AI Image Generation Tutorial: Practical Guide for Better Results — Li…
Unlock the secrets to better AI image generation with this practical tutorial. Learn key techniques, prompt engineering, and common pitfalls to avoid for creat…
By lilidi editorial
AI Image Generation Tutorial: A Practical Guide for Better Results The landscape of AI image generation is evolving rapidly, offering incredible tools to bring your visual ideas to life. However, moving beyond basic prompts to consistently create high quality, specific images requires more than just typing a few words. This tutorial cuts through the hype to provide you with actionable strategies and a clear understanding of how to get better results from your AI image generators. We'll focus on practical techniques and demystify the process, ensuring you can apply these learnings regardless of the specific platform you're using. While interfaces and available models vary, the foundational principles of effective prompting and iterative refinement remain constant. Understanding the Core Mechanics of AI Image Generation Before diving into specific prompts, it's crucial to grasp what an AI
image generator is actually doing. It's not "understanding" in a human sense. Instead, it's interpreting your text input as a series of statistical relationships and patterns derived from the vast datasets it was trained on. Every word, every comma, and every negative prompt influences this interpretation. The Importance of Training Data Image generation models are trained on billions of image text pairs. When you ask for "a cat," the AI draws upon every instance of "cat" it has seen, along with its associated visual properties: fur, whiskers, eyes, shape, common poses, etc. The more specific your prompt, the more precisely you're guiding the AI through its learned associations. Latent Space and Iteration Think of the AI's internal world as a massive, multi dimensional "latent space" where similar concepts are grouped together. Your prompt acts like a set of coordinates, steering the AI
to a specific region within this space. Each generation is an iteration, refining the output based on the initial prompt and any subsequent modifications you make. Crafting Effective Prompts: Beyond the Basics Your prompt is the primary interface with the AI. A well constructed prompt is the difference between a generic output and a masterpiece. 1. Be Specific and Descriptive Avoid vague terms. Instead of "a house," try "a quaint Victorian house with a red roof, ivy creeping up the walls, surrounded by a lush green garden under a misty morning sky." Specify: Subject: What is the main focal point? Setting/Environment: Where is it located? What's the atmosphere? Style/Artistic Influence: Is it a photo, painting, 3D render? What artist or art movement should it evoke (e.g., "in the style of Vincent van Gogh," "cyberpunk aesthetic," "photorealistic")? Lighting: Morning, golden hour, neon,
dramatic, soft, ambient. Colors: Dominant colors, color palette (e.g., "monochromatic," "vibrant hues"). Composition/Angle: Close up, wide shot, bird's eye view, portrait orientation. 2. Use Keywords and Modifiers Wisely Keywords carry different weights for the AI. Experiment with adding and removing specific adjectives, adverbs, and nouns. For example: "Epic" vs. "grandiose" "Dreamlike" vs. "surreal" "Symmetrical" vs. "balanced" Many platforms recognize specific artists, art styles, camera types, and rendering engines. For photorealism, keywords like "8k, ultra detailed, photorealistic, cinematic lighting, professional photography" are common starters. 3. Leverage Negative Prompts Negative prompts tell the AI what not to include. This is invaluable for steering clear of unwanted elements, common artifacts, or stylistic choices you dislike. Common negative prompts include: ugly,
deformed, disfigured, poor quality, bad anatomy, missing limbs, extra limbs, blurry, out of focus, watermark, text, signature, low resolution, amateur For specific issues: cropped, grayscale, poor composition, bad hands (especially relevant for human figures). Adding negative considerations can significantly clean up an image generated through lilidi.ai or similar platforms. 4. Understand Weighting and Order (Platform Dependent) Some AI models allow you to "weight" parts of your prompt, making certain elements more dominant. This is often done with parentheses () or numerical values (e.g., (red:1.2) car ). Check your specific generator's documentation for how to implement this. Generally, words at the beginning of your prompt often have more influence. 5. Iteration and Refinement are Key Rarely will your first prompt yield a perfect result. AI image generation is an iterative process.
