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Explore AI generated designs, images, art and prompts by top community artists and designers.
photorealistic image A happy family in a cozy living room: a mother reading a book , a child playing on the floor , a grandmother drinking tea by the window. The windows are closed , but the room is fresh and bright. A compact breezer is barely visible on the wall. Style: warm realism , soft light , an atmosphere of comfort and safety ,
futuristic studious full - body humanoid robots with two huge round expressive sad purple glowing led eyes and glasses and open rectangular mouth sitting on a large comfortable cushioned vintage recliner reading an newspaper. vibrant color scheme , highly detailed , in the style of romanticism , cinematic , artstation , moebius , greg rutkowski ,
a girl reading a book , her hair flowing down , full shot , fine - face , realistic shaded perfect body , fine details. night setting. very anime style. realistic shaded lighting poster by ilya kuvshinov katsuhiro , magali villeneuve , artgerm , jeremy lipkin and michael garmash , rob rey and kentaro miura style , trending on art station ,
| 1 | Fox | Enchanted Forest | *A cute fox peacefully sleeping on soft moss in a glowing enchanted forest , with fireflies floating and magical light rays through the trees* | | 2 | Cat | Starry Terrace | *A fluffy kitten gazing at the stars from a dreamy balcony under a pastel sky , surrounded by sparkling constellations and soft clouds* | | 3 | Whale | Floating in Clouds | *A majestic whale swimming gently through a pastel-colored sky filled with soft clouds , golden sunlight and sparkles in the air* | | 4 | Rabbit | Flower Meadow | *A small white bunny hopping through a blooming spring meadow , pink petals flying around in warm sunlight , magical garden vibes* | | 5 | Deer | Moonlit Lake | *A gentle fawn standing quietly by a glowing lake under the full moon , reflected stars and misty surroundings , soft night light* | | 6 | Penguin | Arctic Stars | *A baby penguin sitting on glowing ice under an aurora-lit sky , surrounded by glittering snowflakes and dreamy starlight* | | 7 | Squirrel | Autumn Treehouse | *A cute squirrel reading a tiny book on the balcony of a wooden treehouse , surrounded by falling red leaves and warm evening tones* | | 8 | Bear | Cotton Candy Cloud | *A round teddy bear napping on a floating cotton candy cloud , dreamy pastels and sparkles surrounding a peaceful sky* | | 9 | Owl | Magic Library | *A wise baby owl reading a glowing floating book inside a magical forest library , illuminated by soft blue light and flying books* | | 10 | Hedgehog | Mushroom Village | *A tiny hedgehog with a satchel walking through a glowing mushroom village at dusk , fairy lights and fantasy details everywhere* | ,
cute blonde girl spreading legs , cinematic shot , dynamic lighting , 75mm , Technicolor , Panavision , cinemascope , sharp focus , fine details , 8k , HDR , realism , realistic , key visual , film still , cinematic color grading , depth of field , Overall , it's an absolute world-class cinematic masterpiece. It's an aesthetically pleasing cinematic shot with impeccable attention to detail and impressive composition. ,
Inside a state-of-the-art research facility , one of the towering , hyper-muscular blondes stands calmly under bright industrial lights , surrounded by a team of stunned scientists and technicians. She wears a reinforced custom sports bra and micro-shorts , still barely managing to contain her exaggerated curves and outrageously muscular form. Wires , sensors , and biometric pads line her biceps , chest , and quads — trying to capture data as she flexes for the assembled team. Behind her is a steel test rig rated for 10 tons — visibly trembling as she curls a solid 600-pound barbell like it’s made of foam. Her vascular , glistening biceps swell with every rep , stretching the skin like drumheads. Nearby monitors show numbers spiking beyond red zones , graphs crashing , and readings that no one has ever seen before. One screen simply flashes: **“ERROR — MAX LIMIT EXCEEDED”** The second woman stands off to the side , already tested and still cooling down , a towel slung over her mountainous shoulder. She watches her rival with crossed arms and a subtle , amused grin — waiting to see if the machines can handle her , too. The lab is a blend of ultra-modern science and disbelief. Crates of bent steel samples , cracked pressure pads , and failed grip test rigs line the walls. A group of scientists , some wide-eyed and others scribbling furiously , huddle near the data terminals. One whispers , “This can’t be real , ” while another simply stares , jaw slack. Shot on Canon EOS R5 and RED Komodo 6K , 35mm lens , ISO 100 , f/2.2 , cinematic industrial light temperature (cool white with warm highlights). 8K ultra-photorealistic , extreme detail in muscle strain , lab tech reflections , fabric tension , HDR lighting , sweat glisten , glowing monitor displays. --no cartoon , anime , stylization , nudity , blur , smoothing , distortions , uncanny rendering ,
Genera imágenes en referencia a este texto. My nuclear family is made up of my parents , my sister and me. It is a small circle , but very close and full of contrasts. Then there is the rest of my family , which includes my aunt , my uncle , my grandmother , my great-grandmother and also my great uncle. Although we are united by blood and , in some cases , by certain physical traits , I think that in terms of personality we are quite different from each other. It is interesting to observe how within the same family such opposite ways of being can coexist , as if each one were a world of its own. For example , something that both of us — I mean most of us — share is having light eyes , which comes from my grandmother’s side. It is like a distinctive brand that has passed from generation to generation. My mom has blue eyes , my uncle has green eyes , my aunt also has light eyes , and I have hazel eyes , which although they are not as light as theirs , still count as light eyes and contrast with the darker ones of other family members. Even my sister , who physically looks more like my dad , has darker eyes , so she’s not as light-eyed as I am. But