mirror of https://github.com/vladmandic/automatic
44 lines
2.7 KiB
Python
44 lines
2.7 KiB
Python
# Original: https://github.com/megvii-research/HiDiffusion
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import time
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from modules import shared
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from modules.hidiffusion import hidiffusion
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def apply(p, model_type):
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if not shared.native:
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return
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if model_type not in ['sd', 'sdxl'] and p.hidiffusion:
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shared.log.warning(f'HiDiffusion: class={shared.sd_model.__class__.__name__} not supported')
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return
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unapply()
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if getattr(p, 'hidiffusion', False) is True:
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t0 = time.time()
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hidiffusion.is_aggressive_raunet = shared.opts.hidiffusion_steps > 0
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hidiffusion.aggressive_step = shared.opts.hidiffusion_steps
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if shared.opts.hidiffusion_t1 >= 0:
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t1 = shared.opts.hidiffusion_t1
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hidiffusion.switching_threshold_ratio_dict['sd15_1024']['T1_ratio'] = t1
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hidiffusion.switching_threshold_ratio_dict['sd15_2048']['T1_ratio'] = t1
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hidiffusion.switching_threshold_ratio_dict['sdxl_2048']['T1_ratio'] = t1
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hidiffusion.switching_threshold_ratio_dict['sdxl_4096']['T1_ratio'] = t1
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hidiffusion.switching_threshold_ratio_dict['sdxl_turbo_1024']['T1_ratio'] = t1
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p.extra_generation_params['HiDiffusion Ratios'] = f'{shared.opts.hidiffusion_t1}/{shared.opts.hidiffusion_t2}'
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if shared.opts.hidiffusion_t2 >= 0:
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t2 =shared.opts.hidiffusion_t2
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hidiffusion.switching_threshold_ratio_dict['sd15_1024']['T2_ratio'] = t2
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hidiffusion.switching_threshold_ratio_dict['sd15_2048']['T2_ratio'] = t2
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hidiffusion.switching_threshold_ratio_dict['sdxl_2048']['T2_ratio'] = t2
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hidiffusion.switching_threshold_ratio_dict['sdxl_4096']['T2_ratio'] = t2
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hidiffusion.switching_threshold_ratio_dict['sdxl_turbo_1024']['T2_ratio'] = t2
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p.extra_generation_params['HiDiffusion Ratios'] = f'{shared.opts.hidiffusion_t1}/{shared.opts.hidiffusion_t2}'
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hidiffusion.apply_hidiffusion(shared.sd_model, apply_raunet=shared.opts.hidiffusion_raunet, apply_window_attn=shared.opts.hidiffusion_attn, model_type=model_type)
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p.extra_generation_params['HiDiffusion'] = f'{shared.opts.hidiffusion_raunet}/{shared.opts.hidiffusion_attn}/{shared.opts.hidiffusion_steps > 0}:{shared.opts.hidiffusion_steps}'
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t1 = time.time()
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shared.log.debug(f'HiDiffusion apply: raunet={shared.opts.hidiffusion_raunet} attn={shared.opts.hidiffusion_attn} aggressive={shared.opts.hidiffusion_steps > 0}:{shared.opts.hidiffusion_steps} t1={shared.opts.hidiffusion_t1} t2={shared.opts.hidiffusion_t2} time={t1-t0:.2f} type={shared.sd_model_type} width={p.width} height={p.height}')
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def unapply():
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if hasattr(shared.sd_model, "unet"):
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hidiffusion.remove_hidiffusion(shared.sd_model)
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