wehub-resource-sync
77 lines
2.6 KiB
Python
Executable File
77 lines
2.6 KiB
Python
Executable File
# Copyright 2024 NVIDIA CORPORATION & AFFILIATES
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
# Modified from OpenAI's diffusion repos
|
|
# GLIDE: https://github.com/openai/glide-text2im/blob/main/glide_text2im/gaussian_diffusion.py
|
|
# ADM: https://github.com/openai/guided-diffusion/blob/main/guided_diffusion
|
|
# IDDPM: https://github.com/openai/improved-diffusion/blob/main/improved_diffusion/gaussian_diffusion.py
|
|
|
|
from diffusion.model import gaussian_diffusion as gd
|
|
from diffusion.model.respace import SpacedDiffusion, space_timesteps
|
|
|
|
|
|
def Scheduler(
|
|
timestep_respacing,
|
|
noise_schedule="linear",
|
|
use_kl=False,
|
|
sigma_small=False,
|
|
predict_xstart=False,
|
|
predict_flow_v=False,
|
|
learn_sigma=True,
|
|
pred_sigma=True,
|
|
rescale_learned_sigmas=False,
|
|
diffusion_steps=1000,
|
|
snr=False,
|
|
return_startx=False,
|
|
flow_shift=1.0,
|
|
):
|
|
betas = gd.get_named_beta_schedule(noise_schedule, diffusion_steps)
|
|
if use_kl:
|
|
loss_type = gd.LossType.RESCALED_KL
|
|
elif rescale_learned_sigmas:
|
|
loss_type = gd.LossType.RESCALED_MSE
|
|
else:
|
|
loss_type = gd.LossType.MSE
|
|
if timestep_respacing is None or timestep_respacing == "":
|
|
timestep_respacing = [diffusion_steps]
|
|
if predict_xstart:
|
|
model_mean_type = gd.ModelMeanType.START_X
|
|
elif predict_flow_v:
|
|
model_mean_type = gd.ModelMeanType.FLOW_VELOCITY
|
|
else:
|
|
model_mean_type = gd.ModelMeanType.EPSILON
|
|
return SpacedDiffusion(
|
|
use_timesteps=space_timesteps(diffusion_steps, timestep_respacing),
|
|
betas=betas,
|
|
model_mean_type=model_mean_type,
|
|
model_var_type=(
|
|
(
|
|
(gd.ModelVarType.FIXED_LARGE if not sigma_small else gd.ModelVarType.FIXED_SMALL)
|
|
if not learn_sigma
|
|
else gd.ModelVarType.LEARNED_RANGE
|
|
)
|
|
if pred_sigma
|
|
else None
|
|
),
|
|
loss_type=loss_type,
|
|
snr=snr,
|
|
return_startx=return_startx,
|
|
# rescale_timesteps=rescale_timesteps,
|
|
flow="flow" in noise_schedule,
|
|
flow_shift=flow_shift,
|
|
diffusion_steps=diffusion_steps,
|
|
)
|