Update config
Browse files- src/pipeline.py +8 -2
src/pipeline.py
CHANGED
@@ -14,6 +14,12 @@ from transformers import T5EncoderModel, CLIPTextModel
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Pipeline: TypeAlias = FluxPipeline
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torch.backends.cudnn.benchmark = True
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CHECKPOINT = "jokerbit/flux.1-schnell-Robert-int8wo"
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REVISION = "5ef0012f11a863e5111ec56540302a023bc8587b"
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@@ -41,9 +47,9 @@ def load_pipeline() -> Pipeline:
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vae=vae,
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local_files_only=True,
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torch_dtype=torch.bfloat16,
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)
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# pipeline.
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# quantize_(pipeline.vae, int8_weight_only())
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# pipeline.vae = torch.compile(pipeline.vae, mode="reduce-overhead")
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# pipeline.to("cuda")
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Pipeline: TypeAlias = FluxPipeline
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torch.backends.cudnn.benchmark = True
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torch.backends.cudnn.benchmark = True
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torch._inductor.config.conv_1x1_as_mm = True
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torch._inductor.config.coordinate_descent_tuning = True
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torch._inductor.config.epilogue_fusion = False
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torch._inductor.config.coordinate_descent_check_all_directions = True
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os.environ['PYTORCH_CUDA_ALLOC_CONF']="expandable_segments:True"
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CHECKPOINT = "jokerbit/flux.1-schnell-Robert-int8wo"
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REVISION = "5ef0012f11a863e5111ec56540302a023bc8587b"
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vae=vae,
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local_files_only=True,
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torch_dtype=torch.bfloat16,
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# pipeline.transformer.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, mode="reduce-overhead")
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# pipeline.to("cuda")
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