From b78c5e87baaf8c88d039bf60082c3b5ae35ec4ff Mon Sep 17 00:00:00 2001 From: opparco Date: Sat, 11 Feb 2023 11:18:38 +0900 Subject: Add cfg_denoised_callback --- modules/sd_samplers_kdiffusion.py | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'modules/sd_samplers_kdiffusion.py') diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py index f076fc55..28847397 100644 --- a/modules/sd_samplers_kdiffusion.py +++ b/modules/sd_samplers_kdiffusion.py @@ -8,6 +8,7 @@ from modules import prompt_parser, devices, sd_samplers_common from modules.shared import opts, state import modules.shared as shared from modules.script_callbacks import CFGDenoiserParams, cfg_denoiser_callback +from modules.script_callbacks import CFGDenoisedParams, cfg_denoised_callback samplers_k_diffusion = [ ('Euler a', 'sample_euler_ancestral', ['k_euler_a', 'k_euler_ancestral'], {}), @@ -136,6 +137,9 @@ class CFGDenoiser(torch.nn.Module): x_out[-uncond.shape[0]:] = self.inner_model(x_in[-uncond.shape[0]:], sigma_in[-uncond.shape[0]:], cond={"c_crossattn": [uncond], "c_concat": [image_cond_in[-uncond.shape[0]:]]}) + denoised_params = CFGDenoisedParams(x_out, state.sampling_step, state.sampling_steps) + cfg_denoised_callback(denoised_params) + devices.test_for_nans(x_out, "unet") if opts.live_preview_content == "Prompt": -- cgit v1.2.1