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Browse files- src/pipeline.py +0 -1
src/pipeline.py
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@@ -52,7 +52,6 @@ def load_pipeline() -> Pipeline:
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# pipeline.vae.to(memory_format=torch.channels_last)
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quantize_(pipeline.vae, int8_weight_only())
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pipeline.vae = torch.compile(pipeline.vae, fullgraph=True, backend="tensorrt")
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PROMPT = 'semiconformity, peregrination, quip, twineless, emotionless, tawa, depickle'
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with torch.inference_mode():
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# pipeline.vae.to(memory_format=torch.channels_last)
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quantize_(pipeline.vae, int8_weight_only())
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PROMPT = 'semiconformity, peregrination, quip, twineless, emotionless, tawa, depickle'
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with torch.inference_mode():
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