Loading modules/script_callbacks.py +7 −1 Original line number Original line Diff line number Diff line Loading @@ -29,7 +29,7 @@ class ImageSaveParams: class CFGDenoiserParams: class CFGDenoiserParams: def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps): def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps, tensor, uncond): self.x = x self.x = x """Latent image representation in the process of being denoised""" """Latent image representation in the process of being denoised""" Loading @@ -45,6 +45,12 @@ class CFGDenoiserParams: self.total_sampling_steps = total_sampling_steps self.total_sampling_steps = total_sampling_steps """Total number of sampling steps planned""" """Total number of sampling steps planned""" self.tensor = tensor """ Encoder hidden states of condtioning""" self.uncond = uncond """ Encoder hidden states of unconditioning""" class CFGDenoisedParams: class CFGDenoisedParams: def __init__(self, x, sampling_step, total_sampling_steps): def __init__(self, x, sampling_step, total_sampling_steps): Loading Loading
modules/script_callbacks.py +7 −1 Original line number Original line Diff line number Diff line Loading @@ -29,7 +29,7 @@ class ImageSaveParams: class CFGDenoiserParams: class CFGDenoiserParams: def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps): def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps, tensor, uncond): self.x = x self.x = x """Latent image representation in the process of being denoised""" """Latent image representation in the process of being denoised""" Loading @@ -45,6 +45,12 @@ class CFGDenoiserParams: self.total_sampling_steps = total_sampling_steps self.total_sampling_steps = total_sampling_steps """Total number of sampling steps planned""" """Total number of sampling steps planned""" self.tensor = tensor """ Encoder hidden states of condtioning""" self.uncond = uncond """ Encoder hidden states of unconditioning""" class CFGDenoisedParams: class CFGDenoisedParams: def __init__(self, x, sampling_step, total_sampling_steps): def __init__(self, x, sampling_step, total_sampling_steps): Loading
