* pai fuser sparse test * make pai fuser more clear * make pai fuser more clear * make pai fuser more clear * make pai fuser more clear * Update Readme * disable compile in rope for less error info * Fix sage attention backward bug * Fix checkpoint bugs * Fix Attention * Update predict and fast rope * Fix bug in Sparse * Fix bug in Sparse * Fix bug in loras load * Delete useless import * Fix bug in ui * Fix bug in ui
32 lines
1.6 KiB
Python
Executable File
32 lines
1.6 KiB
Python
Executable File
import importlib.util
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from .fm_solvers import FlowDPMSolverMultistepScheduler
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from .fm_solvers_unipc import FlowUniPCMultistepScheduler
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from .fp8_optimization import (autocast_model_forward,
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convert_model_weight_to_float8,
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convert_weight_dtype_wrapper,
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replace_parameters_by_name)
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from .lora_utils import merge_lora, unmerge_lora
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from .utils import (filter_kwargs, get_image_latent, get_image_to_video_latent,
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get_video_to_video_latent, save_videos_grid)
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from .cfg_optimization import cfg_skip
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from .discrete_sampler import DiscreteSampling
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# The pai_fuser is an internally developed acceleration package, which can be used on PAI.
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if importlib.util.find_spec("pai_fuser") is not None:
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from pai_fuser.core import (convert_model_weight_to_float8,
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convert_weight_dtype_wrapper)
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from . import fp8_optimization
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fp8_optimization.convert_model_weight_to_float8 = convert_model_weight_to_float8
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fp8_optimization.convert_weight_dtype_wrapper = convert_weight_dtype_wrapper
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convert_model_weight_to_float8 = fp8_optimization.convert_model_weight_to_float8
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convert_weight_dtype_wrapper = fp8_optimization.convert_weight_dtype_wrapper
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print("Import PAI Quantization Turbo")
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from pai_fuser.core import (cfg_skip_turbo, enable_cfg_skip,
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disable_cfg_skip)
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from . import cfg_optimization
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cfg_optimization.cfg_skip = cfg_skip_turbo
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cfg_skip = cfg_skip_turbo
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print("Import CFG Skip Turbo") |