silk muga 1

silk muga 1 is our expressive text-to-speech voice. you set the mood with one [tone] tag and drop in inline events like a laugh or a sigh. it’s tuned for short, natural, spoken delivery: reactions, banter, support replies, storytelling.

at a glance

field	value
model id	`muga`
language	english with romanised hinglish (latin script). write `kaise ho`, not `कैसे हो`. multilingual coming soon.
best for	short expressive lines: reactions, banter, support, storytelling
length	2 to 40 seconds per utterance
not for	devanagari input, or very long passages (past ~40s)

quickstart

one call, one .wav file:

curl -X POST https://silk-api.rumik.ai/v1/tts \
  -H "Authorization: Bearer rk_live_•••••••••" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "muga",
    "text": "[happy] <laugh> Yaar tumne phir wahi joke maara!",
    "temperature": 0.7
  }' \
  --output muga.wav

a request is a [tone], an optional <event>, and your words. the full request schema is in the API reference.

tones

six moods. pick by ear:

tone	tag	sounds like
neutral	`[neutral]`	flat, even, no affect
happy	`[happy]`	bright, smiling, mid-energy
excited	`[excited]`	loud, fast, pitch up
sad	`[sad]`	slow, breathy, low
angry	`[angry]`	tight, clipped, sharp
whisper	`[whisper]`	quiet, breathy, no voiced energy

parameters

muga is steered mainly by the tone tag in your text. it also accepts the shared sampling parameters:

field	default	notes
`text`	n/a	required. up to 2000 characters. must start with a `[tone]`.
`temperature`	`0.6`	set `0.7` for muga. most consistent run to run.
`top_p`	`0.95`	nucleus sampling
`top_k`	`50`	top-k sampling
`repetition_penalty`	`1.2`	penalise repeated tokens
`max_new_tokens`	`2048`	output length cap

→ to write good prompts, read the prompting guide.

documentation

SDK

integrations

cookbook

API reference

at a glance

quickstart

tones

parameters

​at a glance

​quickstart

​tones

​parameters

at a glance

quickstart

tones

parameters