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fix: Loras not working correctly with Inpainting

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This commit is contained in:
blessedcoolant 2023-07-13 22:59:38 +12:00
parent 16f53228c2
commit 430b9c291f
1 changed files with 46 additions and 44 deletions
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18
invokeai/app/invocations/generate.py
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@ -154,18 +154,20 @@ class InpaintInvocation(BaseInvocation):
@contextmanager
def load_model_old_way(self, context, scheduler):
def _lora_loader():
for lora in self.unet.loras:
lora_info = context.services.model_manager.get_model(
**lora.dict(exclude={"weight"}))
yield (lora_info.context.model, lora.weight)
del lora_info
return
unet_info = context.services.model_manager.get_model(**self.unet.unet.dict())
vae_info = context.services.model_manager.get_model(**self.vae.vae.dict())
#unet = unet_info.context.model
#vae = vae_info.context.model
with ExitStack() as stack:
loras = [(stack.enter_context(context.services.model_manager.get_model(**lora.dict(exclude={"weight"}))), lora.weight) for lora in self.unet.loras]
with vae_info as vae,\
unet_info as unet,\
ModelPatcher.apply_lora_unet(unet, loras):
ModelPatcher.apply_lora_unet(unet_info.context.model, _lora_loader()),\
unet_info as unet:
device = context.services.model_manager.mgr.cache.execution_device
dtype = context.services.model_manager.mgr.cache.precision