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General introduction

In the fascinating world of artificial intelligence (AI), one of the most captivating advancements is the ability to generate images from textual descriptions. This process transforms a simple text prompt into a vivid, often lifelike image, using sophisticated AI models. Let's delve into the basic concept and the key parameters that shape this process, making it accessible even to beginners who have never generated an AI image before.

From Text to Image

At the heart of AI image generation is the text prompt. This prompt is essentially a detailed description of what you want the image to depict. The AI uses this description as a guide to create a visual representation. For example, if you input "a sunny beach with palm trees," the AI will generate an image that matches this description as closely as possible.

Key Parameters in AI Image Geneartion

Understanding the key parameters helps tailor outputs to your vision.

Text Prompt

The description guiding what the AI generates. Precise prompts yield more accurate images.

Negative Prompt

Specifies what the image should not include, refining the output by eliminating undesired elements. 

Image Size

Determines the output's dimensions. Larger sizes offer more detail, while smaller sizes are quicker to generate.

Guidance Scale

djusts the AI's adherence to the prompt. Higher values produce images closer to the prompt, while lower values encourage creativity.

Seed

A numerical value controlling randomness. The same seed and prompt combination produces identical images. This allows the exploration of variations by changing the seed value while keeping the prompt.

How to write the perfect prompt

Creating the perfect prompt for AI image generation involves a blend of clarity, detail, and structure. Here’s a guide on crafting effective prompts, divided into sections for easy understanding.

1. Structure of the Prompt

Starting Strong: Begin with the overall scene or main subject. This sets the stage for the details that follow. For example, "A knight standing in a moonlit forest" provides a clear starting point.

Adding Details: After establishing the main subject, incorporate details about the environment, the subject's appearance, posture, and any specific actions. Specify the time of day, weather, and any relevant objects or creatures in the scene.

2. Influencing Clothing and Posture

Clothing: Be specific about the style, era, and details of clothing. Use adjectives and references to well-known styles (e.g., "Victorian-era dress with lace trimmings") to guide the AI.

Posture: Describe the posture by mentioning specific actions or positions (e.g., "sitting cross-legged", "arms raised in triumph"). Clear descriptions of posture help in generating natural, dynamic poses.

3. Enhancing the Environment

Environmental Details: Include descriptions of the setting that influence mood and context (e.g., "under a stormy sky", "surrounded by towering skyscrapers"). Mentioning light sources, such as "bathed in the golden light of sunset", can also guide the AI in creating a more atmospheric image.

Contextual Elements: Adding contextual details (e.g., "a bustling medieval market", "a serene and misty lake") can enrich the background and make the scene more immersive.

4. Fixing Disfigured Anatomy

Anatomical Accuracy: If you notice issues with anatomy in generated images, use more precise descriptions for the affected areas. For example, "hands delicately holding a rose, with fingers clearly defined". You may also direct the AI's attention to certain areas by adding 'detailed face, detailed eyes' to your prompt. Also you can add some things you dont want to see to your negative prompt like: 'Disfigured hands, bad hands, bad anatomy'

5. Using Negative Prompts

Avoiding Unwanted Elements: Clearly state what you do not want in the image (e.g., "no modern buildings", "without any animals"). This helps in refining the output to match your vision.

Correcting Common Mistakes: If the AI frequently makes specific errors (like adding extra limbs), use the negative prompt to directly address these issues (e.g., "no extra limbs").

Detailed explanation of AI image generation Parameters

The Prompt

This is like giving instructions or a description to the AI about what you want to see in the image. For example, if you say "a cat sitting on a sunny beach," the AI tries to create just that. Start with a short and clear prompt and develop it further by adding more details.

The Negative Prompt

This is the opposite of a prompt. It tells the AI what you do NOT want in the image. If you don't want any people in your beach scene, you could use a negative prompt like "no people."

Sampling Steps

Think of "sampling steps" as the number of tries the AI gets to refine or improve the picture it's drawing for you. When the AI starts creating an image based on your prompt, it doesn't get everything right on the first try. So, it goes through the image multiple times, making little adjustments each time to get closer to what you asked for. Sometimes a lower number of sampling steps might be better because sometimes ti AI tends to overefine the image. Numbers 50 to 90 tend to give best results.

Image Size

This is about how big or what shape the picture is. The size can be square, wide, or tall. It's important because the size should match the scene you're imagining. For a wide beach scene, a wide image works best. For a full-body portrait of someone, a tall image might be better. Also you will get different images when changing the resolution without changing the aspect ratio! 

Guidance Scale

 Think of this as telling the AI how closely to follow your instructions. A higher number means the AI will try very hard to make exactly what you described, but it might also make the image look a bit strange. A lower number means the AI might not follow your instructions as closely, but the image might look more natural.

The Seed

This is a bit like a recipe number for making your image. If you use the same seed number again with the same instructions, the AI will make the same image again. Use the same image creation parameters with different seeds to create variations of the same image. Our system offers a batch creation option where it keeps the creation parameters and combines these parameters with different seeds.