erMixin.load_textual_inversion()
LoRA: loaders.LoraLoaderMixin.load_lora_weights()
Ckpt: loaders.FromCkptMixin.from_ckpt()
as well as the following saving methods:
LoRA: loaders.LoraLoaderMixin.save_lora_weights()

__call__

<
source
>
(
prompt: typing.Union[str, typing.List[str]] = None
image: typing.Union[torch.FloatTensor, PIL.Image.Image] = None
strength: float = 0.8
num_inference_steps: typing.Optional[int] = 50
guidance_scale: typing.Opti