Fixed two-step MeanFlow dots.tts artifact exported from the interleave/TN
checkpoint-14000 base and the two-step student at step 70,000.
It preserves the base tokenizer, LLM, patch encoder, speaker encoder, AudioVAE,
and vocoder, and replaces only the 244-tensor DiT velocity-field predictor with
the two-step student.
The sampling contract is embedded in
config.json
and selected automatically.
Sampling options should be omitted. The artifact model weights are stored in BF16. The exact pre-conversion
FP32 artifact is preserved at
/newcpfs/user/jiatu/huggingface/dots.tts-mf-2steps-interleave-tn-fp32-backup-20260810
.
Use a dots.tts revision with native two-step support:
from dots_tts.runtime import DotsTtsRuntime
runtime = DotsTtsRuntime.from_pretrained(
"/newcpfs/user/jiatu/huggingface/dots.tts-mf-2steps-interleave-tn",
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. Exact provenance and checksums are recorded
in
artifact_manifest.json
and
SHA256SUMS
.
Runs of dots-studio dots.tts-mf-2steps-stts on huggingface.co
131
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24-hour runs
-23
3-day runs
-56
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