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Replace karras by k_diffusion, fix gen info

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This commit is contained in:
Kohaku-Blueleaf 2023-05-22 23:26:28 +08:00
parent f821051443
commit 7882f76da4
5 changed files with 12 additions and 10 deletions
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2
modules/img2img.py
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@ -155,7 +155,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
inpaint_full_res_padding=inpaint_full_res_padding,
inpainting_mask_invert=inpainting_mask_invert,
override_settings=override_settings,
enable_karras=enable_k_sched,
enable_custom_k_sched=enable_k_sched,
k_sched_type=k_sched_type,
sigma_min=sigma_min,
sigma_max=sigma_max,

14
modules/processing.py
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@ -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, enable_karras: bool = False, k_sched_type: str = "karras", sigma_min: float=0.1, sigma_max: float=10.0, rho: float=7.0):
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_custom_k_sched: bool = False, k_sched_type: str = "karras", 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)
@ -146,7 +146,7 @@ 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.enable_custom_k_sched = enable_custom_k_sched
self.k_sched_type = k_sched_type
self.sigma_max = sigma_max
self.sigma_min = sigma_min
@ -563,11 +563,11 @@ 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,
"kdiffusion Scheduler Type": p.k_sched_type,
"kdiffusion Scheduler sigma_max": p.sigma_max,
"kdiffusion Scheduler sigma_min": p.sigma_min,
"kdiffusion Scheduler rho": p.rho,
"Enable Custom Karras Schedule": p.enable_custom_k_sched or None,
"kdiffusion Scheduler Type": p.k_sched_type if p.enable_custom_k_sched else None,
"kdiffusion Scheduler sigma_max": p.sigma_max if p.enable_custom_k_sched else None,
"kdiffusion Scheduler sigma_min": p.sigma_min if p.enable_custom_k_sched else None,
"kdiffusion Scheduler rho": p.rho if p.enable_custom_k_sched else None,
"CFG scale": p.cfg_scale,
"Image CFG scale": getattr(p, 'image_cfg_scale', None),
"Seed": all_seeds[index],

1
modules/sd_hijack.py
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@ -41,6 +41,7 @@ def list_optimizers():
optimizers.clear()
optimizers.extend(new_optimizers)
print(optimizers)
def apply_optimizations():

3
modules/sd_samplers_kdiffusion.py
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@ -44,6 +44,7 @@ sampler_extra_params = {
'sample_dpm_2': ['s_churn', 's_tmin', 's_tmax', 's_noise'],
}
k_diffusion_samplers_map = {x.name: x for x in samplers_data_k_diffusion}
k_diffusion_scheduler = {
'karras': k_diffusion.sampling.get_sigmas_karras,
'exponential': k_diffusion.sampling.get_sigmas_exponential,
@ -310,7 +311,7 @@ class KDiffusionSampler:
if p.sampler_noise_scheduler_override:
sigmas = p.sampler_noise_scheduler_override(steps)
elif p.enable_karras:
elif p.enable_custom_k_sched:
print(p.k_sched_type, p.sigma_min, p.sigma_max, p.rho)
sigmas_func = k_diffusion_scheduler[p.k_sched_type]
sigmas_kwargs = {

2
modules/txt2img.py
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@ -43,7 +43,7 @@ def txt2img(id_task: str, prompt: str, negative_prompt: str, prompt_styles, step
hr_prompt=hr_prompt,
hr_negative_prompt=hr_negative_prompt,
override_settings=override_settings,
enable_karras=enable_k_sched,
enable_custom_k_sched=enable_k_sched,
k_sched_type=k_sched_type,
sigma_min=sigma_min,
sigma_max=sigma_max,