Image-to-Video
TensorRT
ONNX
Safetensors
PyTorch
English
Arabic
audio-to-video
talking-head
portrait-animation
lip-sync
flow-matching
motion-generation
video-generation
wav2vec2
real-time
Instructions to use mohamedemam/float with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use mohamedemam/float with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Add the converted ONNX artifacts (onnx/)
Browse files- onnx/.build_manifest.json +167 -0
- onnx/backends.generated.yaml +159 -0
- onnx/decoder_v1.onnx +3 -0
- onnx/decoder_v1.onnx.no_trt +1 -0
- onnx/direction_v1.onnx +3 -0
- onnx/emotion_v1.onnx +3 -0
- onnx/fmt_step_v1.onnx +3 -0
- onnx/refenc_v1.onnx +3 -0
- onnx/wav2vec_v1.onnx +3 -0
onnx/.build_manifest.json
ADDED
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@@ -0,0 +1,167 @@
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| 1 |
+
{
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| 2 |
+
"12b835f6cbe305bdfe28380a8f208c9f": {
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| 3 |
+
"batch": null,
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| 4 |
+
"built_at": null,
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| 5 |
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"component": "direction",
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| 6 |
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"fingerprint": "12b835f6cbe305bdfe28380a8f208c9f",
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| 7 |
+
"kind": "onnx",
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| 8 |
+
"metrics": {
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| 9 |
+
"onnx_ms": 0.181223,
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| 10 |
+
"onnx_providers": [
|
| 11 |
+
"TensorrtExecutionProvider",
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| 12 |
+
"CUDAExecutionProvider",
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| 13 |
+
"CPUExecutionProvider"
|
| 14 |
+
]
|
| 15 |
+
},
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| 16 |
+
"parity": {
|
| 17 |
+
"cosine": 0.9999999999999399,
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| 18 |
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"max_abs": 0.00019410252571105957,
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| 19 |
+
"mean_abs": 3.9430025935871527e-05,
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| 20 |
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"ok": true
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| 21 |
+
},
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| 22 |
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"path": "onnx/direction_v1.onnx",
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| 23 |
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"precision": "fp16",
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| 24 |
+
"provider": "trt"
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| 25 |
+
},
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| 26 |
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"25effc3d560743ecd2d50d31290a596b": {
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| 27 |
+
"batch": null,
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| 28 |
+
"built_at": null,
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| 29 |
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"component": "decoder",
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| 30 |
+
"fingerprint": "25effc3d560743ecd2d50d31290a596b",
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| 31 |
+
"kind": "onnx",
|
| 32 |
+
"metrics": {
|
| 33 |
+
"onnx_ms": 149.678132,
|
| 34 |
+
"onnx_providers": [
|
| 35 |
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"CUDAExecutionProvider",
|
| 36 |
+
"CPUExecutionProvider"
|
| 37 |
+
]
|
| 38 |
+
},
|
| 39 |
+
"parity": {
|
| 40 |
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"cosine": 0.9999294430469314,
|
| 41 |
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"max_abs": 0.6732921600341797,
|
| 42 |
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"mean_abs": 0.003700948553159833,
