nodes/kijai-ComfyUI-WanVideoWrapper
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Add euler/beta, clean scheduler selection code

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kijai
2025-03-26 23:12:15 +02:00
parent 901aff19fd
commit d20baf0024
1 changed files with 14 additions and 24 deletions
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nodes.py
+14 -24
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@@ -1670,7 +1670,7 @@ class WanVideoSampler:
"shift": ("FLOAT", {"default": 5.0, "min": 0.0, "max": 1000.0, "step": 0.01}),
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
"force_offload": ("BOOLEAN", {"default": True, "tooltip": "Moves the model to the offload device after sampling"}),
"scheduler": (["unipc", "dpm++", "dpm++_sde", "euler"],
"scheduler": (["unipc", "dpm++", "dpm++_sde", "euler", "euler/beta"],
{
"default": 'unipc'
}),
@@ -1713,36 +1713,26 @@ class WanVideoSampler:
steps = int(steps/denoise_strength)
scheduler_args = {
"num_train_timesteps": 1000,
"shift": shift,
"use_dynamic_shifting": False,
}
if scheduler == 'unipc':
sample_scheduler = FlowUniPCMultistepScheduler(
num_train_timesteps=1000,
shift=shift,
use_dynamic_shifting=False)
sample_scheduler.set_timesteps(
steps, device=device, shift=shift)
timesteps = sample_scheduler.timesteps
elif scheduler == 'euler':
sample_scheduler = FlowMatchEulerDiscreteScheduler(
num_train_timesteps=1000,
shift=shift,
use_dynamic_shifting=False)
sample_scheduler.set_timesteps(steps, device=device, mu=1)
timesteps = sample_scheduler.timesteps
sample_scheduler = FlowUniPCMultistepScheduler(**scheduler_args)
sample_scheduler.set_timesteps(steps, device=device, shift=shift)
elif scheduler in ['euler/beta', 'euler']:
sample_scheduler = FlowMatchEulerDiscreteScheduler(**scheduler_args, use_beta_sigmas=(scheduler == 'euler/beta'))
sample_scheduler.set_timesteps(steps, device=device, mu=1)
elif 'dpm++' in scheduler:
if scheduler == 'dpm++_sde':
algorithm_type = "sde-dpmsolver++"
else:
algorithm_type = "dpmsolver++"
sample_scheduler = FlowDPMSolverMultistepScheduler(
num_train_timesteps=1000,
shift=shift,
use_dynamic_shifting=False,
algorithm_type= algorithm_type)
sample_scheduler = FlowDPMSolverMultistepScheduler(**scheduler_args, algorithm_type= algorithm_type)
sample_scheduler.set_timesteps(steps, device=device, mu=1)
timesteps = sample_scheduler.timesteps
else:
raise NotImplementedError("Unsupported solver.")
timesteps = sample_scheduler.timesteps
if denoise_strength < 1.0:
steps = int(steps * denoise_strength)