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euler discrete

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Haoming 2026-02-14 14:42:46 +08:00
parent 765b559578
commit 52168e9b69
2 changed files with 32 additions and 0 deletions
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26
modules/sd_schedulers.py
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@ -200,6 +200,31 @@ def bong_tangent_scheduler(n, sigma_min, sigma_max, device, *, start=1.0, middle
return tan_sigmas.to(device)
def flow_match_euler_discrete_scheduler(n, sigma_min, sigma_max, inner_model, device):
from diffusers.schedulers.scheduling_flow_match_euler_discrete import FlowMatchEulerDiscreteScheduler
unet = inner_model.inner_model.forge_objects.unet
config = {
"num_train_timesteps": 1000,
"shift": getattr(unet.model.predictor, "shift", 1.0),
"use_dynamic_shifting": shared.opts.use_dynamic_shifting,
"invert_sigmas": shared.opts.invert_sigmas,
"shift_terminal": None,
"use_karras_sigmas": shared.opts.use_karras_sigmas,
"use_exponential_sigmas": shared.opts.use_exponential_sigmas,
"use_beta_sigmas": shared.opts.use_beta_sigmas,
"time_shift_type": "exponential",
"stochastic_sampling": shared.opts.stochastic_sampling,
}
scheduler = FlowMatchEulerDiscreteScheduler.from_config(config)
scheduler.set_timesteps(n, device=device, mu=0.0)
sigmas = scheduler.sigmas
return torch.FloatTensor(sigmas).to(device)
schedulers = [
Scheduler("automatic", "Automatic", None),
Scheduler("karras", "Karras", k_diffusion.sampling.get_sigmas_karras, default_rho=7.0),
@ -216,6 +241,7 @@ schedulers = [
Scheduler("beta", "Beta", beta_scheduler, need_inner_model=True),
Scheduler("turbo", "Turbo", turbo_scheduler, need_inner_model=True),
Scheduler("bong_tangent", "Bong Tangent", bong_tangent_scheduler),
Scheduler("flow_match", "FlowMatchEulerDiscrete", flow_match_euler_discrete_scheduler, need_inner_model=True),
]
schedulers_map = {**{x.name: x for x in schedulers}, **{x.label: x for x in schedulers}}

6
modules/shared_options.py
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@ -551,6 +551,12 @@ options_templates.update(
"sd_noise_schedule": OptionInfo("Default", "Noise schedule for sampling", gr.Radio, {"choices": ("Default", "Zero Terminal SNR")}, infotext="Noise Schedule"),
"beta_dist_alpha": OptionInfo(0.6, "Beta scheduler - alpha", gr.Slider, {"minimum": 0.01, "maximum": 2.0, "step": 0.01}, infotext="Beta scheduler alpha"),
"beta_dist_beta": OptionInfo(0.6, "Beta scheduler - beta", gr.Slider, {"minimum": 0.01, "maximum": 2.0, "step": 0.01}, infotext="Beta scheduler beta"),
"use_dynamic_shifting": OptionInfo(False, "use_dynamic_shifting"),
"invert_sigmas": OptionInfo(False, "invert_sigmas"),
"use_karras_sigmas": OptionInfo(False, "use_karras_sigmas"),
"use_exponential_sigmas": OptionInfo(False, "use_exponential_sigmas"),
"use_beta_sigmas": OptionInfo(False, "use_beta_sigmas"),
"stochastic_sampling": OptionInfo(False, "stochastic_sampling"),
},
)
)