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Fix crashing when using 2.1 model

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We now require more free memory to avoid attention slicing. 17.5% free was not sufficient headroom, so now we require 25%.
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Jonathan 2023-02-21 12:35:03 -06:00 committed by GitHub
parent 3ab9d02883
commit 71bbd78574
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ldm/invoke/generator/diffusers_pipeline.py
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@ -330,7 +330,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
16 * \ 16 * \
latents.size(dim=2) * latents.size(dim=3) * latents.size(dim=2) * latents.size(dim=3) * \ latents.size(dim=2) * latents.size(dim=3) * latents.size(dim=2) * latents.size(dim=3) * \
bytes_per_element_needed_for_baddbmm_duplication bytes_per_element_needed_for_baddbmm_duplication
if max_size_required_for_baddbmm > (mem_free * 3.3 / 4.0): # 3.3 / 4.0 is from old Invoke code if max_size_required_for_baddbmm > (mem_free * 3.0 / 4.0): # 3.3 / 4.0 is from old Invoke code
self.enable_attention_slicing(slice_size='max') self.enable_attention_slicing(slice_size='max')
else: else:
self.disable_attention_slicing() self.disable_attention_slicing()