Mirror/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2024-06-07 21:20:49 +00:00
Code Issues Packages Projects Releases Wiki Activity

take extra sampler properties from StableDiffusionProcessing

Browse Source
This commit is contained in:
DepFA 2022-09-26 15:43:16 +01:00 committed by AUTOMATIC1111
parent 4ea36a37d6
commit a860839f1f
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
modules/sd_samplers.py
View File

@ -125,9 +125,9 @@ class VanillaStableDiffusionSampler:
# existing code fails with cetain step counts, like 9
try:
self.sampler.make_schedule(ddim_num_steps=steps, ddim_eta=opts.ddim_eta, ddim_discretize=opts.ddim_discretize, verbose=False)
self.sampler.make_schedule(ddim_num_steps=steps, ddim_eta=p.ddim_eta, ddim_discretize=p.ddim_discretize, verbose=False)
except Exception:
self.sampler.make_schedule(ddim_num_steps=steps+1,ddim_eta=opts.ddim_eta, ddim_discretize=opts.ddim_discretize, verbose=False)
self.sampler.make_schedule(ddim_num_steps=steps+1,ddim_eta=p.ddim_eta, ddim_discretize=p.ddim_discretize, verbose=False)
x1 = self.sampler.stochastic_encode(x, torch.tensor([t_enc] * int(x.shape[0])).to(shared.device), noise=noise)
@ -277,8 +277,8 @@ class KDiffusionSampler:
extra_params_kwargs = {}
for val in self.extra_params:
if hasattr(opts,val):
extra_params_kwargs[val] = getattr(opts,val)
if hasattr(p,val):
extra_params_kwargs[val] = getattr(p,val)
return self.func(self.model_wrap_cfg, xi, sigma_sched, extra_args={'cond': conditioning, 'uncond': unconditional_conditioning, 'cond_scale': p.cfg_scale}, disable=False, callback=self.callback_state, **extra_params_kwargs)
@ -299,8 +299,8 @@ class KDiffusionSampler:
extra_params_kwargs = {}
for val in self.extra_params:
if hasattr(opts,val):
extra_params_kwargs[val] = getattr(opts,val)
if hasattr(p,val):
extra_params_kwargs[val] = getattr(p,val)
samples = self.func(self.model_wrap_cfg, x, sigmas, extra_args={'cond': conditioning, 'uncond': unconditional_conditioning, 'cond_scale': p.cfg_scale}, disable=False, callback=self.callback_state, **extra_params_kwargs)