初心者向けAI動画ジェネレーター：ここから始める
10分以内に最初のAI動画を作る初心者向けの道筋。5要素プロンプトの型、各設定の意味、出力が崩れる4つの原因とその直し方。
The fastest way to learn AI video generation is to generate one clip before you read anything else — including the rest of this page. Pick a concrete subject, describe it in one sentence, render five seconds. The feedback from that clip teaches more than any prompt guide, because you immediately see which part of your description the model honoured and which part it invented. This guide is the structure to put around that first attempt: the prompt formula, what each control does, and the four reasons output looks wrong.
Your First Clip in Under Ten Minutes
- Open AI Video Generator. Free signup credits, no card.
- Choose text-to-video for a first attempt — one input, fewer variables.
- Write one sentence using the formula below.
- Leave every setting at default except duration: 5 seconds.
- Generate, then watch it three times. First for the overall impression, then for the subject, then for the background. Those are three different judgements.
The Five-Clause Prompt Formula
Beginners fail in one of two directions: three words ("a cat running"), which leaves everything to the model, or a whole paragraph, which gives it contradictions to resolve. Five clauses is the working range — subject, action, setting, camera, light:
Example 1: "A ceramic coffee cup on a wooden table, steam rising slowly, quiet morning kitchen, camera pushes in gently, soft window light."
Example 2: "A red umbrella on a wet city street, rain falling steadily, empty pavement at night, camera drifts slowly to the right, neon reflections on the ground."
Example 3: "A pair of running shoes on a track, laces still swaying, empty stadium at dawn, static camera at ground level, cold blue light."
Notice what none of these do: they do not name a brand, ask for readable text, describe emotions, or specify more than one subject. All four of those are how beginners accidentally break a prompt.
What Each Control Actually Does
| Control | What it changes | Beginner setting |
|---|---|---|
| Model | Which engine renders — the biggest quality lever | Default; change only after 3–4 clips |
| Text vs image input | Whether the first frame is invented or supplied | Text first, image once you need control |
| Duration | Native clip length | 5s — error accumulates past that |
| Aspect ratio | Output canvas | 9:16 for social, 16:9 for web |
| Resolution | Output detail and credit cost | 1080p; 720p only for tests |
Text-to-Video or Image-to-Video?
Text-to-video invents the whole frame from your words: unpredictable composition, maximum creative freedom, ideal for learning. Image-to-video anchors the first frame to a picture you supply, which locks identity, product shape, and framing. Once you care about a specific thing looking correct — your product, your character — switch to image-to-video. You can generate that first frame in AI Image Generator, where iterating on a still is much cheaper than iterating on video. The mechanics behind both are explained in how text-to-video works.
The Four Reasons Your Output Looks Wrong
Almost every bad first clip traces to one of these. Fix one variable at a time — do not rewrite the whole prompt, or you will not learn which change mattered:
- Too many subjects. "A woman walking a dog past a cyclist while a bus goes by" asks the model to keep four things coherent. Cut to one subject and one action.
- Contradictory instructions. "Static camera, sweeping aerial move" or "dark moody scene, bright cheerful light". The model resolves conflicts arbitrarily, which reads as randomness.
- Requested readable text. Video models still garble type. Generate clean footage and add text in the edit — never in the prompt.
- Complex hand or finger motion. Hands are the second-hardest subject after faces. Simplify the action, or frame it so hands are not the focus.
How to Iterate Like Someone Who Knows What They Are Doing
- Change one clause. Same prompt, different camera movement. Now you know what camera language does on this model.
- Then change the model, not the prompt. Same words, different engine, and the difference you see is the model's bias — that is the single most useful thing to learn early.
- Keep what worked in a notes file. Prompts that landed are reusable assets; most people lose them and rewrite from scratch every time.
- Only then add complexity. Second subject, longer duration, more specific styling.
What It Costs to Learn
Free signup credits cover roughly the first dozen clips, which is about where the fundamentals click. Beyond that, cost is per clip, so you pay for production rather than for experimentation. Two habits keep the learning phase cheap: test at 5 seconds and lower resolution, then re-render the winner at full quality; and generate your first frame as a still image before committing to video. If you want the free-tier landscape in detail, see how to make AI videos for free and the honest take in no-watermark free generators.
Your First Week: A Concrete Plan
- Day 1: three clips, same subject, three different camera movements. Learn what the camera clause does.
- Day 2: same prompt on two different models. Learn what model choice does.
- Day 3: image-to-video from a still you generated. Learn what anchoring the first frame does.
- Day 4: three clips designed to cut together — same subject, same light, different angles. Learn continuity.
- Day 5: one finished short video with captions, published somewhere. Nothing teaches like shipping.
After that week, pick a direction: vertical social with the TikTok guide, no-camera content with the faceless guide, or model selection with the generator comparison.
Generate Your First Clip
Open AI Video Generator, paste one of the three formula examples above, set 5 seconds, and render. Then change exactly one clause and render again. That two-clip comparison is the entire beginning of the skill.
よくある質問
How do I start making AI videos as a complete beginner?
What makes a good first prompt?
Why does my AI video look wrong or distorted?
How much does it cost to learn AI video generation?
さらに読む
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