From f8ff8c0638997fd0aef217db1505598846f14782 Mon Sep 17 00:00:00 2001
From: AUTOMATIC1111 <16777216c@gmail.com>
Date: Tue, 8 Aug 2023 22:09:40 +0300
Subject: merge errors

---
 modules/sd_samplers_timesteps.py | 27 +++++++++++++++++----------
 1 file changed, 17 insertions(+), 10 deletions(-)

(limited to 'modules/sd_samplers_timesteps.py')

diff --git a/modules/sd_samplers_timesteps.py b/modules/sd_samplers_timesteps.py
index d89d0efb..965e61c6 100644
--- a/modules/sd_samplers_timesteps.py
+++ b/modules/sd_samplers_timesteps.py
@@ -44,10 +44,10 @@ class CompVisTimestepsVDenoiser(torch.nn.Module):
 
 class CFGDenoiserTimesteps(CFGDenoiser):
 
-    def __init__(self, model, sampler):
-        super().__init__(model, sampler)
+    def __init__(self, sampler):
+        super().__init__(sampler)
 
-        self.alphas = model.inner_model.alphas_cumprod
+        self.alphas = shared.sd_model.alphas_cumprod
 
     def get_pred_x0(self, x_in, x_out, sigma):
         ts = int(sigma.item())
@@ -60,6 +60,14 @@ class CFGDenoiserTimesteps(CFGDenoiser):
 
         return pred_x0
 
+    @property
+    def inner_model(self):
+        if self.model_wrap is None:
+            denoiser = CompVisTimestepsVDenoiser if shared.sd_model.parameterization == "v" else CompVisTimestepsDenoiser
+            self.model_wrap = denoiser(shared.sd_model)
+
+        return self.model_wrap
+
 
 class CompVisSampler(sd_samplers_common.Sampler):
     def __init__(self, funcname, sd_model):
@@ -68,9 +76,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
         self.eta_option_field = 'eta_ddim'
         self.eta_infotext_field = 'Eta DDIM'
 
-        denoiser = CompVisTimestepsVDenoiser if sd_model.parameterization == "v" else CompVisTimestepsDenoiser
-        self.model_wrap = denoiser(sd_model)
-        self.model_wrap_cfg = CFGDenoiserTimesteps(self.model_wrap, self)
+        self.model_wrap_cfg = CFGDenoiserTimesteps(self)
 
     def get_timesteps(self, p, steps):
         discard_next_to_last_sigma = self.config is not None and self.config.options.get('discard_next_to_last_sigma', False)
@@ -106,7 +112,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
 
         self.model_wrap_cfg.init_latent = x
         self.last_latent = x
-        extra_args = {
+        self.sampler_extra_args = {
             'cond': conditioning,
             'image_cond': image_conditioning,
             'uncond': unconditional_conditioning,
@@ -114,7 +120,7 @@ class CompVisSampler(sd_samplers_common.Sampler):
             's_min_uncond': self.s_min_uncond
         }
 
-        samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
+        samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
 
         if self.model_wrap_cfg.padded_cond_uncond:
             p.extra_generation_params["Pad conds"] = True
@@ -132,13 +138,14 @@ class CompVisSampler(sd_samplers_common.Sampler):
             extra_params_kwargs['timesteps'] = timesteps
 
         self.last_latent = x
-        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
+        self.sampler_extra_args = {
             'cond': conditioning,
             'image_cond': image_conditioning,
             'uncond': unconditional_conditioning,
             'cond_scale': p.cfg_scale,
             's_min_uncond': self.s_min_uncond
-        }, disable=False, callback=self.callback_state, **extra_params_kwargs))
+        }
+        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
 
         if self.model_wrap_cfg.padded_cond_uncond:
             p.extra_generation_params["Pad conds"] = True
-- 
cgit v1.2.3