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mps, xpu compatibility

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w-e-w 2024-05-16 23:18:20 +09:00
parent 9c8075ba8e
commit 41f66849c7
1 changed files with 4 additions and 5 deletions
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9
extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
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@ -3,6 +3,7 @@ import gradio as gr
import math
from modules.ui_components import InputAccordion
import modules.scripts as scripts
from modules.torch_utils import float64
class SoftInpaintingSettings:
@ -79,13 +80,11 @@ def latent_blend(settings, a, b, t):
# Calculate the magnitude of the interpolated vectors. (We will remove this magnitude.)
# 64-bit operations are used here to allow large exponents.
current_magnitude = torch.norm(image_interp, p=2, dim=1, keepdim=True).to(torch.float64).add_(0.00001)
current_magnitude = torch.norm(image_interp, p=2, dim=1, keepdim=True).to(float64(image_interp)).add_(0.00001)
# Interpolate the powered magnitudes, then un-power them (bring them back to a power of 1).
a_magnitude = torch.norm(a, p=2, dim=1, keepdim=True).to(torch.float64).pow_(
settings.inpaint_detail_preservation) * one_minus_t3
b_magnitude = torch.norm(b, p=2, dim=1, keepdim=True).to(torch.float64).pow_(
settings.inpaint_detail_preservation) * t3
a_magnitude = torch.norm(a, p=2, dim=1, keepdim=True).to(float64(a)).pow_(settings.inpaint_detail_preservation) * one_minus_t3
b_magnitude = torch.norm(b, p=2, dim=1, keepdim=True).to(float64(b)).pow_(settings.inpaint_detail_preservation) * t3
desired_magnitude = a_magnitude
desired_magnitude.add_(b_magnitude).pow_(1 / settings.inpaint_detail_preservation)
del a_magnitude, b_magnitude, t3, one_minus_t3