openvinotoolkit/stable-diffusion-webui
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remove command line option

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papuSpartan 2023-05-13 09:24:56 -05:00
parent 75b3692920
commit 55e52c878a
2 changed files with 5 additions and 6 deletions
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1
modules/cmd_args.py
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@ -102,5 +102,4 @@ parser.add_argument("--no-gradio-queue", action='store_true', help="Disables gra
parser.add_argument("--skip-version-check", action='store_true', help="Do not check versions of torch and xformers")
parser.add_argument("--no-hashing", action='store_true', help="disable sha256 hashing of checkpoints to help loading performance", default=False)
parser.add_argument("--no-download-sd-model", action='store_true', help="don't download SD1.5 model even if no model is found in --ckpt-dir", default=False)
parser.add_argument("--token-merging", action='store_true', help="Provides speed and memory improvements by merging redundant tokens. This has a more pronounced effect on higher resolutions.", default=False)
parser.add_argument('--subpath', type=str, help='customize the subpath for gradio, use with reverse proxy')

10
modules/processing.py
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@ -496,8 +496,8 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
"Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,
"Clip skip": None if clip_skip <= 1 else clip_skip,
"ENSD": None if opts.eta_noise_seed_delta == 0 else opts.eta_noise_seed_delta,
"Token merging ratio": None if not (opts.token_merging or cmd_opts.token_merging) or opts.token_merging_hr_only else opts.token_merging_ratio,
"Token merging ratio hr": None if not (opts.token_merging or cmd_opts.token_merging) else opts.token_merging_ratio_hr,
"Token merging ratio": None if not opts.token_merging or opts.token_merging_hr_only else opts.token_merging_ratio,
"Token merging ratio hr": None if not opts.token_merging else opts.token_merging_ratio_hr,
"Token merging random": None if opts.token_merging_random is False else opts.token_merging_random,
"Token merging merge attention": None if opts.token_merging_merge_attention is True else opts.token_merging_merge_attention,
"Token merging merge cross attention": None if opts.token_merging_merge_cross_attention is False else opts.token_merging_merge_cross_attention,
@ -538,7 +538,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
if k == 'sd_vae':
sd_vae.reload_vae_weights()
if (opts.token_merging or cmd_opts.token_merging) and not opts.token_merging_hr_only:
if opts.token_merging and not opts.token_merging_hr_only:
sd_models.apply_token_merging(sd_model=p.sd_model, hr=False)
logger.debug('Token merging applied')
@ -546,7 +546,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
finally:
# undo model optimizations made by tomesd
if opts.token_merging or cmd_opts.token_merging:
if opts.token_merging:
tomesd.remove_patch(p.sd_model)
logger.debug('Token merging model optimizations removed')
@ -1004,7 +1004,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
# apply token merging optimizations from tomesd for high-res pass
# check if hr_only so we are not redundantly patching
if (cmd_opts.token_merging or opts.token_merging) and (opts.token_merging_hr_only or opts.token_merging_ratio_hr != opts.token_merging_ratio):
if opts.token_merging and (opts.token_merging_hr_only or opts.token_merging_ratio_hr != opts.token_merging_ratio):
# case where user wants to use separate merge ratios
if not opts.token_merging_hr_only:
# clean patch done by first pass. (clobbering the first patch might be fine? this might be excessive)