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Merge branch 'dev' into dif-prompt-cleanup

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This commit is contained in:
AI-Casanova
2024-01-13 15:09:16 -06:00
committed by GitHub
parent cc2e3e058b e395f3101f
commit 904ee42437
4 changed files with 7 additions and 5 deletions
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modules/intel/ipex/hijacks.py
+2 -1
View File
@@ -1,3 +1,4 @@
import os
from functools import wraps
from contextlib import nullcontext
import torch
@@ -60,7 +61,7 @@ def from_numpy(ndarray):
else:
return original_from_numpy(ndarray)
if torch.xpu.has_fp64_dtype():
if torch.xpu.has_fp64_dtype() and os.environ.get('IPEX_FORCE_ATTENTION_SLICE', None) is None:
original_torch_bmm = torch.bmm
original_scaled_dot_product_attention = torch.nn.functional.scaled_dot_product_attention
else:
modules/processing.py
+2 -2
View File
@@ -165,7 +165,7 @@ class StableDiffusionProcessing:
self.image_cfg_scale = image_cfg_scale
self.diffusers_guidance_rescale = diffusers_guidance_rescale
self.sag_scale = sag_scale
if devices.backend == "ipex" and width == 1024 and height == 1024 and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
if devices.backend == "ipex" and width == 1024 and height == 1024 and not torch.xpu.has_fp64_dtype() and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
width = 1080
height = 1080
self.width: int = width
@@ -1064,7 +1064,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
def __init__(self, enable_hr: bool = False, denoising_strength: float = 0.75, firstphase_width: int = 0, firstphase_height: int = 0, hr_scale: float = 2.0, hr_force: bool = False, hr_upscaler: str = None, hr_second_pass_steps: int = 0, hr_resize_x: int = 0, hr_resize_y: int = 0, refiner_steps: int = 5, refiner_start: float = 0, refiner_prompt: str = '', refiner_negative: str = '', **kwargs):
super().__init__(**kwargs)
if devices.backend == "ipex" and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
if devices.backend == "ipex" and not torch.xpu.has_fp64_dtype() and os.environ.get('DISABLE_IPEX_1024_WA', None) is None:
width_curse = bool(hr_resize_x == 1024 and self.height * (hr_resize_x / self.width) == 1024)
height_curse = bool(hr_resize_y == 1024 and self.width * (hr_resize_y / self.height) == 1024)
if (width_curse != height_curse) or (height_curse and width_curse):