diff options
| -rw-r--r-- | javascript/hints.js | 4 | ||||
| -rw-r--r-- | modules/generation_parameters_copypaste.py | 1 | ||||
| -rw-r--r-- | modules/sd_samplers_kdiffusion.py | 11 | ||||
| -rw-r--r-- | modules/ui_extensions.py | 5 |
4 files changed, 18 insertions, 3 deletions
diff --git a/javascript/hints.js b/javascript/hints.js index 05ae5f22..dc75ce31 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -15,7 +15,7 @@ var titles = { "CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results", "Seed": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result", "\u{1f3b2}\ufe0f": "Set seed to -1, which will cause a new random number to be used every time", - "\u267b\ufe0f": "Reuse seed from last generation, mostly useful if it was randomed", + "\u267b\ufe0f": "Reuse seed from last generation, mostly useful if it was randomized", "\u2199\ufe0f": "Read generation parameters from prompt or last generation if prompt is empty into user interface.", "\u{1f4c2}": "Open images output directory", "\u{1f4be}": "Save style", @@ -112,7 +112,7 @@ var titles = { "Resize height to": "Resizes image to this height. If 0, height is inferred from either of two nearby sliders.", "Multiplier for extra networks": "When adding extra network such as Hypernetwork or Lora to prompt, use this multiplier for it.", "Discard weights with matching name": "Regular expression; if weights's name matches it, the weights is not written to the resulting checkpoint. Use ^model_ema to discard EMA weights.", - "Extra networks tab order": "Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order lsited.", + "Extra networks tab order": "Comma-separated list of tab names; tabs listed here will appear in the extra networks UI first and in order listed.", "Negative Guidance minimum sigma": "Skip negative prompt for steps where image is already mostly denoised; the higher this value, the more skips there will be; provides increased performance in exchange for minor quality reduction." }; diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py index a638f912..dd30a1b5 100644 --- a/modules/generation_parameters_copypaste.py +++ b/modules/generation_parameters_copypaste.py @@ -357,6 +357,7 @@ infotext_to_setting_name_mapping = [ ('Token merging ratio hr', 'token_merging_ratio_hr'),
('RNG', 'randn_source'),
('NGMS', 's_min_uncond'),
+ ('Pad conds', 'pad_cond_uncond'),
]
diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py index f8a0c7ba..71581b76 100644 --- a/modules/sd_samplers_kdiffusion.py +++ b/modules/sd_samplers_kdiffusion.py @@ -69,6 +69,7 @@ class CFGDenoiser(torch.nn.Module): self.init_latent = None
self.step = 0
self.image_cfg_scale = None
+ self.padded_cond_uncond = False
def combine_denoised(self, x_out, conds_list, uncond, cond_scale):
denoised_uncond = x_out[-uncond.shape[0]:]
@@ -133,15 +134,17 @@ class CFGDenoiser(torch.nn.Module): x_in = x_in[:-batch_size]
sigma_in = sigma_in[:-batch_size]
- # TODO add infotext entry
+ self.padded_cond_uncond = False
if shared.opts.pad_cond_uncond and tensor.shape[1] != uncond.shape[1]:
empty = shared.sd_model.cond_stage_model_empty_prompt
num_repeats = (tensor.shape[1] - uncond.shape[1]) // empty.shape[1]
if num_repeats < 0:
tensor = torch.cat([tensor, empty.repeat((tensor.shape[0], -num_repeats, 1))], axis=1)
+ self.padded_cond_uncond = True
elif num_repeats > 0:
uncond = torch.cat([uncond, empty.repeat((uncond.shape[0], num_repeats, 1))], axis=1)
+ self.padded_cond_uncond = True
if tensor.shape[1] == uncond.shape[1] or skip_uncond:
if is_edit_model:
@@ -405,6 +408,9 @@ class KDiffusionSampler: samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
+ if self.model_wrap_cfg.padded_cond_uncond:
+ p.extra_generation_params["Pad conds"] = True
+
return samples
def sample(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
@@ -438,5 +444,8 @@ class KDiffusionSampler: 's_min_uncond': self.s_min_uncond
}, disable=False, callback=self.callback_state, **extra_params_kwargs))
+ if self.model_wrap_cfg.padded_cond_uncond:
+ p.extra_generation_params["Pad conds"] = True
+
return samples
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py index 4379a641..c7e0a866 100644 --- a/modules/ui_extensions.py +++ b/modules/ui_extensions.py @@ -325,6 +325,11 @@ def normalize_git_url(url): def install_extension_from_url(dirname, url, branch_name=None):
check_access()
+ if isinstance(dirname, str):
+ dirname = dirname.strip()
+ if isinstance(url, str):
+ url = url.strip()
+
assert url, 'No URL specified'
if dirname is None or dirname == "":
|