Text-to-Speech
Transformers
Safetensors
PyTorch
English
Chinese
breeze
text-generation
cuda
english
chinese
speech-generation
voice-clone
voice-design
voice-direction
comfyui
int8
convrot
quantization
quantised
hadamard
Instructions to use drbaph/Breeze-TTS-2-comfyui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drbaph/Breeze-TTS-2-comfyui with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="drbaph/Breeze-TTS-2-comfyui")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("drbaph/Breeze-TTS-2-comfyui", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload benchmark_report.json with huggingface_hub
Browse files- benchmark_report.json +178 -0
benchmark_report.json
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| 1 |
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{
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| 2 |
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"bf16": {
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"description": "all linears bf16 (Breeze-TTS-2-bf16.safetensors)",
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| 4 |
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"load_s": 7.6,
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| 5 |
+
"avg_rtf": 5.681,
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| 6 |
+
"max_peak_vram_gib": 7.51,
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"prompts": {
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"design_en": {
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| 9 |
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"audio_s": 4.16,
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| 10 |
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"gen_s": 24.1,
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| 11 |
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"rtf": 5.797,
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| 12 |
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"peak_vram_gib": 7.32,
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| 13 |
+
"logmel_l1_vs_bf16": 0.0,
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| 14 |
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"wer": 0.0,
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| 15 |
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"whisper": "It is good to hear your voice again after all this time."
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| 16 |
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},
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| 17 |
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"design_zh": {
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| 18 |
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"audio_s": 2.8,
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| 19 |
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"gen_s": 14.9,
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| 20 |
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"rtf": 5.324,
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| 21 |
+
"peak_vram_gib": 7.25,
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| 22 |
+
"logmel_l1_vs_bf16": 0.0,
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| 23 |
+
"wer": 0.0,
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| 24 |
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"whisper": "欢迎来到今晚的故事时间让我们一起开始吧"
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| 25 |
+
},
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| 26 |
+
"clone_en": {
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| 27 |
+
"audio_s": 6.24,
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| 28 |
+
"gen_s": 37.0,
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| 29 |
+
"rtf": 5.922,
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| 30 |
+
"peak_vram_gib": 7.51,
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| 31 |
+
"logmel_l1_vs_bf16": 0.0,
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| 32 |
+
"wer": 0.1667,
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| 33 |
+
"whisper": "This is a clone test of the Breeze TTS2 Comfy UI node pack. Now running with quantized weights."
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| 34 |
+
},
|
| 35 |
+
"direction_en": {
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| 36 |
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"audio_s": 4.8,
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| 37 |
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"gen_s": 27.3,
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| 38 |
+
"rtf": 5.68,
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| 39 |
+
"peak_vram_gib": 7.42,
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| 40 |
+
"logmel_l1_vs_bf16": 0.0,
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| 41 |
+
"wer": 0.0,
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| 42 |
+
"whisper": "We need to discuss what happened last night."
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| 43 |
+
}
|
| 44 |
+
}
|
| 45 |
+
},
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| 46 |
+
"int8-convrot": {
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| 47 |
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"description": "all 462 transformer linears int8 convrot (Breeze-TTS-2-int8-convrot.safetensors)",
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| 48 |
+
"load_s": 9.6,
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| 49 |
+
"avg_rtf": 9.08,
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| 50 |
+
"max_peak_vram_gib": 5.21,
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| 51 |
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"prompts": {
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| 52 |
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"design_en": {
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| 53 |
+
"audio_s": 4.72,
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| 54 |
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"gen_s": 36.7,
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| 55 |
+
"rtf": 7.778,
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| 56 |
+
"peak_vram_gib": 5.06,
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| 57 |
+
"logmel_l1_vs_bf16": 1.796,
|
| 58 |
+
"wer": 0.0833,
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| 59 |
+
"whisper": "Ah, it is good to hear your voice again, after all this time."
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| 60 |
+
},
|
| 61 |
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"design_zh": {
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| 62 |
+
"audio_s": 4.24,
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| 63 |
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"gen_s": 41.0,
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| 64 |
+
"rtf": 9.664,
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| 65 |
+
"peak_vram_gib": 5.04,
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| 66 |
+
"logmel_l1_vs_bf16": 3.4857,
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| 67 |
+
"wer": 0.0,
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| 68 |
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"whisper": "欢迎来到今晚的故事时间让我们一起开始吧"
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| 69 |
+
},
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| 70 |
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"clone_en": {
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| 71 |
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"audio_s": 6.24,
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| 72 |
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"gen_s": 57.8,
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| 73 |
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"rtf": 9.262,
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| 74 |
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"peak_vram_gib": 5.21,
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| 75 |
+
"logmel_l1_vs_bf16": 1.3277,
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| 76 |
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"wer": 0.2222,
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| 77 |
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"whisper": "This is a clone test of the Breeze TTS2 Comfy UI node pack, now running with Quantite weights."
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| 78 |
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},
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| 79 |
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"direction_en": {
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| 80 |
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"audio_s": 3.68,
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| 81 |
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"gen_s": 35.4,
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| 82 |
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"rtf": 9.617,
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| 83 |
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"peak_vram_gib": 5.07,
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| 84 |
+
"logmel_l1_vs_bf16": 2.1019,
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| 85 |
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"wer": 0.0,
|
| 86 |
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"whisper": "We need to discuss what happened last night."
