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Cédric Deltheil 2024-01-10 11:43:08 +01:00 committed by Cédric Deltheil
parent ad143b0867
commit 65f19d192f
6 changed files with 14 additions and 10 deletions
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2
src/refiners/foundationals/latent_diffusion/schedulers/__init__.py
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@ -1,7 +1,7 @@
from refiners.foundationals.latent_diffusion.schedulers.ddim import DDIM
from refiners.foundationals.latent_diffusion.schedulers.ddpm import DDPM
from refiners.foundationals.latent_diffusion.schedulers.dpm_solver import DPMSolver
from refiners.foundationals.latent_diffusion.schedulers.scheduler import Scheduler
from refiners.foundationals.latent_diffusion.schedulers.euler import EulerScheduler
from refiners.foundationals.latent_diffusion.schedulers.scheduler import Scheduler
__all__ = ["Scheduler", "DPMSolver", "DDPM", "DDIM", "EulerScheduler"]

2
src/refiners/foundationals/latent_diffusion/schedulers/ddim.py
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@ -1,4 +1,4 @@
from torch import Tensor, arange, device as Device, dtype as Dtype, float32, sqrt, tensor, Generator
from torch import Generator, Tensor, arange, device as Device, dtype as Dtype, float32, sqrt, tensor
from refiners.foundationals.latent_diffusion.schedulers.scheduler import NoiseSchedule, Scheduler

8
src/refiners/foundationals/latent_diffusion/schedulers/dpm_solver.py
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@ -1,8 +1,10 @@
from refiners.foundationals.latent_diffusion.schedulers.scheduler import NoiseSchedule, Scheduler
import numpy as np
from torch import Tensor, device as Device, tensor, exp, float32, dtype as Dtype, Generator
from collections import deque
import numpy as np
from torch import Generator, Tensor, device as Device, dtype as Dtype, exp, float32, tensor
from refiners.foundationals.latent_diffusion.schedulers.scheduler import NoiseSchedule, Scheduler
class DPMSolver(Scheduler):
"""Implements DPM-Solver++ from https://arxiv.org/abs/2211.01095

7
src/refiners/foundationals/latent_diffusion/schedulers/euler.py
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@ -1,7 +1,8 @@
from refiners.foundationals.latent_diffusion.schedulers.scheduler import NoiseSchedule, Scheduler
from torch import Tensor, device as Device, dtype as Dtype, float32, tensor, Generator
import torch
import numpy as np
import torch
from torch import Generator, Tensor, device as Device, dtype as Dtype, float32, tensor
from refiners.foundationals.latent_diffusion.schedulers.scheduler import NoiseSchedule, Scheduler
class EulerScheduler(Scheduler):

3
src/refiners/foundationals/latent_diffusion/schedulers/scheduler.py
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@ -1,8 +1,9 @@
from abc import ABC, abstractmethod
from enum import Enum
from torch import Tensor, device as Device, dtype as DType, linspace, float32, sqrt, log, Generator
from typing import TypeVar
from torch import Generator, Tensor, device as Device, dtype as DType, float32, linspace, log, sqrt
T = TypeVar("T", bound="Scheduler")

2
tests/foundationals/latent_diffusion/test_schedulers.py
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@ -2,7 +2,7 @@ from typing import cast
from warnings import warn
import pytest
from torch import Tensor, allclose, device as Device, equal, randn, isclose
from torch import Tensor, allclose, device as Device, equal, isclose, randn
from refiners.fluxion import manual_seed
from refiners.foundationals.latent_diffusion.schedulers import DDIM, DDPM, DPMSolver, EulerScheduler