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What to wear for modeling digitals

Keep Makeup to a Minimum Agents and scouts want to see the real you, so it is important to keep makeup to a minimum. Think of your face as a template. A little foundation, concealer, blush, mascara and lip gloss is all you need. Male models generally should not wear makeup, but a small amount of bronzer is alright as long as it's not noticeable.

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Your model release gives you permission to use these proofs however you see fit to promote yourself and your modeling business. WHAT ARE DIGITALS? Agencies will ask to see your "digitals," which are unedited pictures of you, usually photographed in natural light with little to no makeup or hair styling. Agencies want to see how you really look.

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It’s just an instant, raw, accurate representation of how the model photographs. No bells and whistles, just you. 1. Get Prepared. We don’t want to see how pretty you could be, we want to see how pretty you are! These makeunder tips will prepare you for your best digitals: · Take off the heavy makeup.

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How to take modeling digitals at home with some quick tips to stand out to agents and get signed quickly!.

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Include at least one headshot and a full length shot Keep makeup to a minimum Keep hairstyles simple and well groomed Keep clothing simple and in good taste Include a swimsuit photo if you are comfortable wearing a swimsuit Do not submit nude photos Fancy clothing and makeup is unnecessary for kids. They should look like regular kids. Usually model Polaroids / Digitals are simple clean photos taken against a white background, and the model will have a clean face with absolutely no makeup on. No posing or styling either, just the plain you! Your full body, face, and 3/4 profile are typically included in these digital/polaroid captures. Examples of model Polaroids / Digitals.


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Comprehensive breast cancer risk prediction models enable identifying and targeting women at high-risk, while reducing interventions in those at low-risk. Breast cancer risk prediction models used in clinical practice have low discriminatory accuracy (0.53-0.64). Machine learning (ML) offers an alternative approach to standard prediction >modeling</b> that may address current.

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