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| 87 |
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}
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| 88 |
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}
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| 89 |
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},
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| 90 |
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"int8-hybrid": {
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| 91 |
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"description": "backbone+text_encoder int8 convrot, depth decoder bf16 (Breeze-TTS-2-int8-hybrid.safetensors)",
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| 92 |
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"load_s": 9.2,
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| 93 |
+
"avg_rtf": 5.642,
|
| 94 |
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"max_peak_vram_gib": 5.53,
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| 95 |
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"prompts": {
|
| 96 |
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"design_en": {
|
| 97 |
+
"audio_s": 3.52,
|
| 98 |
+
"gen_s": 18.8,
|
| 99 |
+
"rtf": 5.338,
|
| 100 |
+
"peak_vram_gib": 5.3,
|
| 101 |
+
"logmel_l1_vs_bf16": 1.634,
|
| 102 |
+
"wer": 0.0,
|
| 103 |
+
"whisper": "It is good to hear your voice again after all this time."
|
| 104 |
+
},
|
| 105 |
+
"design_zh": {
|
| 106 |
+
"audio_s": 4.16,
|
| 107 |
+
"gen_s": 22.6,
|
| 108 |
+
"rtf": 5.421,
|
| 109 |
+
"peak_vram_gib": 5.34,
|
| 110 |
+
"logmel_l1_vs_bf16": 3.5299,
|
| 111 |
+
"wer": 0.0,
|
| 112 |
+
"whisper": "欢迎来到今晚的故事时间让我们一起开始吧"
|
| 113 |
+
},
|
| 114 |
+
"clone_en": {
|
| 115 |
+
"audio_s": 6.32,
|
| 116 |
+
"gen_s": 33.5,
|
| 117 |
+
"rtf": 5.304,
|
| 118 |
+
"peak_vram_gib": 5.53,
|
| 119 |
+
"logmel_l1_vs_bf16": 1.0783,
|
| 120 |
+
"wer": 0.2222,
|
| 121 |
+
"whisper": "This is a clone test of the Breeze TTS2 Comfy UI node pack. Now running with quantize weights."
|
| 122 |
+
},
|
| 123 |
+
"direction_en": {
|
| 124 |
+
"audio_s": 3.84,
|
| 125 |
+
"gen_s": 25.0,
|
| 126 |
+
"rtf": 6.506,
|
| 127 |
+
"peak_vram_gib": 5.38,
|
| 128 |
+
"logmel_l1_vs_bf16": 1.9786,
|
| 129 |
+
"wer": 0.0,
|
| 130 |
+
"whisper": "We need to discuss what happened last night."
|
| 131 |
+
}
|
| 132 |
+
}
|
| 133 |
+
},
|
| 134 |
+
"int8-te": {
|
| 135 |
+
"description": "text_encoder int8 convrot only (Breeze-TTS-2-int8-text-encoder.safetensors)",
|
| 136 |
+
"load_s": 8.4,
|
| 137 |
+
"avg_rtf": 5.342,
|
| 138 |
+
"max_peak_vram_gib": 6.82,
|
| 139 |
+
"prompts": {
|
| 140 |
+
"design_en": {
|
| 141 |
+
"audio_s": 4.24,
|
| 142 |
+
"gen_s": 25.1,
|
| 143 |
+
"rtf": 5.928,
|
| 144 |
+
"peak_vram_gib": 6.66,
|
| 145 |
+
"logmel_l1_vs_bf16": 1.1453,
|
| 146 |
+
"wer": 0.0,
|
| 147 |
+
"whisper": "It is good to hear your voice again after all this time."
|
| 148 |
+
},
|
| 149 |
+
"design_zh": {
|
| 150 |
+
"audio_s": 3.44,
|
| 151 |
+
"gen_s": 17.5,
|
| 152 |
+
"rtf": 5.097,
|
| 153 |
+
"peak_vram_gib": 6.61,
|
| 154 |
+
"logmel_l1_vs_bf16": 2.3411,
|
| 155 |
+
"wer": 0.0,
|
| 156 |
+
"whisper": "欢迎来到今晚的故事时间,让我们一起开始吧。"
|
| 157 |
+
},
|
| 158 |
+
"clone_en": {
|
| 159 |
+
"audio_s": 6.08,
|
| 160 |
+
"gen_s": 32.1,
|
| 161 |
+
"rtf": 5.275,
|
| 162 |
+
"peak_vram_gib": 6.82,
|
| 163 |
+
"logmel_l1_vs_bf16": 1.1573,
|
| 164 |
+
"wer": 0.2222,
|
| 165 |
+
"whisper": "This is a clone test of the Breeze TTS2 Comfy UI node pack. Now running with quantize weights."
|
| 166 |
+
},
|
| 167 |
+
"direction_en": {
|
| 168 |
+
"audio_s": 4.48,
|
| 169 |
+
"gen_s": 22.7,
|
| 170 |
+
"rtf": 5.068,
|
| 171 |
+
"peak_vram_gib": 6.73,
|
| 172 |
+
"logmel_l1_vs_bf16": 2.6358,
|
| 173 |
+
"wer": 0.0,
|
| 174 |
+
"whisper": "We need to discuss what happened last night."
|
| 175 |
+
}
|
| 176 |
+
}
|
| 177 |
+
}
|
| 178 |
+
}
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