Instructions to use AlicanKiraz0/Kizagan-TTS-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VoxCPM
How to use AlicanKiraz0/Kizagan-TTS-v1.0 with VoxCPM:
import soundfile as sf from voxcpm import VoxCPM model = VoxCPM.from_pretrained("AlicanKiraz0/Kizagan-TTS-v1.0") wav = model.generate( text="VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly expressive speech.", prompt_wav_path=None, # optional: path to a prompt speech for voice cloning prompt_text=None, # optional: reference text cfg_value=2.0, # LM guidance on LocDiT, higher for better adherence to the prompt, but maybe worse inference_timesteps=10, # LocDiT inference timesteps, higher for better result, lower for fast speed normalize=True, # enable external TN tool denoise=True, # enable external Denoise tool retry_badcase=True, # enable retrying mode for some bad cases (unstoppable) retry_badcase_max_times=3, # maximum retrying times retry_badcase_ratio_threshold=6.0, # maximum length restriction for bad case detection (simple but effective), it could be adjusted for slow pace speech ) sf.write("output.wav", wav, 16000) print("saved: output.wav") - Notebooks
- Google Colab
- Kaggle
Rename Kahya/Akahya -> Kızagan in model card, notice, inference script, manifests; re-add image as Kizagan-TTS.png
a22aac8 verified | { | |
| "schema_version": 1, | |
| "release": "AlicanKiraz0/Kizagan-TTS-v1.0", | |
| "measurement_scope": { | |
| "status": "source_derived_frozen", | |
| "model": "step1500", | |
| "model_repo": "AlicanKiraz0/Kizagan-TTS-step_1500", | |
| "model_revision": "458112a0fc3d850de38951796290e48ef710bc26", | |
| "source_commit": "f772e498a45fbb5fb8e13fbf9b9c48be9fe33e69", | |
| "protocol_sha256": "2f45c9f8e6de60d5034849050cb35d6eeeccd69cfb15bc66cb384dc119b7421c", | |
| "runner_sha256": "4e2ffc2efa2b81db94818b118e0bd407ce6d7aa88c14dba16997fc54d7f8545e", | |
| "reference": { | |
| "id": "r2", | |
| "sha256": "5f36097c430ae461dc55d76ebe4ef897442e5a34f19c48cfdb9e909afd85c18d", | |
| "duration_s": 6.175, | |
| "header_duration_s": 6.175, | |
| "manifest_cut_duration_s": 6.175, | |
| "sample_rate_hz": 24000, | |
| "channels": 1 | |
| }, | |
| "source_artifacts": { | |
| "cases": "analysis/naturalness/longform_replication/cases.jsonl", | |
| "gpu_records": "analysis/naturalness/longform_replication/gpu/records.jsonl", | |
| "gpu_run": "analysis/naturalness/longform_replication/gpu/run.json", | |
| "assembly_offsets": "analysis/naturalness/longform_replication/assembly/offsets.json", | |
| "asr_scores": "analysis/naturalness/longform_replication/asr/scores.json", | |
| "asr_settings": "analysis/naturalness/longform_replication/asr/settings.json", | |
| "human_summary": "analysis/naturalness/longform_replication/human/response_02/summary.json" | |
| } | |
| }, | |
| "runtime": { | |
| "device": "cuda", | |
| "gpu": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition", | |
| "dtype": "bfloat16", | |
| "streaming": true, | |
| "seed": 42, | |
| "cfg": 2.0, | |
| "timesteps": 16, | |
| "output_sample_rate_hz": 48000, | |
| "timing_excludes": [ | |
| "file_io", | |
| "model_load", | |
| "inter_call_gaps", | |
| "assembly" | |
| ], | |
| "timing_note": "The sentence-reset aggregate is sum(elapsed_s) / sum(duration_s) across calls. It is not end-to-end service latency.", | |
