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add p to cfgdenoiserparams

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continue-revolution 2024-01-07 10:25:01 -06:00
parent 2f98a35fc4
commit 425507bd10
2 changed files with 5 additions and 2 deletions
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5
modules/script_callbacks.py
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@ -41,7 +41,7 @@ class ExtraNoiseParams:
class CFGDenoiserParams: class CFGDenoiserParams:
def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps, text_cond, text_uncond): def __init__(self, x, image_cond, sigma, sampling_step, total_sampling_steps, text_cond, text_uncond, p):
self.x = x self.x = x
"""Latent image representation in the process of being denoised""" """Latent image representation in the process of being denoised"""
@ -63,6 +63,9 @@ class CFGDenoiserParams:
self.text_uncond = text_uncond self.text_uncond = text_uncond
""" Encoder hidden states of text conditioning from negative prompt""" """ Encoder hidden states of text conditioning from negative prompt"""
self.p = p
"""StableDiffusionProcessing object with processing parameters"""
class CFGDenoisedParams: class CFGDenoisedParams:
def __init__(self, x, sampling_step, total_sampling_steps, inner_model): def __init__(self, x, sampling_step, total_sampling_steps, inner_model):

2
modules/sd_samplers_cfg_denoiser.py
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@ -146,7 +146,7 @@ class CFGDenoiser(torch.nn.Module):
sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma] + [sigma]) sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma] + [sigma])
image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_uncond] + [torch.zeros_like(self.init_latent)]) image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_uncond] + [torch.zeros_like(self.init_latent)])
denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps, tensor, uncond) denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps, tensor, uncond, self.p)
cfg_denoiser_callback(denoiser_params) cfg_denoiser_callback(denoiser_params)
x_in = denoiser_params.x x_in = denoiser_params.x
image_cond_in = denoiser_params.image_cond image_cond_in = denoiser_params.image_cond