even though we all have similar eyes , that doesn’t mean we’re both pretty alike in personality. When it comes to personality , I think I’m more serious than most of my family members. Some even say I’m the most bitter. I’m not very expressive with my emotions , and I prefer to stay out of things in social situations. My aunt is more cheerful than me — she’s always laughing , making jokes and spreading her energy to everyone. My mom is pretty cheerful too. We’re both pretty quiet when it comes to deeper emotions , but while she shows joy easily , I don’t. I sometimes wonder why I’m so different , but then I see my dad and I realize: we’re both pretty calm and reserved. In that way , I’m more like him than like my mom. My sister and I are very different. She’s more impulsive than me and acts without thinking a lot of the time. She’s flexible about things , but I’m not — I like to think before acting , plan ahead and stay organized , even if I sometimes forget things or don’t do everything perfectly. I always try to be responsible , but she’s not as responsible as I am. She’s carefree in a way I kind of admire , because it gives her a fresh way of being , even if it can be frustrating sometimes. We’re both pretty determined when we want something , but we go about it in totally different ways. Physically , I look more like my mom than anyone else in my family. Both of us are pretty fair-skinned , with curly hair and lighter eyes. My sister and my dad , on the other hand , are not as fair as we are — they both have darker complexions , straight hair and dark eyes. These physical traits really affect how people see us. When we go out as a family , people often say I’m more like my mom , while my sister is more like my dad. It’s almost as if we were two pairs within one family. Interestingly , even though there are big personality differences , sometimes we surprise each other by acting in similar ways. For example , my dad and I are both pretty quiet , but we end up having deep conversations without even planning them. It’s like we share an unspoken bond. My mom and my aunt are more forgiving than me — I’m not as forgiving as they are. They always manage to see the bright side of things. And even my sister , though she’s very impulsive , can sometimes be surprisingly practical in solving problems , while I’d spend a long time overthinking them. There’s also a strong generational contrast. My grandmother is very traditional — she’s not as open-minded as my aunt or my sister , who are more relaxed about modern ways of thinking. My great-grandmother is even more old-fashioned , and listening to her talk about the past really shows how much life has changed. We’re both pretty respectful of her experiences , even if we don’t always agree. These differences in age and mindset help us grow — we learn from each other even when we see things differently. In conclusion , even though we share a family history , physical features and blood ties , our personalities are full of contrast. Both of us — meaning all of us — share some similarities , like eye color or family habits , but I think I’m more serious , more structured and less flexible than others in my family. And I like that. The variety of personalities in my family makes us stronger , because each person brings something different , something unique that completes the rest. ,
“Create a vibrant , Instagram Reel-ready video (9:16 aspect ratio , 1080x1920 resolution , MP4 format , under 287.6 MB for iOS) for Sylvia’s Jamaican Restaurant at 105 Main St , Poughkeepsie , NY , teasing the ‘Hot Vybz Drink Line’ launch with a spicy challenge theme. The 15-second Reel starts at sunrise on the bustling block , showing the cozy brick storefront painted in warm red and green , a green sign reading ‘Sylvia’s Jamaican Restaurant’ in bold yellow letters , and Jamaican flags fluttering. Our all-attractive African American staff—mi link dem—stands outside , holding bottles of Scotch Bonnet Splash , Tamarind Ting Blaze , and Hibiscus Heat Wave , each with Sylvia’s logo in its unique style (red graffiti , neon yellow script , magenta cursive). They’re rocking T-shirts saying ‘I Survived Sylvia’s Hot Challenge , ’ laughing and dancing to a trending dancehall beat. The block’s 50/50 traffic picks up—cars honking , locals walking by , one shouting ‘Mi a forward!’ Inside , through the window , the warm interior shows a chesta draw with cerfiticates and a photo of Sister Nancy. Text overlay in neon yellow pops up: ‘Hot Vybz Coming Soon! 🇯🇲.’ End with a minimalist watermark in the bottom right: ‘SLIMGEMS MEDIA 2025’ in white with a black outline. Set it to a trending dancehall remix of ‘Bam Bam.’ The vibe is fiery , fun , and community-driven—a yasso nice launch!” ,
"A gothic , Tim Burton-inspired 2D digital illustration of a bearded man with exaggerated white eyes and a black baseball cap reading 'DOMINATION.' He has a pale , gaunt complexion , tattooed arms featuring colorful zombie and skull designs , and wears a sleeveless Megadeth 'Rust in Peace' shirt. His long black beard adds to his eerie appearance. His skin has deep scars , stitched wounds , and rotting , zombie-like decay , giving him a grotesque yet hauntingly expressive look. The background is a dark , swirling texture that enhances the gothic and eerie atmosphere. The art style is highly detailed , with sharp contrasts , thin elongated features , and a sinister yet melancholic vibe , characteristic of Tim Burton's aesthetic." ,
A vibrant retro '80s-inspired design featuring a glowing neon grid background with electric hues of pink , purple , and cyan. Include a digital sun setting behind wireframe mountains , with bold typography reading 'NEON DREAMS' in futuristic font. Add geometric shapes and subtle glitch effects for a nostalgic yet modern vibe." ,
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. ,
Wong Kar Wai movie , Mortal Kombat character , art by Diego Velázquez , art by Francis Bacon , art by Francis Bacon , spreading wings , suburban street , art by Paolo Uccello , hyper-realistic , art by Edvard Munch , backlit , bold and thin ink lines 8k , dramatic atmospheric lighting , art by Joseph-mallord William Turner , art by Claude Monet , 8K , platonic solids , art by Claude Monet ,