Observe what the AI gets right and what it gets wrong, then adjust your prompt accordingly. Too much noise? Add more descriptive details or negative prompts. Not the right style? Experiment with different artistic keywords. Lacking focus? Simplify your prompt to a core subject, then gradually add complexity. Generating unexpected elements? Pinpoint those elements and add them to your negative prompts. Practical Walkthrough: Generating a "Futuristic Cityscape" Let's apply these principles to a common generation goal. Initial Prompt (Too Broad): futuristic city Likely outcome: A generic image of tall buildings with some neon lights, but lacking personality or specific aesthetic. First Refinement (Adding Detail and Style): A sprawling cyberpunk city at night, rain slicked streets reflecting neon signs, towering skyscrapers, flying vehicles, vibrant purple and blue lighting, highly detailed,
photorealistic, UHD. Improvements: Introduced specific sub genre (cyberpunk), time of day, weather, lighting, details, and quality keywords. Second Refinement (Addressing Potential Issues and Adding Atmosphere): A sprawling cyberpunk city at night, rain slicked streets reflecting neon signs, towering chrome and glass skyscrapers piercing a dark sky, flying vehicles, intricate street level details, vibrant purple and blue lighting, volumetric fog, highly detailed, photorealistic, 8k, cinematic, professional photography. Negative prompt: ugly, deformed, blurry, low resolution, bad composition, text, watermark, cartoon. Further Improvements: Refined material descriptions (chrome and glass), added atmospheric elements (volumetric fog), bumped up resolution keywords (8k), and included a comprehensive negative prompt to eliminate common flaws. This level of detail is where tools like lilidi.ai
truly shine, allowing you to sculpt the image with precision. Common Pitfalls to Avoid Even with good prompting, certain issues crop up regularly. Vague Prompts As discussed, lack of specificity leads to generic or uninteresting results. Be surgical with your word choices. Over Prompting Sometimes, too many conflicting instructions can confuse the AI. If your prompt is a paragraph long and the results are chaotic, try simplifying it to a core idea, get a good base image, then gradually add complexity. Ignoring Negative Prompts This is often the reason for extraneous elements, deformities, or low quality textures. Make negative prompting a habit, especially for human figures or highly detailed scenes. Expecting Human Level Understanding The AI doesn't "know" what a "beautiful sunset" means in an emotional context. It only processes statistical associations. Break down abstract concepts
into tangible, visual descriptors. Copying Prompts Without Understanding While learning from others' prompts is excellent, simply copying and pasting without understanding why certain keywords are used will limit your own growth. Deconstruct effective prompts and see how they apply to your specific needs. Beyond Prompting: Other Key Factors Seed Values Many AI generators offer a "seed" value. This is a numerical identifier for the initial noise pattern from which an image is generated. Using the same seed with the same prompt will often generate very similar, if not identical, images (assuming other parameters are constant). This is invaluable for making small adjustments without entirely changing the image composition. Model Choice Different AI models (e.g., Stable Diffusion 1.5, SDXL, Midjourney) have distinct strengths and weaknesses. Some excel at photorealism, others at artistic
styles, and some are better with specific subjects like anatomy. Experiment with what's available on platforms like lilidi.ai to find the best fit for your vision. Iteration Parameters Parameters like "steps" (how many times the AI refines the image) and "CFG scale" (how strongly the AI adheres to your prompt) also play a significant role. Higher steps generally mean more detailed, refined images, but also longer generation times. A higher CFG scale means a stronger adherence to your prompt, but can sometimes lead to less creativity or artifacts if too high. Conclusion Mastering AI image generation is a journey of continuous learning and experimentation. By understanding the underlying mechanics, crafting specific and descriptive prompts, leveraging negative prompts, and embracing an iterative workflow, you'll move beyond basic outputs to consistently create compelling and precise
visuals. Practice these techniques, explore different platforms, and most importantly, have fun bringing your imagination to life. FAQ Q: Why do my AI generated human hands always look weird? A: Hands, especially realistic ones, are notoriously difficult for AI models due to their complex anatomy and varied poses in training data. Even advanced models struggle. To improve results, use specific negative prompts like bad hands, deformed fingers, extra fingers, missing fingers , try zooming in or out (close ups can make hand issues more obvious), or choose prompts where hands are less prominent. Q: How can I achieve a specific art style with AI? A: Research the artist or art movement you want to emulate and identify their key stylistic characteristics (e.g., "impressionistic brushstrokes," "cubist fragmentation," "art nouveau flowing lines"). Incorporate these descriptions directly into
your prompt, along with phrases like "in the style of [Artist Name]," or "inspired by [Art Movement]." Experiment with combinations. Q: Is there a universal "best" prompt for everything? A: No. The "best" prompt is always highly context dependent and tailored to your specific desired outcome. A prompt for a photorealistic landscape will be vastly different from one for a cartoon character. The principles outlined in this tutorial provide a framework, but the exact wording will always change based on your vision and the AI model you're using. Continuous experimentation is key. Errors and "bad" generations are part of the learning process. Save prompts that give you good results for future reference. Related on LiliDi How LiliDi compares to Midjourney