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from ml_collections import config_dict
import yaml
from diffusers.schedulers import (
DDIMScheduler,
EulerAncestralDiscreteScheduler,
EulerDiscreteScheduler,
DDPMScheduler,
)
from inversion_utils import (
deterministic_ddim_step,
deterministic_ddpm_step,
deterministic_euler_step,
deterministic_non_ancestral_euler_step,
)
BREAKDOWNS = ["x_t_c_hat", "x_t_hat_c", "no_breakdown", "x_t_hat_c_with_zeros"]
SCHEDULERS = ["ddpm", "ddim", "euler", "euler_non_ancestral"]
MODELS = [
"stabilityai/sdxl-turbo",
"stabilityai/stable-diffusion-xl-base-1.0",
"CompVis/stable-diffusion-v1-4",
]
def get_num_steps_actual(cfg):
return (
cfg.num_steps_inversion
- cfg.step_start
+ (1 if cfg.clean_step_timestep > 0 else 0)
if cfg.timesteps is None
else len(cfg.timesteps) + (1 if cfg.clean_step_timestep > 0 else 0)
)
def get_config(args):
if args.config_from_file and args.config_from_file != "":
with open(args.config_from_file, "r") as f:
cfg = config_dict.ConfigDict(yaml.safe_load(f))
num_steps_actual = get_num_steps_actual(cfg)
else:
cfg = config_dict.ConfigDict()
cfg.seed = 2
cfg.self_r = 0.5
cfg.cross_r = 0.9
cfg.eta = 1
cfg.scheduler_type = SCHEDULERS[0]
cfg.num_steps_inversion = 50 # timesteps: 999, 799, 599, 399, 199
cfg.step_start = 20
cfg.timesteps = None
cfg.noise_timesteps = None
num_steps_actual = get_num_steps_actual(cfg)
cfg.ws1 = [2] * num_steps_actual
cfg.ws2 = [1] * num_steps_actual
cfg.real_cfg_scale = 0
cfg.real_cfg_scale_save = 0
cfg.breakdown = BREAKDOWNS[1]
cfg.noise_shift_delta = 1
cfg.max_norm_zs = [-1] * (num_steps_actual - 1) + [15.5]
cfg.clean_step_timestep = 0
cfg.model = MODELS[1]
if cfg.scheduler_type == "ddim":
cfg.scheduler_class = DDIMScheduler
cfg.step_function = deterministic_ddim_step
elif cfg.scheduler_type == "ddpm":
cfg.scheduler_class = DDPMScheduler
cfg.step_function = deterministic_ddpm_step
elif cfg.scheduler_type == "euler":
cfg.scheduler_class = EulerAncestralDiscreteScheduler
cfg.step_function = deterministic_euler_step
elif cfg.scheduler_type == "euler_non_ancestral":
cfg.scheduler_class = EulerDiscreteScheduler
cfg.step_function = deterministic_non_ancestral_euler_step
else:
raise ValueError(f"Unknown scheduler type: {cfg.scheduler_type}")
with cfg.ignore_type():
if isinstance(cfg.max_norm_zs, (int, float)):
cfg.max_norm_zs = [cfg.max_norm_zs] * num_steps_actual
if isinstance(cfg.ws1, (int, float)):
cfg.ws1 = [cfg.ws1] * num_steps_actual
if isinstance(cfg.ws2, (int, float)):
cfg.ws2 = [cfg.ws2] * num_steps_actual
if not hasattr(cfg, "update_eta"):
cfg.update_eta = False
if not hasattr(cfg, "save_timesteps"):
cfg.save_timesteps = None
if not hasattr(cfg, "scheduler_timesteps"):
cfg.scheduler_timesteps = None
assert (
cfg.scheduler_type == "ddpm" or cfg.timesteps is None
), "timesteps must be None for ddim/euler"
cfg.max_norm_zs = [-1] * (num_steps_actual - 1) + [15.5]
assert (
len(cfg.max_norm_zs) == num_steps_actual
), f"len(cfg.max_norm_zs) ({len(cfg.max_norm_zs)}) != num_steps_actual ({num_steps_actual})"
assert (
len(cfg.ws1) == num_steps_actual
), f"len(cfg.ws1) ({len(cfg.ws1)}) != num_steps_actual ({num_steps_actual})"
assert (
len(cfg.ws2) == num_steps_actual
), f"len(cfg.ws2) ({len(cfg.ws2)}) != num_steps_actual ({num_steps_actual})"
assert cfg.noise_timesteps is None or len(cfg.noise_timesteps) == (
num_steps_actual - (1 if cfg.clean_step_timestep > 0 else 0)
), f"len(cfg.noise_timesteps) ({len(cfg.noise_timesteps)}) != num_steps_actual ({num_steps_actual})"
assert cfg.save_timesteps is None or len(cfg.save_timesteps) == (
num_steps_actual - (1 if cfg.clean_step_timestep > 0 else 0)
), f"len(cfg.save_timesteps) ({len(cfg.save_timesteps)}) != num_steps_actual ({num_steps_actual})"
return cfg
def get_config_name(config, args):
if args.folder_name is not None and args.folder_name != "":
return args.folder_name
timesteps_str = (
f"step_start {config.step_start}"
if config.timesteps is None
else f"timesteps {config.timesteps}"
)
return f"""\
ws1 {config.ws1[0]} ws2 {config.ws2[0]} real_cfg_scale {config.real_cfg_scale} {timesteps_str} \
real_cfg_scale_save {config.real_cfg_scale_save} seed {config.seed} max_norm_zs {config.max_norm_zs[-1]} noise_shift_delta {config.noise_shift_delta} \
scheduler_type {config.scheduler_type} fp16 {args.fp16}\
"""
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