Seedance 2.0 Just Changed Virtual Avatars Forever (This Is Wild)
Combining Claude‑driven prompt engineering with a modular AI video model lets filmmakers produce high‑quality clips efficiently while keeping credit spend predictable.
What this lesson covers
The creator walks through using Seedance 2.0 (C‑Dance 2.0) inside Higgsfield together with Claude to generate short AI videos, covering skill installation, reference asset preparation, prompt creation, and credit management. The tutorial emphasizes modular 8‑second segment generation to control costs and achieve precise storytelling.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:10 ↗
Claude is used to generate precise prompts for the C‑Dance 2.0 video model.
- 01:28 ↗
Installing the C‑Dance skill in Claude requires adding a .md file via the Customize → Skills menu.
- 02:08 ↗
The skill splits a 16‑second video into two 8‑second segments to reduce credit consumption.
- 04:19 ↗
Selecting resolution (720p vs 1080p) directly impacts credit cost (36 vs 72 credits).
- 06:21 ↗
Adding a personal voice recording ensures the final avatar speaks with the creator’s own audio rather than a synthetic voice.
Workflow outlined in the video
- Install the C‑Dance (Seedance) skill in Claude by uploading the provided .md file.
- Gather reference images and videos of your workspace and avatar.
- Create two 8‑second prompt segments using Claude’s skill to define scene and dialogue.
- Upload all reference assets to Higgsfield’s upload station and map them in the prompt box.
- Choose resolution and preview the generated segments, adjusting credits as needed.
- Record a personal voice clip if you want the avatar to use your own audio.
- Combine the generated segments into a final video and export for publishing.
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
624 views captured 22 October 2026. ReelStack recommendation score: 18/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 65% performance: 0.51× views vs 3 other channel videos observed at a similar age. View-evidence factor 38% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
- 10% engagement: 100/100; likes + 4× comments, smoothed with a 500-view neutral prior