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Make progress bar + ETA work for stable diffusion #236

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Make progress bar + ETA work for stable diffusion #236

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5 changes: 3 additions & 2 deletions src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,8 @@

import torch

from tqdm.auto import tqdm
from tqdm.contrib import tenumerate

from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer

from ...models import AutoencoderKL, UNet2DConditionModel
Expand Down Expand Up @@ -126,7 +127,7 @@ def __call__(
if accepts_eta:
extra_step_kwargs["eta"] = eta

for i, t in tqdm(enumerate(self.scheduler.timesteps)):
for i, t in tenumerate(self.scheduler.timesteps):
# expand the latents if we are doing classifier free guidance
latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
if isinstance(self.scheduler, LMSDiscreteScheduler):
Expand Down