AI Video Settings Guide: Resolution, Aspect Ratio & LoRA Tips

Beyond writing a strong prompt, your AI video output depends on technical settings: resolution, aspect ratio, performance mode, and — when available — LoRA models and trained words. This guide explains what each option does and how to pick settings that match your use case, whether you’re creating for social, ads, or other formats.

1. Resolution: 480p vs 720p

Most AI video tools let you choose output resolution. Common options include 480p and 720p. Higher resolution generally means sharper, more detailed video but longer generation time and higher compute use.

• 480p — Faster to generate, smaller file size. Good for quick iterations, previews, or when you plan to use the clip at small sizes (e.g. thumbnails, embedded social posts).
• 720p — Better for final deliverables, especially when the video will be viewed at larger sizes or on HD displays. Use when quality matters more than speed.

If your platform supports it, start at 480p to test prompts and composition, then switch to 720p for your final export. That workflow saves time while still giving you publication-ready quality when you need it.

480p3x4 • quality

Size: 624x832

Interpolation: Enabled

720p1x1 • quality

Size: 720x720

Interpolation: Enabled

2. Aspect Ratio: 1:1, 3:4, and 9:16

Aspect ratio defines the shape of your video. Picking the right one up front ensures your clip fits the platform and layout you’re targeting.

• •1:1 (square) — Works well for Instagram feed, Facebook, LinkedIn, and general-purpose use. Balanced frame that suits many contexts.
• •3:4 (portrait) — Slightly taller than square. Good for Instagram portrait posts, Pinterest, or when you want more vertical space without going full vertical.
• •9:16 (vertical) — Full vertical format for TikTok, Reels, Shorts, and mobile-first feeds. Maximizes screen real estate on phones.

Consider where your video will live before generating. A 9:16 clip is ideal for Reels and TikTok; 1:1 or 3:4 often works better for feed posts and ads. Some tools also offer landscape ratios (e.g. 16:9) for YouTube or web — use those when your distribution channel is horizontal.

3x4624x832

Resolution: 480p

1x1720x720

Resolution: 720p

9x16544x960

Resolution: N/A

3. Performance Mode: Quality vs Speed vs Express

Many AI video generators offer performance or quality modes. These trade off between generation speed and output quality:

• Express / Speed — Fastest generation. Useful for rapid experimentation and batch previews. Output may be slightly less refined.
• Quality — Slower but typically better detail, consistency, and motion. Best for final clips you plan to publish.

Use speed-oriented modes when you’re iterating on prompts and ideas; switch to quality when you’ve locked in the concept and want the best possible result.

4. Interpolation: Smoother Motion

Interpolation (or frame interpolation) adds extra frames between the ones the model generates. The result is smoother motion and less stutter, especially when the base frame rate is low. Enabling it can make clips feel more polished, but it may increase render time and file size.

Turn interpolation on for final exports where fluid motion matters — e.g. product shots, character movement, or marketing clips. You can leave it off during quick tests to save time.

5. Using LoRAs and Trained Words

Some AI video platforms support LoRA models (Low-Rank Adaptation). LoRAs are small add-on weights that specialize the model on certain styles, motions, or subjects. When you use a LoRA, you often need to include its trained words (trigger tokens) in your prompt — these tell the model when to apply that LoRA’s influence.

Each LoRA usually comes with a recommended weight (e.g. 0.2–1.6). Lower values apply the style lightly; higher values make it more dominant. Start with the LoRA’s default or suggested weight, then nudge up or down based on results. Too high can overwrite your prompt or create artifacts; too low may barely show the effect.

Always include the trained words exactly as documented for that LoRA. Omitting them can reduce or remove the LoRA’s effect. If you’re using multiple LoRAs, keep an eye on total “strength” — stacking several at high weights can lead to conflicting or noisy outputs.

LoRA: Handy Blowjob

Weight: 0.8

Trained Words:

bl0wj0bd0ub13_bj

Usage in Prompt:

<lora:wan_dr34mj0b_t2v_HD:0.8>

LoRA: Handy Blowjob

Weight: 0.8

Trained Words:

bl0wj0bd0ub13_bj

Usage in Prompt:

<lora:wan_dr34mj0b_t2v_HD:0.8>

6. Base Models: Wan, Hunyuan, and Others

Platforms may offer different base models (e.g. Wan, Hunyuan). Each has its own strengths: some excel at realistic motion, others at stylized or animated looks. LoRAs are often built for a specific base model, so check compatibility before using a LoRA.

If you’re unsure which base model to use, try the platform’s default first, then experiment with others when you need a different visual style or motion character.

Summary

To get better AI videos: match resolution to your needs (480p for tests, 720p for finals), choose the right aspect ratio for your platform (1:1, 3:4, or 9:16), use quality mode for final exports and speed for iteration, and enable interpolation when smooth motion matters. When using LoRAs, include their trained words and tune the weight carefully. Together, these settings help you produce AI video that looks good and fits your distribution channel.