How to Create Lifelike Humans Using Stable Diffusion

How to Create Lifelike Humans Using Stable Diffusion

One of the most sought-after applications of Stable Diffusion is creating lifelike human figures that are indistinguishable from actual photographs. This article will guide you through the process of crafting portraits that mimic the style of camera-captured images. It covers essential topics such as effective prompting techniques, selecting the right models, and utilizing upscalers to achieve the highest level of realism in generated human images.

Prompt:

In this segment, we'll explore the method of constructing a detailed and effective prompt for creating photo-realistic styles, proceeding step by step.

We begin with a basic example: a prompt depicting a woman sitting on a beach. For this illustration, we'll employ the SDXL base model as our foundation.

Prompt:

Photo of a lady, realistic hair, sitting on the beach, wearing a sundress

Model: SDXL base

Sampling method: DPM++ 2M Karras

Sampling steps: 30

CFG Scale: 9

Size: 1024x1024

Not bad, but it needs improvement...

Negative prompt

Now, let's incorporate a negative prompt into our scenario. This negative prompt will be deliberately minimalistic, designed specifically to enhance the anatomical accuracy of the image and to avoid any non-realistic styles in the final output.

Negative Prompt:

disfigured, ugly, bad, bad artist, cartoon, anime, 3d, painting, b&w, extra limbs

We're getting somewhere, but still requires work...

Lighting keywords

Much like in photography, where a significant aspect of the photographer's role is to establish effective lighting, the same principle holds true for Stable Diffusion. Good lighting is key to a compelling photo. To emulate this, let's enhance our prompt with specific lighting keywords and also include a term that dictates the viewing angle, thereby adding depth and realism to the image generated by Stable Diffusion.

Prompt:

Photo of a lady, with realistic hair, sitting on the beach, wearing a sundress, looking at the camera, studio lighting, masterpiece

Negative prompt:

disfigured, ugly, bad, bad artist, cartoon, anime, 3d, painting, b&w, extra limbs

The addition of specific lighting and viewing angle elements immediately lends more intrigue to the photos. If you observe that the anatomy isn't quite perfect, don't be concerned. There are several methods to correct this, and I will delve into these solutions in the later part of this article, guiding you on how to refine and perfect the anatomical details in your generated images.

Camera keywords:


Incorporating keywords such as 'DSLR', 'ultra quality', '8K', and 'UHD' can significantly enhance the quality of the images generated. These terms signal the Stable Diffusion model to focus on producing high-resolution, detailed, and crisp visuals akin to those captured with advanced photographic equipment.

Prompt:

Photo of a lady, realistic hair, sitting on the beach, wearing a sundress, looking at the camera, studio lighting, masterpiece, 8k, dslr, ultra quality, uhd, sharp, crystal clear

Negative prompt:

disfigured, ugly, bad, bad artist, cartoon, anime, 3d, painting, b&w, extra limbs

Getting there...

Face Details:

Lastly, the use of specific 'sweetener' keywords to describe features like eyes and skin can be particularly effective. These terms are intended to guide the Stable Diffusion model to render faces with increased realism, paying close attention to the finer details and textures that contribute to a more lifelike appearance.

Prompt:

Photo of a lady, realistic hair, sitting on the beach, wearing a sundress, looking at the camera, studio lighting, masterpiece, 8k, dslr, ultra quality, uhd, sharp, crystal clear, perfect face, glossy eyes, smooth skin

Negative prompt:

disfigured, ugly, bad, bad artist, cartoon, anime, 3d, painting, b&w, extra limbs

It's indeed impressive to see that the base model of Stable Diffusion is capable of generating such high-quality, realistic images. The fact that we haven't even utilized specialized photo-realistic models yet speaks volumes about the inherent capabilities of the base model. As we explore and integrate these advanced models, the quality and realism of the images are only expected to improve further.

Summary:

In conclusion, this exploration into Stable Diffusion demonstrates the remarkable potential of AI in generating lifelike human images. Starting with a basic prompt and progressively incorporating elements like negative prompts, lighting keywords, and viewing angles, we've seen a notable enhancement in the realism of the images. The addition of specific keywords for high resolution and detailed features like eyes and skin further elevates the quality. Impressively, all these achievements are made using just the base model, highlighting its robust capabilities. As we venture into using specialized photo-realistic models, the possibilities for creating even more refined and authentic images are vast. This journey underscores the evolving art of AI-generated imagery, promising a future where the lines between AI art and reality are increasingly blurred.

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PixelPirate

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