From 8644e494be720a2a898eb4ed771d6109fec34858 Mon Sep 17 00:00:00 2001
From: C43H66N12O12S2 <36072735+C43H66N12O12S2@users.noreply.github.com>
Date: Wed, 28 Sep 2022 05:09:22 +0300
Subject: [PATCH] add eta to k ancestral

---
 modules/sd_samplers.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 666ee1ee2..17faeab11 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -39,8 +39,10 @@ samplers_for_img2img = [x for x in samplers if x.name != 'PLMS']
 
 sampler_extra_params = {
     'sample_euler':['s_churn','s_tmin','s_tmax','s_noise'],
+    'sample_euler_ancestral':['eta'],
     'sample_heun' :['s_churn','s_tmin','s_tmax','s_noise'],
     'sample_dpm_2':['s_churn','s_tmin','s_tmax','s_noise'],
+    'sample_dpm_2_ancestral':['eta'],
 }
 
 def setup_img2img_steps(p, steps=None):
@@ -154,9 +156,9 @@ class VanillaStableDiffusionSampler:
 
         # existing code fails with cetin step counts, like 9
         try:
-            samples_ddim, _ = self.sampler.sample(S=steps, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x, eta=p.ddim_eta)
+            samples_ddim, _ = self.sampler.sample(S=steps, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x, eta=p.eta)
         except Exception:
-            samples_ddim, _ = self.sampler.sample(S=steps+1, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x, eta=p.ddim_eta)
+            samples_ddim, _ = self.sampler.sample(S=steps+1, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x, eta=p.eta)
 
         return samples_ddim