How to Make AI Videos for FREE (Unlimited Technique)

What this lesson covers

Youri van Hofwegen breaks down credit-saving strategies on BytePlus using Seedance 1.5 Pro, demonstrating how an image-first workflow and low-resolution testing minimize wasted generations. He details prompt structures for natural dialogue, preventing dual-speaker lip-sync glitches, and packing multi-shot scenes with hard cuts into single renders.

Key takeaways from the creator

AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.

1. 01:12 ↗

   Seedance 1.5 Pro offers a cost-effective quality balance over Seedance 2.5 for stretching free generation credits.

2. 01:23 ↗

   Starting from an uploaded image locks character facial features and lighting before running video generation, eliminating costly rerolls.

3. 01:50 ↗

   Keeping generation settings at 480p and one output per prompt avoids burning through credits during iteration phases.

4. 03:07 ↗

   Specifying English dialogue explicitly in the prompt prevents Chinese-developed video models from defaulting to Mandarin.

5. 05:23 ↗

   Adding the rule 'only one character's mouth moves at a time' and tagging dialogue by character prevents the model from animating both faces simultaneously in two-person shots.

6. 06:41 ↗

   Scripting explicit hard cuts and second-by-second timestamps into a single 10-second prompt produces three distinct camera angles within one generation.

Workflow outlined in the video

1. Set model parameters to 480p resolution and a single generation per prompt to minimize credit consumption during testing.
2. Upload an approved static reference image to anchor facial consistency and scene lighting before initiating motion.
3. Include physical environment details and subtle camera movement instructions like 'handheld breathing' while banishing static locked-off shots in the negative prompt.
4. Add an explicit prompt note confirming dialogue is in English when using models with foreign default languages.
5. Structure multi-character dialogue prompts by naming each speaker per line and giving the listening subject physical reactions.
6. Embed hard cut commands into a 10-second prompt timeline to generate multi-shot scene coverage inside a single video render.

Before you use this workflow

These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.

ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.

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How to interpret the numbers

26,606 views captured 28 September 2026. ReelStack recommendation score: 64/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.

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