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Proper fix of SD15 dtype

This commit is contained in:
huchenlei 2024-05-17 13:33:19 -04:00
parent b3971adbea
commit 8e355f08b2
1 changed files with 1 additions and 5 deletions
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6
modules/sd_models.py
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@ -548,7 +548,7 @@ def repair_config(sd_config):
if hasattr(sd_config.model.params, 'unet_config'):
if shared.cmd_opts.no_half:
sd_config.model.params.unet_config.params.use_fp16 = False
elif shared.cmd_opts.upcast_sampling:
elif shared.cmd_opts.upcast_sampling or shared.cmd_opts.precision == "half":
sd_config.model.params.unet_config.params.use_fp16 = True
if getattr(sd_config.model.params.first_stage_config.params.ddconfig, "attn_type", None) == "vanilla-xformers" and not shared.xformers_available:
@ -748,10 +748,6 @@ def load_model(checkpoint_info=None, already_loaded_state_dict=None):
sd_model = instantiate_from_config(sd_config.model)
sd_model.used_config = checkpoint_config
# ldm's Unet is using self.dtype to cast input tensor. If we do not overwrite
# UnetModel.dtype, it will be the default dtype from config.
# sgm's Unet is not using dtype for casting. The value will be ignored.
sd_model.model.diffusion_model.dtype = devices.dtype_unet
timer.record("create model")