# Cartoonish Style — VoiceNet dimension guide

*Category:* Speaking Style · *code:* `vn_S_CART` · *slot:* 91

This dimension measures how cartoonish and exaggerated the voice sounds. Merge the `__high` / `__low` LoRA from `laion/moss-voicenet-dimension-loras` at 25/50/75/100/125%. Costs are shifts vs. the 24-sample neutral baseline.

**TL;DR.** **Cartoonish Style** controls how cartoonish and exaggerated the voice sounds. The **__high** LoRA shifts it +0.40 at 125% (worst cost: burst-blend -0.32); the **__low** LoRA shifts it -0.15 at 50% (worst cost: burst-blend -0.04). The **__high** direction is the stronger, more reliable knob here.

## ▲ HIGH — Cartoonish Style __high

| dose | target | Δtarget | Δgenu | Δblend | Δqual |
|---|---|---|---|---|---|
| baseline (0%) | 0.434 | — | — | — | — |
| 25% | 0.455 | +0.02 | -0.01 | -0.04 | +0.06 |
| 50% | 0.510 | +0.08 | -0.06 | -0.20 | -0.02 |
| 75% | 0.734 | +0.30 | -0.09 | -0.37 | -0.01 |
| 100% | 0.825 | +0.39 | -0.08 | -0.42 | -0.18 |
| 125% ★ | 0.830 | +0.40 | -0.04 | -0.32 | -0.18 |

- **EmoNet emotion** — ↑ Triumph (+0.59), Elation (+0.52), Anger (+0.50); ↓ Contemplation (-0.55), Contentment (-0.49), Relief (-0.46)
- **VoiceNet dimension** — ↑ Roughness (+0.90), Dramatic Style (+0.85), Tension (+0.84); ↓ Warmth (-0.64), Vulnerability (-0.63), Teacher/Didactic Style (-0.54)

Merging **Cartoonish Style __high** ramps the dimension: at the recommended **125%** dose the measured Cartoonish Style score moves from a 0.43 baseline to 0.83 (a +0.40 shift). The dose-response is clean and monotonic — each step pushes the dimension further. That reach is a steep cost — the biggest hit is to **burst-blend** (-0.32); across the board genuineness -0.04, burst-blend -0.32, speech quality -0.18. Emotionally it reads as Triumph (r 0.59), Elation (0.52) and Anger (0.50), and it moves away from Contemplation, Contentment and Relief. On other voice dimensions it co-moves most with Roughness (0.90), Dramatic Style (0.85) and Tension (0.84), while pulling down Warmth, Vulnerability and Teacher/Didactic Style. Practical call: merge __high at **100–125%**; expect Triumph and Roughness to rise and burst-blend to fall. If you don’t want Triumph bleeding in, offset it with a prompt cue toward Contemplation to keep the cartoonish style shift without the side-effect.

## ▼ LOW — Cartoonish Style __low

| dose | target | Δtarget | Δgenu | Δblend | Δqual |
|---|---|---|---|---|---|
| baseline (0%) | 0.434 | — | — | — | — |
| 25% | 0.448 | +0.01 | -0.04 | -0.04 | +0.02 |
| 50% ★ | 0.289 | -0.15 | -0.03 | -0.04 | +0.06 |
| 75% | 0.507 | +0.07 | -0.05 | -0.01 | +0.11 |
| 100% | 0.366 | -0.07 | -0.06 | -0.06 | +0.15 |
| 125% | 0.333 | -0.10 | -0.08 | -0.04 | +0.10 |

- **EmoNet emotion** — ↑ Infatuation (+0.53), Interest (+0.51), Malevolence/Malice (+0.50); ↓ Concentration (-0.31), Embarrassment (-0.20), Emotional Numbness (-0.20)
- **VoiceNet dimension** — ↑ Roughness (+0.83), Dramatic Style (+0.74), Storytelling Style (+0.65); ↓ Valence (-0.57), Mask Resonance (-0.56), Conversational Style (-0.53)

Merging **Cartoonish Style __low** suppresses the dimension: at the recommended **50%** dose the measured Cartoonish Style score moves from a 0.43 baseline to 0.29 (a -0.15 shift). The dose-response is monotonic but it saturates early, so higher doses add little. That reach is nearly free — the biggest hit is to **burst-blend** (-0.04); across the board genuineness -0.03, burst-blend -0.04, speech quality +0.06. Emotionally it reads as Infatuation (r 0.53), Interest (0.51) and Malevolence/Malice (0.50), and it moves away from Concentration, Embarrassment and Emotional Numbness. On other voice dimensions it co-moves most with Roughness (0.83), Dramatic Style (0.74) and Storytelling Style (0.65), while pulling down Valence, Mask Resonance and Conversational Style. Practical call: merge __low at **25–75%**; expect Infatuation and Roughness to rise and burst-blend to fall. If you don’t want Infatuation bleeding in, offset it with a prompt cue toward Concentration to keep the cartoonish style shift without the side-effect.

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