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Fix potential turbo scheduler model patching issue.

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comfyanonymous 2024-01-22 00:28:13 -05:00
parent 4871a36458
commit f2d432f9a7
1 changed files with 2 additions and 3 deletions
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5
comfy_extras/nodes_custom_sampler.py
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@ -105,9 +105,8 @@ class SDTurboScheduler:
def get_sigmas(self, model, steps, denoise): def get_sigmas(self, model, steps, denoise):
start_step = 10 - int(10 * denoise) start_step = 10 - int(10 * denoise)
timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps] timesteps = torch.flip(torch.arange(1, 11) * 100 - 1, (0,))[start_step:start_step + steps]
inner_model = model.patch_model(patch_weights=False) comfy.model_management.load_models_gpu([model])
sigmas = inner_model.model_sampling.sigma(timesteps) sigmas = model.model.model_sampling.sigma(timesteps)
model.unpatch_model()
sigmas = torch.cat([sigmas, sigmas.new_zeros([1])]) sigmas = torch.cat([sigmas, sigmas.new_zeros([1])])
return (sigmas, ) return (sigmas, )