Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-19 01:04:32 +02:00
Code Issues Packages Projects Releases Wiki Activity

fix compatibility with latest diffusers

Browse Source
This commit is contained in:
Vladimir Mandic
2024-07-01 11:51:46 -04:00
parent cdc2e66cff
commit c376566fb6
11 changed files with 29 additions and 33 deletions
Download Patch File Download Diff File Expand all files Collapse all files
scripts/demofusion.py
+2 -3
View File
@@ -8,7 +8,7 @@ from transformers import CLIPTextModel, CLIPTextModelWithProjection, CLIPTokeniz
from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import FromSingleFileMixin, LoraLoaderMixin, TextualInversionLoaderMixin
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.models.attention_processor import AttnProcessor2_0, LoRAAttnProcessor2_0, LoRAXFormersAttnProcessor, XFormersAttnProcessor
from diffusers.models.attention_processor import AttnProcessor2_0, FusedAttnProcessor2_0, XFormersAttnProcessor
from diffusers.models.lora import adjust_lora_scale_text_encoder
from diffusers.schedulers import KarrasDiffusionSchedulers
from diffusers.utils import is_accelerate_available, is_accelerate_version
@@ -484,8 +484,7 @@ class DemoFusionSDXLPipeline(DiffusionPipeline, FromSingleFileMixin, LoraLoaderM
(
AttnProcessor2_0,
XFormersAttnProcessor,
LoRAXFormersAttnProcessor,
LoRAAttnProcessor2_0,
FusedAttnProcessor2_0,
),
)
# if xformers or torch_2_0 is used attention block does not need
scripts/differential_diffusion.py
+2 -4
View File
@@ -22,8 +22,7 @@ from diffusers.loaders import FromSingleFileMixin, LoraLoaderMixin, TextualInver
from diffusers.models import AutoencoderKL, UNet2DConditionModel
from diffusers.models.attention_processor import (
AttnProcessor2_0,
LoRAAttnProcessor2_0,
LoRAXFormersAttnProcessor,
FusedAttnProcessor2_0,
XFormersAttnProcessor,
)
from diffusers.configuration_utils import FrozenDict
@@ -631,8 +630,7 @@ class StableDiffusionXLDiffImg2ImgPipeline(DiffusionPipeline, FromSingleFileMixi
(
AttnProcessor2_0,
XFormersAttnProcessor,
LoRAXFormersAttnProcessor,
LoRAAttnProcessor2_0,
FusedAttnProcessor2_0,
),
)
# if xformers or torch_2_0 is used attention block does not need