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author | Kohaku-Blueleaf <59680068+KohakuBlueleaf@users.noreply.github.com> | 2023-05-22 13:52:46 +0000 |
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committer | Kohaku-Blueleaf <59680068+KohakuBlueleaf@users.noreply.github.com> | 2023-05-22 13:52:46 +0000 |
commit | a10487986925ca8fd07ee7ae7fc5034752298551 (patch) | |
tree | 7a2a468984a7393b6c47e714fc4b4da73341011d /modules/processing.py | |
parent | ee65e729319e4184fc0d49552657e98aa0e28f17 (diff) | |
download | stable-diffusion-webui-gfx803-a10487986925ca8fd07ee7ae7fc5034752298551.tar.gz stable-diffusion-webui-gfx803-a10487986925ca8fd07ee7ae7fc5034752298551.tar.bz2 stable-diffusion-webui-gfx803-a10487986925ca8fd07ee7ae7fc5034752298551.zip |
Add custom karras scheduler
Diffstat (limited to 'modules/processing.py')
-rw-r--r-- | modules/processing.py | 10 |
1 files changed, 9 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py index 29a3743f..b26f7998 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -106,7 +106,7 @@ class StableDiffusionProcessing: """
The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
"""
- 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):
+ 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, enable_karras: bool = False, sigma_min: float=0.1, sigma_max: float=10.0, rho: float=7.0):
if sampler_index is not None:
print("sampler_index argument for StableDiffusionProcessing does not do anything; use sampler_name", file=sys.stderr)
@@ -146,6 +146,10 @@ class StableDiffusionProcessing: self.s_tmin = s_tmin or opts.s_tmin
self.s_tmax = s_tmax or float('inf') # not representable as a standard ui option
self.s_noise = s_noise or opts.s_noise
+ self.enable_karras = enable_karras
+ self.sigma_max = sigma_max
+ self.sigma_min = sigma_min
+ self.rho = rho
self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}
self.override_settings_restore_afterwards = override_settings_restore_afterwards
self.is_using_inpainting_conditioning = False
@@ -558,6 +562,10 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter generation_params = {
"Steps": p.steps,
"Sampler": p.sampler_name,
+ "Enable Custom Karras Schedule": p.enable_karras,
+ "Karras Scheduler sigma_max": p.sigma_max,
+ "Karras Scheduler sigma_min": p.sigma_min,
+ "Karras Scheduler rho": p.rho,
"CFG scale": p.cfg_scale,
"Image CFG scale": getattr(p, 'image_cfg_scale', None),
"Seed": all_seeds[index],
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