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fix in sdxl

This commit is contained in:
Johannes Stelzer 2024-01-08 16:09:28 +01:00
parent 3a202ae892
commit e16862571d
1 changed files with 6 additions and 4 deletions
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10
diffusers_holder.py
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@ -695,10 +695,7 @@ class DiffusersHolder():
# 8. Denoising loop # 8. Denoising loop
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: if i == idx_start:
list_latents_out.append(None)
continue
elif i == idx_start:
latents = latents_start.clone() latents = latents_start.clone()
# Mix latents for crossfeeding # Mix latents for crossfeeding
@ -706,6 +703,11 @@ 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])
# 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 # 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
# Always scale latents # Always scale latents