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save latents_out earlier

This commit is contained in:
Johannes Stelzer 2024-01-08 15:59:54 +01:00
parent 95870823fc
commit 8170570f7a
1 changed files with 3 additions and 3 deletions
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6
diffusers_holder.py
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@ -262,9 +262,6 @@ class DiffusersHolder():
for i, t in enumerate(timesteps): for i, t in enumerate(timesteps):
# Set the right starting latents # Set the right starting latents
if i < idx_start:
list_latents_out.append(None)
continue
elif i == idx_start: elif i == idx_start:
latents = latents_start.clone() latents = latents_start.clone()
# Mix latents # Mix latents
@ -272,6 +269,9 @@ class DiffusersHolder():
latents_mixtarget = list_latents_mixing[i - 1].clone() latents_mixtarget = list_latents_mixing[i - 1].clone()
latents = interpolate_spherical(latents, latents_mixtarget, list_mixing_coeffs[i]) latents = interpolate_spherical(latents, latents_mixtarget, list_mixing_coeffs[i])
if i < idx_start:
list_latents_out.append(latents)
# expand the latents if we are doing classifier free guidance # expand the latents if we are doing classifier free guidance
latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
latent_model_input = self.pipe.scheduler.scale_model_input(latent_model_input, t) latent_model_input = self.pipe.scheduler.scale_model_input(latent_model_input, t)