|
| 43 |
+
"ok": true
|
| 44 |
+
},
|
| 45 |
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"path": "onnx/decoder_v1.onnx",
|
| 46 |
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"precision": "fp16",
|
| 47 |
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"provider": "cuda"
|
| 48 |
+
},
|
| 49 |
+
"62731b60cd7a5527d7ecf90f10b8764a": {
|
| 50 |
+
"batch": null,
|
| 51 |
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"built_at": null,
|
| 52 |
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"component": "audio",
|
| 53 |
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"fingerprint": "62731b60cd7a5527d7ecf90f10b8764a",
|
| 54 |
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"kind": "onnx",
|
| 55 |
+
"metrics": {
|
| 56 |
+
"onnx_ms": 1.743127,
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| 57 |
+
"onnx_providers": [
|
| 58 |
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"TensorrtExecutionProvider",
|
| 59 |
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"CUDAExecutionProvider",
|
| 60 |
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"CPUExecutionProvider"
|
| 61 |
+
]
|
| 62 |
+
},
|
| 63 |
+
"parity": {
|
| 64 |
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"cosine": 0.9999900101228454,
|
| 65 |
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"max_abs": 0.01505422592163086,
|
| 66 |
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"mean_abs": 0.0006579834152944386,
|
| 67 |
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"ok": true
|
| 68 |
+
},
|
| 69 |
+
"path": "onnx/wav2vec_v1.onnx",
|
| 70 |
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"precision": "fp16",
|
| 71 |
+
"provider": "trt"
|
| 72 |
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},
|
| 73 |
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"701488830b412a4317649f06392aa90c": {
|
| 74 |
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"batch": null,
|
| 75 |
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"built_at": null,
|
| 76 |
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"component": "refenc",
|
| 77 |
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"fingerprint": "701488830b412a4317649f06392aa90c",
|
| 78 |
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"kind": "onnx",
|
| 79 |
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"metrics": {
|
| 80 |
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"onnx_ms": 11.511097,
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| 81 |
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"onnx_providers": [
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| 82 |
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"TensorrtExecutionProvider",
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| 83 |
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"CUDAExecutionProvider",
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| 84 |
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"CPUExecutionProvider"
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| 85 |
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]
|
| 86 |
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},
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| 87 |
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"parity": {
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| 88 |
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"cosine": 0.9999852707305241,
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| 89 |
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"max_abs": 0.09148788452148438,
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| 90 |
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"mean_abs": 0.0072043477557599545,
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| 91 |
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"ok": true
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| 92 |
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},
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| 93 |
