mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-12-29 02:45:05 +08:00
add proper infotext support for #15607
fix settings override not working for NGMI, s_churn, etc...
This commit is contained in:
AUTOMATIC1111
parent
b150b3a3a4
commit
5429e4cff5
@ -238,11 +238,6 @@ class StableDiffusionProcessing:
|
||||
self.styles = []
|
||||
|
||||
self.sampler_noise_scheduler_override = None
|
||||
self.s_min_uncond = self.s_min_uncond if self.s_min_uncond is not None else opts.s_min_uncond
|
||||
self.s_churn = self.s_churn if self.s_churn is not None else opts.s_churn
|
||||
self.s_tmin = self.s_tmin if self.s_tmin is not None else opts.s_tmin
|
||||
self.s_tmax = (self.s_tmax if self.s_tmax is not None else opts.s_tmax) or float('inf')
|
||||
self.s_noise = self.s_noise if self.s_noise is not None else opts.s_noise
|
||||
|
||||
self.extra_generation_params = self.extra_generation_params or {}
|
||||
self.override_settings = self.override_settings or {}
|
||||
@ -259,6 +254,13 @@ class StableDiffusionProcessing:
|
||||
self.cached_uc = StableDiffusionProcessing.cached_uc
|
||||
self.cached_c = StableDiffusionProcessing.cached_c
|
||||
|
||||
def fill_fields_from_opts(self):
|
||||
self.s_min_uncond = self.s_min_uncond if self.s_min_uncond is not None else opts.s_min_uncond
|
||||
self.s_churn = self.s_churn if self.s_churn is not None else opts.s_churn
|
||||
self.s_tmin = self.s_tmin if self.s_tmin is not None else opts.s_tmin
|
||||
self.s_tmax = (self.s_tmax if self.s_tmax is not None else opts.s_tmax) or float('inf')
|
||||
self.s_noise = self.s_noise if self.s_noise is not None else opts.s_noise
|
||||
|
||||
@property
|
||||
def sd_model(self):
|
||||
return shared.sd_model
|
||||
@ -794,7 +796,6 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
|
||||
"Token merging ratio hr": None if not enable_hr or token_merging_ratio_hr == 0 else token_merging_ratio_hr,
|
||||
"Init image hash": getattr(p, 'init_img_hash', None),
|
||||
"RNG": opts.randn_source if opts.randn_source != "GPU" else None,
|
||||
"NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond,
|
||||
"Tiling": "True" if p.tiling else None,
|
||||
**p.extra_generation_params,
|
||||
"Version": program_version() if opts.add_version_to_infotext else None,
|
||||
@ -890,6 +891,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
modules.sd_hijack.model_hijack.apply_circular(p.tiling)
|
||||
modules.sd_hijack.model_hijack.clear_comments()
|
||||
|
||||
p.fill_fields_from_opts()
|
||||
p.setup_prompts()
|
||||
|
||||
if isinstance(seed, list):
|
||||
|
||||
@ -214,12 +214,14 @@ class CFGDenoiser(torch.nn.Module):
|
||||
|
||||
if shared.opts.skip_early_cond != 0. and self.step / self.total_steps <= shared.opts.skip_early_cond:
|
||||
skip_uncond = True
|
||||
x_in = x_in[:-batch_size]
|
||||
sigma_in = sigma_in[:-batch_size]
|
||||
|
||||
# alternating uncond allows for higher thresholds without the quality loss normally expected from raising it
|
||||
if (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
|
||||
self.p.extra_generation_params["Skip Early CFG"] = shared.opts.skip_early_cond
|
||||
elif (self.step % 2 or shared.opts.s_min_uncond_all) and s_min_uncond > 0 and sigma[0] < s_min_uncond and not is_edit_model:
|
||||
skip_uncond = True
|
||||
self.p.extra_generation_params["NGMS"] = s_min_uncond
|
||||
if shared.opts.s_min_uncond_all:
|
||||
self.p.extra_generation_params["NGMS all steps"] = shared.opts.s_min_uncond_all
|
||||
|
||||
if skip_uncond:
|
||||
x_in = x_in[:-batch_size]
|
||||
sigma_in = sigma_in[:-batch_size]
|
||||
|
||||
|
||||
@ -209,8 +209,8 @@ options_templates.update(options_section(('img2img', "img2img", "sd"), {
|
||||
|
||||
options_templates.update(options_section(('optimizations', "Optimizations", "sd"), {
|
||||
"cross_attention_optimization": OptionInfo("Automatic", "Cross attention optimization", gr.Dropdown, lambda: {"choices": shared_items.cross_attention_optimizations()}),
|
||||
"s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}).link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
|
||||
"s_min_uncond_all": OptionInfo(False, "NGMS: Skip every step").info("makes Negative Guidance minimum sigma skip negative guidance on every step instead of only half"),
|
||||
"s_min_uncond": OptionInfo(0.0, "Negative Guidance minimum sigma", gr.Slider, {"minimum": 0.0, "maximum": 15.0, "step": 0.01}, infotext='NGMS').link("PR", "https://github.com/AUTOMATIC1111/stablediffusion-webui/pull/9177").info("skip negative prompt for some steps when the image is almost ready; 0=disable, higher=faster"),
|
||||
"s_min_uncond_all": OptionInfo(False, "Negative Guidance minimum sigma all steps", infotext='NGMS all steps').info("By default, NGMS above skips every other step; this makes it skip all steps"),
|
||||
"token_merging_ratio": OptionInfo(0.0, "Token merging ratio", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio').link("PR", "https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/9256").info("0=disable, higher=faster"),
|
||||
"token_merging_ratio_img2img": OptionInfo(0.0, "Token merging ratio for img2img", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}).info("only applies if non-zero and overrides above"),
|
||||
"token_merging_ratio_hr": OptionInfo(0.0, "Token merging ratio for high-res pass", gr.Slider, {"minimum": 0.0, "maximum": 0.9, "step": 0.1}, infotext='Token merging ratio hr').info("only applies if non-zero and overrides above"),
|
||||
@ -382,7 +382,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
|
||||
'uni_pc_order': OptionInfo(3, "UniPC order", gr.Slider, {"minimum": 1, "maximum": 50, "step": 1}, infotext='UniPC order').info("must be < sampling steps"),
|
||||
'uni_pc_lower_order_final': OptionInfo(True, "UniPC lower order final", infotext='UniPC lower order final'),
|
||||
'sd_noise_schedule': OptionInfo("Default", "Noise schedule for sampling", gr.Radio, {"choices": ["Default", "Zero Terminal SNR"]}, infotext="Noise Schedule").info("for use with zero terminal SNR trained models"),
|
||||
'skip_early_cond': OptionInfo(0, "Skip CFG during early sampling", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext="Skip Early CFG").info("CFG will be disabled (set to 1) on early steps, can both improve sample diversity/quality and speed up sampling"),
|
||||
'skip_early_cond': OptionInfo(0.0, "Ignore negative prompt during early sampling", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}, infotext="Skip Early CFG").info("disables CFG on a proportion of steps at the beginning of generation; 0=skip none; 1=skip all; can both improve sample diversity/quality and speed up sampling"),
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('postprocessing', "Postprocessing", "postprocessing"), {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user