fix miscellaneous typos

This commit is contained in:
Cédric Deltheil 2024-02-07 16:32:37 +00:00 committed by Cédric Deltheil
parent d7aadf99de
commit e36dda63fd
3 changed files with 4 additions and 4 deletions

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@ -364,7 +364,7 @@ python scripts/conversion/convert_diffusers_ip_adapter.py --from ip-adapter-plus
This will download and convert both IP-Adapter and CLIP Image Encoder pretrained weights.
Then, in your Python code, simply instantiate a [`SDXLIPAdapter`][refiners.foundationals.latent_diffusion.stable_diffusion_xl.image_prompt.SDXLIPAdapter] targetting our `sdxl.unet`, and inject it using a simple `.inject()` call:
Then, in your Python code, simply instantiate a [`SDXLIPAdapter`][refiners.foundationals.latent_diffusion.stable_diffusion_xl.image_prompt.SDXLIPAdapter] targeting our `sdxl.unet`, and inject it using a simple `.inject()` call:
```py
# IP-Adapter

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@ -55,7 +55,7 @@ class Chain(ContextModule):
This layer is the main building block of Fluxion.
It is used to compose other layers in a sequential manner.
Similary to [`torch.nn.Sequential`][torch.nn.Sequential],
Similarly to [`torch.nn.Sequential`][torch.nn.Sequential],
it calls each of its sub-layers in order, chaining their outputs as inputs to the next sublayer.
However, it also provides additional methods to manipulate its sub-layers and their context.

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@ -131,7 +131,7 @@ class SDLoraManager:
SDLoraManager.auto_attach(unet_loras, self.unet, exclude=exclude)
def remove_loras(self, *names: str) -> None:
"""Remove mulitple LoRAs from the target.
"""Remove multiple LoRAs from the target.
Args:
names: The names of the LoRAs to remove.
@ -179,7 +179,7 @@ class SDLoraManager:
self.update_scales({name: scale})
def update_scales(self, scales: dict[str, float], /) -> None:
"""Update the scales of mulitple LoRAs.
"""Update the scales of multiple LoRAs.
Args:
scales: The scales to update.