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"path": "onnx/refenc_v1.onnx",
|
| 94 |
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"precision": "fp16",
|
| 95 |
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"provider": "trt"
|
| 96 |
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},
|
| 97 |
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"8b9f1b903e7f8e8f40b718a370e6de41": {
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| 98 |
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"batch": null,
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| 99 |
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"built_at": null,
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| 100 |
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"component": "fmt",
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| 101 |
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"fingerprint": "8b9f1b903e7f8e8f40b718a370e6de41",
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| 102 |
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"kind": "onnx",
|
| 103 |
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"metrics": {
|
| 104 |
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"onnx_ms": 2.251915,
|
| 105 |
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"onnx_providers": [
|
| 106 |
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"TensorrtExecutionProvider",
|
| 107 |
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"CUDAExecutionProvider",
|
| 108 |
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"CPUExecutionProvider"
|
| 109 |
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]
|
| 110 |
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},
|
| 111 |
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"parity": {
|
| 112 |
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"cosine": 0.999995767830717,
|
| 113 |
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"max_abs": 0.02078750729560852,
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| 114 |
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"mean_abs": 0.0023481743410229683,
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| 115 |
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"ok": true
|
| 116 |
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},
|
| 117 |
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"path": "onnx/fmt_step_v1.onnx",
|
| 118 |
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"precision": "fp16",
|
| 119 |
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"provider": "trt"
|
| 120 |
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},
|
| 121 |
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"9202ca8a94b43eb31ce6c875a66aee4d": {
|
| 122 |
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"batch": null,
|
| 123 |
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"built_at": null,
|
| 124 |
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"component": "emotion",
|
| 125 |
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"fingerprint": "9202ca8a94b43eb31ce6c875a66aee4d",
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| 126 |
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"kind": "onnx",
|
| 127 |
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"metrics": {
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| 128 |
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"onnx_ms": 2.843594,
|
| 129 |
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"onnx_providers": [
|
| 130 |
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"TensorrtExecutionProvider",
|
| 131 |
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"CUDAExecutionProvider",
|
| 132 |
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"CPUExecutionProvider"
|
| 133 |
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]
|
| 134 |
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},
|
| 135 |
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"parity": {
|
| 136 |
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"cosine": 0.999999806009697,
