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latentblending
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fix

This commit is contained in:
Johannes Stelzer 2024-01-08 16:19:08 +01:00
parent 4f901b5294
commit 196f8bc09e
1 changed files with 6 additions and 6 deletions
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12
diffusers_holder.py
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@ -576,7 +576,11 @@ class DiffusersHolder():
for i, t in enumerate(timesteps):
# Set the right starting latents
if i == idx_start:
# Write latents out and skip
if i < idx_start:
list_latents_out.append(None)
continue
elif i == idx_start:
latents = latents_start.clone()
# Mix latents for crossfeeding
@ -584,10 +588,6 @@ class DiffusersHolder():
latents_mixtarget = list_latents_mixing[i - 1].clone()
latents = interpolate_spherical(latents, latents_mixtarget, list_mixing_coeffs[i])
# Write latents out and skip
if i < idx_start:
list_latents_out.append(latents)
continue
# expand the latents if we are doing classifier free guidance
latent_model_input = torch.cat([latents] * 2) if self.pipe.do_classifier_free_guidance else latents
@ -701,7 +701,7 @@ class DiffusersHolder():
list_latents_out.append(None)
continue
# Set the right starting latents
if i == idx_start:
elif i == idx_start:
latents = latents_start.clone()
# Mix latents for crossfeeding