oversampling effectively When collecting data about a population , it’s important to be aware of the actual makeup of that population. Sometimes , oversampling can help you represent groups in that population that otherwise wouldn’t be represented fairly. Oversampling is the process of increasing the sample size of nondominant groups in a population. This can help you better represent them and address imbalanced datasets. A fitness company is releasing new digital content for users of their equipment. They are interested in designing content that appeals to different users , knowing that different people may interact with their equipment in different ways. For example , part of their user-base is age 70 or older. In order to represent these users , they oversample them in their data. That way , decisions they make about their fitness content will be more inclusive. Think about fairness from beginning to end To ensure that your analysis and final conclusions are fair , be sure to consider fairness from the earliest stages of a project to when you act on the data insights. This means that data collection , cleaning , processing , and analysis are all performed with fairness in mind. A data team kicks off a project by including fairness measures in their data-collection process. These measures include oversampling their population and using self-reported data. However , they fail to inform stakeholders about these measures during the presentation. As a result , stakeholders leave with skewed understandings of the data. Learning from this experience , they add key information about fairness considerations to future stakeholder presentations. ,
Hyper-realistic , front-view close-up portrait of a furious Viking bursting into flames , smoke , embers , (symmetrical composition) , (eye contact) , epic , celestial , moody , cinematic lighting , lens flare , highly detailed , sharp focus , octane render , HDRI , intense , dramatic , warm colors , fiery effect , professional , 35mm , 8k , IMAX , (mouth closed) , viking helmet on his head , dark studio , low key , high contrast , dark background , flawless detail , award-winning , expertly crafted , detailed pupils , unreal engine ,
Hyper-realistic , front-view close-up portrait of a furious Viking bursting into flames , smoke , embers , (symmetrical composition) , (eye contact) , epic , celestial , moody , cinematic lighting , lens flare , highly detailed , sharp focus , octane render , HDRI , intense , dramatic , warm colors , fiery effect , professional , 35mm , 8k , IMAX , (mouth closed) , viking helmet on his head , dark studio , low key , high contrast , dark background , flawless detail , award-winning , expertly crafted , detailed pupils , unreal engine ,
Hyper-realistic , front-view close-up portrait of a furious Viking bursting into flames , smoke , embers , (symmetrical composition) , (eye contact) , epic , celestial , moody , cinematic lighting , lens flare , highly detailed , sharp focus , octane render , HDRI , intense , dramatic , warm colors , fiery effect , professional , 35mm , 8k , IMAX , (mouth closed) , viking helmet on his head , dark studio , low key , high contrast , dark background , flawless detail , award-winning , expertly crafted , detailed pupils , unreal engine ,