Spaces:
Running
on
Zero
Running
on
Zero
Update clip_slider_pipeline.py
Browse files- clip_slider_pipeline.py +3 -3
clip_slider_pipeline.py
CHANGED
@@ -241,8 +241,8 @@ class CLIPSliderXL(CLIPSlider):
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)
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# We are only ALWAYS interested in the pooled output of the final text encoder
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-
pooled_prompt_embeds = prompt_embeds[0]
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-
prompt_embeds = prompt_embeds.hidden_states[-2]
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print("prompt_embeds.dtype",prompt_embeds.dtype)
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if avg_diff_2nd and normalize_scales:
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denominator = abs(scale) + abs(scale_2nd)
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@@ -286,7 +286,7 @@ class CLIPSliderXL(CLIPSlider):
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print(f"generation time - before pipe: {end_time - start_time:.2f} ms")
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torch.manual_seed(seed)
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start_time = time.time()
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-
image = self.pipe(prompt_embeds=prompt_embeds, pooled_prompt_embeds=pooled_prompt_embeds,
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**pipeline_kwargs).images[0]
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end_time = time.time()
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print(f"generation time - pipe: {end_time - start_time:.2f} ms")
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)
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# We are only ALWAYS interested in the pooled output of the final text encoder
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+
pooled_prompt_embeds = prompt_embeds[0]
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+
prompt_embeds = prompt_embeds.hidden_states[-2]
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print("prompt_embeds.dtype",prompt_embeds.dtype)
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if avg_diff_2nd and normalize_scales:
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denominator = abs(scale) + abs(scale_2nd)
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print(f"generation time - before pipe: {end_time - start_time:.2f} ms")
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torch.manual_seed(seed)
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start_time = time.time()
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+
image = self.pipe(prompt_embeds=prompt_embeds.to(torch.float16), pooled_prompt_embeds=pooled_prompt_embeds.to(torch.float16),
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**pipeline_kwargs).images[0]
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end_time = time.time()
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print(f"generation time - pipe: {end_time - start_time:.2f} ms")
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