|
| 137 |
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"max_abs": 0.0006333105266094208,
|
| 138 |
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"mean_abs": 0.00016434545977972448,
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| 139 |
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"ok": true
|
| 140 |
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},
|
| 141 |
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"path": "onnx/emotion_v1.onnx",
|
| 142 |
+
"precision": "fp16",
|
| 143 |
+
"provider": "trt"
|
| 144 |
+
},
|
| 145 |
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"f82ebec110421bf87d3ea0e2fb78fee0": {
|
| 146 |
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"batch": null,
|
| 147 |
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"built_at": null,
|
| 148 |
+
"component": "fmt",
|
| 149 |
+
"fingerprint": "f82ebec110421bf87d3ea0e2fb78fee0",
|
| 150 |
+
"kind": "onnx",
|
| 151 |
+
"metrics": {
|
| 152 |
+
"onnx_ms": 605.163577,
|
| 153 |
+
"onnx_providers": [
|
| 154 |
+
"CPUExecutionProvider"
|
| 155 |
+
]
|
| 156 |
+
},
|
| 157 |
+
"parity": {
|
| 158 |
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"cosine": 0.9999998824623342,
|
| 159 |
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"max_abs": 6.198883056640625e-06,
|
| 160 |
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"mean_abs": 7.334410838666372e-07,
|
| 161 |
+
"ok": true
|
| 162 |
+
},
|
| 163 |
+
"path": "/tmp/opencode/onnxdir/fmt_step_v1.onnx",
|
| 164 |
+
"precision": "fp16",
|
| 165 |
+
"provider": "cpu"
|
| 166 |
+
}
|
| 167 |
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}
|
onnx/backends.generated.yaml
ADDED
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@@ -0,0 +1,159 @@
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| 1 |
+
version: 2
|
| 2 |
+
target:
|
| 3 |
+
torch: 2.7.1+cu126
|
| 4 |
+
cuda: true
|
| 5 |
+
gpu: NVIDIA RTX A6000
|
| 6 |
+
cc: '8.6'
|
| 7 |
+
vram_gb: 47.4
|
| 8 |
+
ort: 1.23.2
|
| 9 |
+
trt_ep_listed: true
|
| 10 |
+
trt_libs_loadable: true
|
| 11 |
+
trt: true
|
| 12 |
+
cuda_ep: true
|
| 13 |
+
objective: end_to_end_ms
|
| 14 |
+
default_mode: eager
|
| 15 |
+
chosen_combo:
|
| 16 |
+
emotion: onnx
|
| 17 |
+
audio: onnx
|
| 18 |
+
fmt: onnx
|
| 19 |
+
refenc: compile
|
| 20 |
+
e2e:
|
| 21 |
+
kind: global_generator
|
| 22 |
+
eager_ms: 18.77132902154699
|
| 23 |
+
eager_mad_ms: 0.012680015061050653
|
| 24 |
+
compile_ms: 16.538165014935657
|
| 25 |
+
compile_mad_ms: 0.04346101195551455
|
| 26 |
+
compile_s: 3.469
|
| 27 |
+
speedup: 1.1350309423442417
|
| 28 |
+
significant: true
|
| 29 |
+
components:
|
| 30 |
+
emotion:
|
| 31 |
+
mode: onnx
|
| 32 |
+
provider: trt
|
| 33 |
+
onnx_path: onnx/emotion_v1.onnx
|
| 34 |
+
metrics:
|
| 35 |
+
eager_ms: 16.313770989654586
|
| 36 |
+
eager_mad_ms: 0.2377640048507601
|
| 37 |
+
compile_ms: 12.844707001931965
|
| 38 |
+
compile_mad_ms: 0.22261301637627184
|
| 39 |
+
compile_s: 3.432
|
| 40 |
+
onnx_parity:
|
| 41 |
+
max_abs: 0.000633
|
| 42 |
+
mean_abs: 0.000164
|
| 43 |
+
cosine: 1.0
|
| 44 |
+
ok: true
|
| 45 |
+
onnx_ms: 2.843594003934413
|
| 46 |
+
onnx_mad_ms: 0.004879984771832824
|
| 47 |
+
onnx_provider: trt
|
| 48 |
+
onnx_providers:
|
| 49 |
+
- TensorrtExecutionProvider
|
| 50 |
+
- CUDAExecutionProvider
|
| 51 |
+
- CPUExecutionProvider
|
| 52 |
+
audio:
|
| 53 |
+
mode: onnx
|
| 54 |
+
provider: trt
|
| 55 |
+
onnx_path: onnx/wav2vec_v1.onnx
|
| 56 |
+
metrics:
|
| 57 |
+
eager_ms: 7.668967999052256
|
| 58 |
+
eager_mad_ms: 0.03063099575228989
|
| 59 |
+
compile_ms: 4.126863001147285
|
| 60 |
+
compile_mad_ms: 0.03980001201853156
|
| 61 |
+
compile_s: 6.241
|
| 62 |
+
onnx_parity:
|
| 63 |
+
max_abs: 0.015054
|
| 64 |
+
mean_abs: 0.000658
|
| 65 |
+
cosine: 0.99999
|
| 66 |
+
ok: true
|
| 67 |
+
onnx_ms: 1.743127009831369
|
| 68 |
+
onnx_mad_ms: 0.004930014256387949
|
| 69 |
+
onnx_provider: trt
|
| 70 |
+
onnx_providers:
|
| 71 |
+
- TensorrtExecutionProvider
|
| 72 |
+
- CUDAExecutionProvider
|
| 73 |
+
- CPUExecutionProvider
|
| 74 |
+
direction:
|
| 75 |
+
