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revise NGMS

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layerdiffusion
2024-08-22 23:07:05 -07:00
parent 7b3b5fd0fd
commit 0bf68c5448
1 changed files with 3 additions and 6 deletions
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9
modules/sd_samplers_cfg_denoiser.py
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@@ -182,20 +182,17 @@ class CFGDenoiser(torch.nn.Module):
denoiser_params = CFGDenoiserParams(x, image_cond, sigma, state.sampling_step, state.sampling_steps, cond, uncond, self)
cfg_denoiser_callback(denoiser_params)
skip_uncond = False
# NGMS
if shared.opts.skip_early_cond > 0 and self.step / self.total_steps <= shared.opts.skip_early_cond:
skip_uncond = True
cond_scale = 1.0
self.p.extra_generation_params["Skip Early CFG"] = shared.opts.skip_early_cond
elif (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond:
skip_uncond = True
cond_scale = 1.0
self.p.extra_generation_params["NGMS"] = s_min_uncond
if shared.opts.s_min_uncond_all:
self.p.extra_generation_params["NGMS all steps"] = shared.opts.s_min_uncond_all
if skip_uncond:
cond_scale = 1.0
denoised, cond_pred, uncond_pred = sampling_function(self, denoiser_params=denoiser_params, cond_scale=cond_scale, cond_composition=cond_composition)
if self.need_last_noise_uncond: