diff options
| -rw-r--r-- | modules/sd_samplers.py | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py index cc682593..f58a29b9 100644 --- a/modules/sd_samplers.py +++ b/modules/sd_samplers.py @@ -210,6 +210,7 @@ class VanillaStableDiffusionSampler: x1 = self.sampler.stochastic_encode(x, torch.tensor([t_enc] * int(x.shape[0])).to(shared.device), noise=noise)
self.init_latent = x
+ self.last_latent = x
self.step = 0
# Wrap the conditioning models with additional image conditioning for inpainting model
@@ -226,6 +227,7 @@ class VanillaStableDiffusionSampler: self.initialize(p)
self.init_latent = None
+ self.last_latent = x
self.step = 0
steps = steps or p.steps
@@ -416,6 +418,7 @@ class KDiffusionSampler: extra_params_kwargs['sigmas'] = sigma_sched
self.model_wrap_cfg.init_latent = x
+ self.last_latent = x
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
'cond': conditioning,
@@ -447,6 +450,7 @@ class KDiffusionSampler: else:
extra_params_kwargs['sigmas'] = sigmas
+ self.last_latent = x
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
'cond': conditioning,
'image_cond': image_conditioning,
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