How to Make AI Generated Videos: A Practical Guide — LiliDi Blog
Demystify how to make AI generated videos. This guide offers practical, no-hype insights into current AI video generation workflows, tools, and realistic expec…
By lilidi editorial
How to Make AI Generated Videos: A Practical Guide AI video generation has moved from science fiction to an increasingly accessible reality for creators, marketers, and artists. However, the online discourse is often skewed by sensational headlines and unrealistic expectations. This guide aims to cut through the noise, providing a practical, grounded understanding of how to make AI generated videos today, with a focus on current capabilities, workflows, and actionable advice. Understanding the Landscape of AI Video Generation Before diving into "how to," it's crucial to understand what AI video generation actually entails in its current state. It's not a magic button that instantly produces a Hollywood blockbuster from a single prompt. Instead, it's a set of powerful tools and techniques that assist in various stages of video creation. Key AI Video Generation Paradigms 1. Text to Video:
This is perhaps the most hyped area, where you input a text prompt, and the AI attempts to generate a video clip. Quality and coherence vary wildly based on the model and prompt complexity. 2. Image to Video: Starting with a static image, AI can animate it or generate short video sequences based on the image's content and an additional prompt. 3. Video to Video: AI can modify existing video footage, applying style transfers, changing elements, or interpolating frames. 4. Generative AI for Specific Elements: This includes AI for lip syncing, character animation, background generation, object removal, or even generating synthetic voices. 5. AI Assisted Editing: Tools that use AI to automate tasks like shot selection, color grading suggestions, or even generating rough cuts based on a script. The Workflow: How to Make AI Generated Videos Creating AI generated videos typically involves a
multi step process. Rarely is it a single shot generation. Think of AI as a powerful collaborator rather than a complete replacement for the creative process. Step 1: Conceptualization and Scripting Even with AI, a clear vision is paramount. What story are you trying to tell? What message do you want to convey? A well defined concept and a detailed script (even for short videos) will significantly improve your results. Define your narrative: What's the core idea? Outline scenes/shots: Break down your video into manageable segments. Write detailed prompts: The better your input prompts, the better the AI output. Specificity is key. For example, instead of "a dog playing," try "a golden retriever puppy joyfully chasing a red ball in a sunlit park, slow motion, cinematic lighting." Step 2: Choosing Your AI Tools The landscape of AI video tools is rapidly evolving. Your choice will depend on
your specific needs, budget, and desired output quality. Some popular categories and examples include: Text to Video Platforms: RunwayML, Pika Labs, Stability AI's Stable Video Diffusion (often integrated into other platforms or used via API). These are good for generating initial concepts or short, stylized clips. Image to Video and Animation Tools: Specific features within platforms like Midjourney with animation add ons (though primarily image focused), or tools dedicated to animating still images. AI for Specific Effects/Elements: Tools for deepfakes (use ethically and legally!), voice cloning (ElevenLabs), realistic avatars (HeyGen), or background removal (CapCut, DaVinci Resolve with AI features). Integrated Creative Suites: Some traditional video editing software are incorporating more AI features (e.g., Adobe Premiere Pro, DaVinci Resolve). When exploring options, particularly
for core generation, consider platforms like lilidi.ai. While focusing on high fidelity image generation, the underlying principles of clear prompting and realistic expectations apply to the video realm as well. Many platforms that excel at images are actively developing or integrating video capabilities. Step 3: Generating Initial Video Content This is where you feed your prompts into the chosen AI model. Expect an iterative process. Start simple: Begin with less complex prompts to understand the AI's capabilities. Generate multiple variations: Most tools will give you several options. Review them critically. Refine prompts: If the output isn't what you envisioned, adjust your prompt. Experiment with keywords, styles, camera angles, and movement descriptions. Consider "upscaling" and "outpainting" for video: Some tools allow you to enhance resolution or extend scenes using AI after
initial generation. Step 4: Editing and Post Production Raw AI generated footage, especially from text to video models, is seldom production ready. This is where traditional video editing skills become crucial. Trimming and splicing: Combine the best AI generated clips. Adding music and sound effects: Essential for mood and narrative. Voiceovers: Record your own or use AI voice generators. Visual consistency: AI can struggle with maintaining a consistent style or character across multiple shots. You might need to use traditional editing, color grading, and even additional AI tools to unify the look. Adding traditional footage: Often, the best AI videos blend AI generated elements with traditionally shot footage or stock media to fill gaps and enhance realism. Step 5: Iteration and Refinement No first draft is perfect, and AI video is no exception. Watch your edit, get feedback, and be
prepared to go back to previous steps. Re generate specific shots: If a particular scene isn't working, try generating new options with refined prompts. Experiment with different AI models: Don't limit yourself to one tool if another might handle a specific task better. Realistic Expectations and Current Limitations While AI video is powerful, it's important to manage expectations. Coherence and Consistency: Maintaining character consistency, object persistence, and logical motion across longer sequences remains a significant challenge for most generative AI models. Prompt Precision: Vague prompts lead to vague results. AI models excel with specific, descriptive input. Compute Intensive: Generating high quality video is computationally expensive, which translates to costs (subscription fees, credits) and time. Ethical Considerations: Be mindful of deepfakes, copyright, and bias in
training data. Use tools responsibly. Artistic Control: While AI offers new creative avenues, achieving precise artistic control can be more challenging than traditional methods, often requiring extensive prompt engineering and post production. Platforms like lilidi.ai prioritize the user's creative control and ethical use of generative AI. While specializing in image generation, their philosophy extends to video: providing tools that empower creators without sacrificing integrity or fostering unrealistic expectations. Future Outlook The field of AI video generation is advancing at an unprecedented pace. We can expect significant improvements in: Longer, More Coherent Sequences: Greater ability to maintain narrative and visual consistency over extended durations. Real time Generation: Faster processing and generation times. Integration with Traditional Tools: Seamless blending of AI
features into professional editing suites. Greater Granular Control: More intuitive ways for users to guide and refine AI outputs precisely. Conclusion Making AI generated videos is an exciting and rapidly evolving discipline. It demands a blend of creative vision, technical understanding, and patience. By approaching it with a practical mindset, understanding current limitations, and embracing an iterative workflow, you can effectively leverage these powerful tools to bring your visual stories to life. The key isn't to replace human creativity, but to augment it, pushing the boundaries of what's possible in video production. FAQ Q: Can AI generate a full movie from a script today? A: Not in the way we typically understand "a full movie" with consistent characters, complex plotlines, and high fidelity visuals throughout. Current AI excels at generating short clips, specific effects, or
assisting with elements. A full feature film remains far beyond its current capabilities without extensive human intervention. Q: Is AI video generation expensive? A: It can be. Many advanced AI video platforms operate on a credit or subscription model, where generating longer or higher quality videos consumes more resources. Free tiers often have significant limitations. Costs vary widely between tools. Q: Do I need coding skills to make AI generated videos? A: Generally, no. Most modern AI video generation tools are designed with user friendly graphical interfaces, allowing creators to input text prompts and adjust settings without writing any code. However, understanding basic prompting principles is crucial. Developers may use APIs for more custom integrations, but for the average user, it's a no code experience. Related on LiliDi How LiliDi compares to Midjourney How LiliDi compares
to Pika