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Use GPU for WD tagger models (if available) #297

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Use GPU for WD tagger models (if available) #297

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da74e49
Update requirements.txt
vvern999 Nov 3, 2024
fdb4f29
Update wd_tagger.py
vvern999 Nov 3, 2024
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1 change: 1 addition & 0 deletions requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,7 @@ numpy==1.26.4
# WD Tagger
huggingface-hub==0.26.2
onnxruntime==1.19.2
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Have you considered swapping this to onnxruntime-gpu? Maybe for platform_system == "Linux" only?

onnxruntime-directml==1.19.2; platform_system == "Windows"
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Can you have onnxruntime and onnxruntime-directml installed at the same time? I've found that onnxruntime and onnxruntime-gpu seem to be mutually exclusive; the CPU version took precedent over the GPU version when performing Onnx tasks.


# FlashAttention (Florence-2, Phi-3-Vision)
flash-attn==2.6.3; platform_system == "Linux"
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2 changes: 1 addition & 1 deletion taggui/auto_captioning/models/wd_tagger.py
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Expand Up @@ -37,7 +37,7 @@ def __init__(self, model_id: str):
if not tags_path.is_file():
tags_path = huggingface_hub.hf_hub_download(
model_id, filename='selected_tags.csv')
self.inference_session = InferenceSession(model_path)
self.inference_session = InferenceSession(model_path, providers=['DmlExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider'])
self.tags = []
self.rating_tags_indices = []
self.general_tags_indices = []
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