Move helper to attach several LoRAs from SD to Fluxion

This commit is contained in:
Pierre Chapuis 2024-02-14 11:37:55 +01:00
parent bec845553f
commit 35868ba34b
2 changed files with 36 additions and 25 deletions

View file

@ -435,3 +435,32 @@ class LoraAdapter(fl.Sum, Adapter[fl.WeightedModule]):
lora = self.loras[name]
self.remove(lora)
return lora
def auto_attach_loras(
loras: dict[str, Lora[Any]],
target: fl.Chain,
/,
exclude: list[str] | None = None,
) -> list[str]:
"""Auto-attach several LoRA layers to a Chain.
Args:
loras: A dictionary of LoRA layers associated to their respective key.
target: The target Chain.
Returns:
A list of keys of LoRA layers which failed to attach.
"""
failed_keys: list[str] = []
for key, lora in loras.items():
if attached := lora.auto_attach(target, exclude=exclude):
adapter, parent = attached
if parent is None:
# `adapter` is already attached and `lora` has been added to it
continue
adapter.inject(parent)
else:
failed_keys.append(key)
return failed_keys

View file

@ -4,7 +4,7 @@ from warnings import warn
from torch import Tensor
import refiners.fluxion.layers as fl
from refiners.fluxion.adapters.lora import Lora, LoraAdapter
from refiners.fluxion.adapters.lora import Lora, LoraAdapter, auto_attach_loras
from refiners.foundationals.latent_diffusion.model import LatentDiffusionModel
@ -115,7 +115,9 @@ class SDLoraManager:
(keys are the names of the LoRAs, values are the LoRAs to add to the text encoder)
"""
text_encoder_loras = {key: loras[key] for key in loras.keys() if "text" in key}
SDLoraManager.auto_attach(text_encoder_loras, self.clip_text_encoder)
failed = auto_attach_loras(text_encoder_loras, self.clip_text_encoder)
if failed:
warn(f"failed to attach {len(failed)}/{len(text_encoder_loras)} loras to the text encoder")
def add_loras_to_unet(self, loras: dict[str, Lora[Any]], /) -> None:
"""Add multiple LoRAs to the U-Net.
@ -128,7 +130,9 @@ class SDLoraManager:
exclude = [
block for s, block in self.unet_exclusions.items() if all([s not in key for key in unet_loras.keys()])
]
SDLoraManager.auto_attach(unet_loras, self.unet, exclude=exclude)
failed = auto_attach_loras(unet_loras, self.unet, exclude=exclude)
if failed:
warn(f"failed to attach {len(failed)}/{len(unet_loras)} loras to the unet")
def remove_loras(self, *names: str) -> None:
"""Remove multiple LoRAs from the target.
@ -273,25 +277,3 @@ class SDLoraManager:
padded_key_prefix = SDLoraManager._pad(key.removesuffix(sfx))
return (padded_key_prefix, score)
@staticmethod
def auto_attach(
loras: dict[str, Lora[Any]],
target: fl.Chain,
/,
exclude: list[str] | None = None,
) -> None:
failed_loras: dict[str, Lora[Any]] = {}
for key, lora in loras.items():
if attach := lora.auto_attach(target, exclude=exclude):
adapter, parent = attach
# if parent is None, `adapter` is already attached and `lora` has been added to it
if parent is not None:
adapter.inject(parent)
else:
failed_loras[key] = lora
if failed_loras:
warn(f"failed to attach {len(failed_loras)}/{len(loras)} loras to {target.__class__.__name__}")
# TODO: add a stronger sanity check to make sure loras are attached correctly