Fixed two-step MeanFlow dots.tts artifact. It keeps the dots.tts-soar tokenizer,
LLM, semantic encoder, speaker encoder, AudioVAE, and vocoder, and replaces only
the DiT velocity-field predictor with the two-step student.
The sampling contract is part of
config.json
and is selected automatically.
Sampling options should be omitted:
from dots_tts.runtime import DotsTtsRuntime
runtime = DotsTtsRuntime.from_pretrained(
"dots-studio/dots.tts-mf-2steps",
precision="bfloat16",
)
result = runtime.generate(text="Hello from two-step MeanFlow.")
Passing incompatible sampling values raises an error. Training-only auxiliary
tensors are intentionally omitted because they are not used by inference. Exact
internal build provenance and file checksums are recorded in
artifact_manifest.json
and
SHA256SUMS
.
Runs of dots-studio dots.tts-mf-2steps on huggingface.co
163
Total runs
-3
24-hour runs
-39
3-day runs
-56
7-day runs
34
30-day runs
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