diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/processing.py | 47 | ||||
| -rw-r--r-- | modules/shared.py | 1 |
2 files changed, 34 insertions, 14 deletions
diff --git a/modules/processing.py b/modules/processing.py index f8225b83..b700a718 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -106,6 +106,9 @@ class StableDiffusionProcessing: """
The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
"""
+ cached_uc = [None, None]
+ cached_c = [None, None]
+
def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1, seed_enable_extras: bool = True, sampler_name: str = None, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_min_uncond: float = 0.0, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None, override_settings_restore_afterwards: bool = True, sampler_index: int = None, script_args: list = None):
if sampler_index is not None:
print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
@@ -176,8 +179,8 @@ class StableDiffusionProcessing: self.subseeds = None
self.step_multiplier = 1
- self.cached_uc = [None, None]
- self.cached_c = [None, None]
+ self.cached_uc = StableDiffusionProcessing.cached_uc
+ self.cached_c = StableDiffusionProcessing.cached_c
self.uc = None
self.c = None
@@ -289,8 +292,9 @@ class StableDiffusionProcessing: self.sampler = None
self.c = None
self.uc = None
- self.cached_c = [None, None]
- self.cached_uc = [None, None]
+ if not opts.experimental_persistent_cond_cache:
+ StableDiffusionProcessing.cached_c = [None, None]
+ StableDiffusionProcessing.cached_uc = [None, None]
def get_token_merging_ratio(self, for_hr=False):
if for_hr:
@@ -324,7 +328,6 @@ class StableDiffusionProcessing: caches is a list with items described above.
"""
-
for cache in caches:
if cache[0] is not None and (required_prompts, steps, opts.CLIP_stop_at_last_layers, shared.sd_model.sd_checkpoint_info, extra_network_data) == cache[0]:
return cache[1]
@@ -340,7 +343,6 @@ class StableDiffusionProcessing: def setup_conds(self):
sampler_config = sd_samplers.find_sampler_config(self.sampler_name)
self.step_multiplier = 2 if sampler_config and sampler_config.options.get("second_order", False) else 1
-
self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, self.negative_prompts, self.steps * self.step_multiplier, [self.cached_uc], self.extra_network_data)
self.c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, self.prompts, self.steps * self.step_multiplier, [self.cached_c], self.extra_network_data)
@@ -868,6 +870,8 @@ def old_hires_fix_first_pass_dimensions(width, height): class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
sampler = None
+ cached_hr_uc = [None, None]
+ cached_hr_c = [None, None]
def __init__(self, enable_hr: bool = False, denoising_strength: float = 0.75, firstphase_width: int = 0, firstphase_height: int = 0, hr_scale: float = 2.0, hr_upscaler: str = None, hr_second_pass_steps: int = 0, hr_resize_x: int = 0, hr_resize_y: int = 0, hr_sampler_name: str = None, hr_prompt: str = '', hr_negative_prompt: str = '', **kwargs):
super().__init__(**kwargs)
@@ -900,8 +904,8 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): self.hr_negative_prompts = None
self.hr_extra_network_data = None
- self.cached_hr_uc = [None, None]
- self.cached_hr_c = [None, None]
+ self.cached_hr_uc = StableDiffusionProcessingTxt2Img.cached_hr_uc
+ self.cached_hr_c = StableDiffusionProcessingTxt2Img.cached_hr_c
self.hr_c = None
self.hr_uc = None
@@ -1079,10 +1083,12 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): return samples
def close(self):
- self.cached_hr_uc = [None, None]
- self.cached_hr_c = [None, None]
+ super().close()
self.hr_c = None
self.hr_uc = None
+ if not opts.experimental_persistent_cond_cache:
+ StableDiffusionProcessingTxt2Img.cached_hr_uc = [None, None]
+ StableDiffusionProcessingTxt2Img.cached_hr_c = [None, None]
def setup_prompts(self):
super().setup_prompts()
@@ -1150,7 +1156,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
sampler = None
- def __init__(self, init_images: list = None, resize_mode: int = 0, denoising_strength: float = 0.75, image_cfg_scale: float = None, mask: Any = None, mask_blur: int = 4, inpainting_fill: int = 0, inpaint_full_res: bool = True, inpaint_full_res_padding: int = 0, inpainting_mask_invert: int = 0, initial_noise_multiplier: float = None, **kwargs):
+ def __init__(self, init_images: list = None, resize_mode: int = 0, denoising_strength: float = 0.75, image_cfg_scale: float = None, mask: Any = None, mask_blur: int = None, mask_blur_x: int = 4, mask_blur_y: int = 4, inpainting_fill: int = 0, inpaint_full_res: bool = True, inpaint_full_res_padding: int = 0, inpainting_mask_invert: int = 0, initial_noise_multiplier: float = None, **kwargs):
super().__init__(**kwargs)
self.init_images = init_images
@@ -1161,7 +1167,11 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): self.image_mask = mask
self.latent_mask = None
self.mask_for_overlay = None
- self.mask_blur = mask_blur
+ if mask_blur is not None:
+ mask_blur_x = mask_blur
+ mask_blur_y = mask_blur
+ self.mask_blur_x = mask_blur_x
+ self.mask_blur_y = mask_blur_y
self.inpainting_fill = inpainting_fill
self.inpaint_full_res = inpaint_full_res
self.inpaint_full_res_padding = inpaint_full_res_padding
@@ -1183,8 +1193,17 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): if self.inpainting_mask_invert:
image_mask = ImageOps.invert(image_mask)
- if self.mask_blur > 0:
- image_mask = image_mask.filter(ImageFilter.GaussianBlur(self.mask_blur))
+ if self.mask_blur_x > 0:
+ np_mask = np.array(image_mask)
+ kernel_size = 2 * int(4 * self.mask_blur_x + 0.5) + 1
+ np_mask = cv2.GaussianBlur(np_mask, (kernel_size, 1), self.mask_blur_x)
+ image_mask = Image.fromarray(np_mask)
+
+ if self.mask_blur_y > 0:
+ np_mask = np.array(image_mask)
+ kernel_size = 2 * int(4 * self.mask_blur_y + 0.5) + 1
+ np_mask = cv2.GaussianBlur(np_mask, (1, kernel_size), self.mask_blur_y)
+ image_mask = Image.fromarray(np_mask)
if self.inpaint_full_res:
self.mask_for_overlay = image_mask
diff --git a/modules/shared.py b/modules/shared.py index c9ee2dd1..91c31d55 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -421,6 +421,7 @@ options_templates.update(options_section(('optimizations', "Optimizations"), { "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}).info("only applies if non-zero and overrides above"),
"pad_cond_uncond": OptionInfo(False, "Pad prompt/negative prompt to be same length").info("improves performance when prompt and negative prompt have different lengths; changes seeds"),
+ "experimental_persistent_cond_cache": OptionInfo(False, "persistent cond cache").info("Experimental, keep cond caches across jobs, reduce overhead."),
}))
options_templates.update(options_section(('compatibility', "Compatibility"), {
|