| "warmup_note": "The library whole-call row was the first model call in the process; remaining rows were warm. First-chunk figures exclude model load and are not a matched warmup-latency comparison." | |
| }, | |
| "performance": [ | |
| { | |
| "case_id": "longrep_01", | |
| "label": "library", | |
| "word_count": 151, | |
| "sentence_count": 12, | |
| "whole_call": { | |
| "audio_duration_s": 59.04, | |
| "elapsed_s": 21.778395, | |
| "rtf": 0.368875, | |
| "first_chunk_e2e_s": 0.582673, | |
| "peak_allocated_mib": 5638.327, | |
| "peak_reserved_mib": 5978.0 | |
| }, | |
| "sentence_reset": { | |
| "segments": 12, | |
| "audio_duration_sum_s": 68.16, | |
| "elapsed_sum_s": 24.521308, | |
| "aggregate_elapsed_over_audio": 0.359761, | |
| "first_segment_first_chunk_e2e_s": 0.062772, | |
| "peak_allocated_mib": 5750.052, | |
| "peak_reserved_mib": 6114.0 | |
| } | |
| }, | |
| { | |
| "case_id": "longrep_02", | |
| "label": "platform", | |
| "word_count": 149, | |
| "sentence_count": 13, | |
| "whole_call": { | |
| "audio_duration_s": 59.36, | |
| "elapsed_s": 21.451940, | |
| "rtf": 0.361387, | |
| "first_chunk_e2e_s": 0.067999, | |
| "peak_allocated_mib": 5749.552, | |
| "peak_reserved_mib": 6114.0 | |
| }, | |
| "sentence_reset": { | |
| "segments": 13, | |
| "audio_duration_sum_s": 66.72, | |
| "elapsed_sum_s": 24.042400, | |
| "aggregate_elapsed_over_audio": 0.360348, | |
| "first_segment_first_chunk_e2e_s": 0.067221, | |
| "peak_allocated_mib": 5750.052, | |
| "peak_reserved_mib": 6114.0 | |
| } | |
| } | |
| ], | |
| "asr": { | |
| "method": "faster-whisper-large-v3-turbo", | |
| "repo": "mobiuslabsgmbh/faster-whisper-large-v3-turbo", | |
| "revision": "0a363e9161cbc7ed1431c9597a8ceaf0c4f78fcf", | |
| "model_provenance_sha256": "57039e87eae24b070400ee959e1c0222982e8188f9113f8415dcdfb7215156c4", | |
| "language": "tr", | |
| "normalization": "Turkish I->ı, İ->i; Unicode punctuation/symbols to spaces; whitespace collapsed", | |
| "word_error_counts": [ | |
| {"case_id": "longrep_01", "variant": "whole_call", "errors": 1, "reference_words": 151, "wer": 0.006623}, | |
| {"case_id": "longrep_01", "variant": "sentence_reset", "errors": 0, "reference_words": 151, "wer": 0.0}, | |
| {"case_id": "longrep_02", "variant": "whole_call", "errors": 2, "reference_words": 149, "wer": 0.013423}, | |
| {"case_id": "longrep_02", "variant": "sentence_reset", "errors": 2, "reference_words": 149, "wer": 0.013423} | |
| ] | |
| }, | |
| "human_one_user": { | |
| "respondents": 1, | |
| "trials": 2, | |
| "scale": "1-5", | |
| "ratings": [ | |
| {"case_id": "longrep_01", "sentence_reset": {"naturalness": 5, "similarity": 5}, "whole_call": {"naturalness": 1, "similarity": 1}}, | |
| {"case_id": "longrep_02", "sentence_reset": {"naturalness": 4, "similarity": 5}, "whole_call": {"naturalness": 1, "similarity": 1}} | |
| ], | |
| "preferences": {"longrep_01": "sentence_reset", "longrep_02": "sentence_reset", "sentence_reset_count": 2, "trial_count": 2}, | |
| "artifact_reports": { | |
| "longrep_01": {"sentence_reset": ["none"], "whole_call": ["other"]}, | |
| "longrep_02": {"sentence_reset": [], "sentence_reset_status": "unknown_unanswered_artifact_field", "whole_call": ["other"]} | |
| }, | |
| "limits": ["one user", "no pooled MOS", "no population success rate", "no universal or checkpoint superiority claim"] | |
| } | |
| } | |