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remove excess condition

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This commit is contained in:
papuSpartan 2023-04-01 23:47:10 -05:00
parent a609bd56b4
commit c707b7df95
1 changed files with 15 additions and 14 deletions
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29
modules/processing.py
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@ -501,26 +501,26 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
if k == 'sd_vae':
sd_vae.reload_vae_weights()
if opts.token_merging:
if p.hr_second_pass_steps < 1 and not opts.token_merging_hr_only:
tomesd.apply_patch(
p.sd_model,
ratio=opts.token_merging_ratio,
max_downsample=opts.token_merging_maximum_down_sampling,
sx=opts.token_merging_stride_x,
sy=opts.token_merging_stride_y,
use_rand=opts.token_merging_random,
merge_attn=opts.token_merging_merge_attention,
merge_crossattn=opts.token_merging_merge_cross_attention,
merge_mlp=opts.token_merging_merge_mlp
)
if opts.token_merging and not opts.token_merging_hr_only:
print("applying token merging to all passes")
tomesd.apply_patch(
p.sd_model,
ratio=opts.token_merging_ratio,
max_downsample=opts.token_merging_maximum_down_sampling,
sx=opts.token_merging_stride_x,
sy=opts.token_merging_stride_y,
use_rand=opts.token_merging_random,
merge_attn=opts.token_merging_merge_attention,
merge_crossattn=opts.token_merging_merge_cross_attention,
merge_mlp=opts.token_merging_merge_mlp
)
res = process_images_inner(p)
finally:
# undo model optimizations made by tomesd
if opts.token_merging:
print('removing token merging model optimizations')
tomesd.remove_patch(p.sd_model)
# restore opts to original state
@ -961,6 +961,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
# apply token merging optimizations from tomesd for high-res pass
# check if hr_only so we don't redundantly apply patch
if opts.token_merging and opts.token_merging_hr_only:
print("applying token merging for high-res pass")
tomesd.apply_patch(
self.sd_model,
ratio=opts.token_merging_ratio,