How to Generate Realistic Images Using Generative AI

How to Generate Realistic Images Using Generative AI

How to use generative AI to produce realistic photos

Images and photos with ever-greater realism and technical and artistic quality may now be created in seconds thanks to AI models for picture production models for picture production like Midjourney, Dall-E, or Bing/Copilot. Additionally, chemical photographic film has a significant impact on the final product of digital pictures created using generative AI in this creative process.

As a matter of fact, digital photography as it exists now is clearly influenced by photographic film. Many digital cameras, Instagram-style filters, or settings in picture editing software like Adobe Lightroom enable us to replicate the visual characteristics, flaws and all, of traditional photographic film.

Over the course of photographic history, millions of photos have been left with distinctive qualities by elements like the manufacturer of the film, its usage and technical specifications, the production process, or the materials and chemicals employed. characteristics that generative AI generated photos can have.

Identifying a kind of chemical film in generative AI makes it easier to create realistic and more natural-looking visuals. By utilizing the scene type and the most identifiable elements of that movie, you can also use it to create images in your own unique style or to have more control over the technical and artistic outcome.

Text commands, or prompts, are used by generative AI to produce digital graphics. It is possible to limit the reference models, indirectly demand a realistic picture type, and impact the style and aesthetics of the generated photographs to varying degrees by defining photographic film types in the prompt.

By mentioning chemical film styles, generative AI might avoid the need to describe other characteristics, such as colors and tones, saturation, grain, dynamic range and contrast, texture, and even the overall quality of the created picture, since they are implied in the specified film style.

Providing information about these and other factors (such as the kind of light or camera angle) is not required, but it does aid the model in interpreting the kind of image and improving its response to the request.

The appearance and outcome of photographs created using artificial intelligence can also be influenced by other traditional photography factors and camera settings in addition to the choice of photographic film:

ISO sensitivity: Using a high ISO in the prompt might lead to pictures that are grainier or noisier than ones that were taken in low light or with a high ISO.

Aperture: Using a large aperture, say f/2, at the prompt will probably result in pictures where the backdrop is blurry, highlighting the main subject. A tiny aperture, like f/11, on the other hand, will provide a flatter, more focused image overall and a deeper depth of field.

Shutter speed: Motion capture will be impacted by choosing a high or low shutter speed (or a numerical value). This can produce pictures that "capture" motion, as in a long exposure shot, or pictures that freeze the scene.

White balance and contrast: These settings also affect how the image looks. More yellow tones will result from a warm white balance, more blue tones from a cool white balance. While low contrast softens shadows and brightens highlights, high contrast creates darker shadows and brighter highlights.

Saturation and HDR: Colors with a high saturation level will be more vibrant and dramatic, whereas colors with a low saturation level will be duller. More detail in the highlights and shadows may be achieved with HDR.

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