mode: eager
|
| 76 |
+
onnx_path: onnx/direction_v1.onnx
|
| 77 |
+
metrics:
|
| 78 |
+
eager_ms: 0.037949997931718826
|
| 79 |
+
eager_mad_ms: 0.0008099887054413557
|
| 80 |
+
compile_ms: 0.07996099884621799
|
| 81 |
+
compile_mad_ms: 0.001040025381371379
|
| 82 |
+
compile_s: 0.025
|
| 83 |
+
onnx_parity:
|
| 84 |
+
max_abs: 0.000194
|
| 85 |
+
mean_abs: 3.9e-05
|
| 86 |
+
cosine: 1.0
|
| 87 |
+
ok: true
|
| 88 |
+
onnx_ms: 0.181223003892228
|
| 89 |
+
onnx_mad_ms: 0.003029999788850546
|
| 90 |
+
onnx_provider: trt
|
| 91 |
+
onnx_providers:
|
| 92 |
+
- TensorrtExecutionProvider
|
| 93 |
+
- CUDAExecutionProvider
|
| 94 |
+
- CPUExecutionProvider
|
| 95 |
+
reason: no candidate beat eager by 1.10x outside the noise band
|
| 96 |
+
fmt:
|
| 97 |
+
mode: onnx
|
| 98 |
+
provider: trt
|
| 99 |
+
onnx_path: onnx/fmt_step_v1.onnx
|
| 100 |
+
metrics:
|
| 101 |
+
eager_ms: 5.844598985277116
|
| 102 |
+
eager_mad_ms: 0.013921002391725779
|
| 103 |
+
compile_ms: 4.951315990183502
|
| 104 |
+
compile_mad_ms: 0.020679988665506244
|
| 105 |
+
compile_s: 3.774
|
| 106 |
+
onnx_parity:
|
| 107 |
+
max_abs: 0.020788
|
| 108 |
+
mean_abs: 0.002348
|
| 109 |
+
cosine: 0.999996
|
| 110 |
+
ok: true
|
| 111 |
+
onnx_ms: 2.2519149933941662
|
| 112 |
+
onnx_mad_ms: 0.01677899854257703
|
| 113 |
+
onnx_provider: trt
|
| 114 |
+
onnx_providers:
|
| 115 |
+
- TensorrtExecutionProvider
|
| 116 |
+
- CUDAExecutionProvider
|
| 117 |
+
- CPUExecutionProvider
|
| 118 |
+
decoder:
|
| 119 |
+
mode: eager
|
| 120 |
+
onnx_path: onnx/decoder_v1.onnx
|
| 121 |
+
metrics:
|
| 122 |
+
eager_ms: 25.683184998342767
|
| 123 |
+
eager_mad_ms: 0.08247100049629807
|
| 124 |
+
compile_ms: 24.97261398821138
|
| 125 |
+
compile_mad_ms: 0.13203200069256127
|
| 126 |
+
compile_s: 9.272
|
| 127 |
+
onnx_parity:
|
| 128 |
+
max_abs: 0.673292
|
| 129 |
+
mean_abs: 0.003701
|
| 130 |
+
cosine: 0.999929
|
| 131 |
+
ok: true
|
| 132 |
+
onnx_ms: 149.67813200200908
|
| 133 |
+
onnx_mad_ms: 2.0826529944315553
|
| 134 |
+
onnx_provider: cuda
|
| 135 |
+
onnx_providers:
|
| 136 |
+
- CUDAExecutionProvider
|
| 137 |
+
- CPUExecutionProvider
|
| 138 |
+
reason: no candidate beat eager by 1.10x outside the noise band
|
| 139 |
+
refenc:
|
| 140 |
+
mode: compile
|
| 141 |
+
onnx_path: onnx/refenc_v1.onnx
|
| 142 |
+
metrics:
|
| 143 |
+
eager_ms: 5.775298981461674
|
| 144 |
+
eager_mad_ms: 0.004929985152557492
|
| 145 |
+
compile_ms: 5.231279996223748
|
| 146 |
+
compile_mad_ms: 0.04106998676434159
|
| 147 |
+
compile_s: 3.105
|
| 148 |
+
onnx_parity:
|
| 149 |
+
max_abs: 0.091488
|
| 150 |
+
mean_abs: 0.007204
|
| 151 |
+
cosine: 0.999985
|
| 152 |
+
ok: true
|
| 153 |
+
onnx_ms: 11.51109699276276
|
| 154 |
+
onnx_mad_ms: 0.11942200944758952
|
| 155 |
+
onnx_provider: trt
|
| 156 |
+
onnx_providers:
|
| 157 |
+
- TensorrtExecutionProvider
|
| 158 |
+
- CUDAExecutionProvider
|
| 159 |
+
- CPUExecutionProvider
|
onnx/decoder_v1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c43ee5f8460e42af83e44c2328701aaac8884a0c1d18bc118a9a8b90501b8091
|
| 3 |
+
size 93838217
|
onnx/decoder_v1.onnx.no_trt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
TensorRT EP is vetoed for this decoder artifact: it either failed the uint8 parity gate or the artifact was validated without it (see convert_decoder).
|
onnx/direction_v1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d003d1df407dffaf5c203ec9df8ed2765f321b456afee20114566138b67fd72a
|
| 3 |
+
size 42441
|
onnx/emotion_v1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d230239548c172d19c3d2d175d8a14c6dd1ce185c78ef59ca9bacda2967a2b43
|
| 3 |
+
size 1268906947
|
onnx/fmt_step_v1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:396aff5989f1e3ee3032b73ae19e1e4d1357b7359f362131a3b1bb8ab3c1284e
|
| 3 |
+
size 627643963
|
onnx/refenc_v1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2233775108bc7efae0a39403dd8f87be63e5f44130ae84bed7a52bc5977e8c71
|
| 3 |
+
size 91328700
|
onnx/wav2vec_v1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1667b670660ddb681e3e2b2bd632632a9ffd8e2a5ec1c8c99df840b7d5d1da6c
|
| 3 |
+
size 380456433
|