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authorRoman Beltiukov <maybe.hello.world@gmail.com>2023-05-25 15:10:10 -0700
committerGitHub <noreply@github.com>2023-05-25 15:10:10 -0700
commitb2530c965c2afd5512c5f9020251fd4be8f067e5 (patch)
tree0c1620e00ac4eddea514706a5c3bf3e03bd46c70 /modules/sd_samplers_compvis.py
parent09d9c3d287ee4543d285e0fde8b81603c9751a7e (diff)
parenta6e653be26cc05f4438145fa0082816e9fbbf5fc (diff)
Merge branch 'dev' into master
Diffstat (limited to 'modules/sd_samplers_compvis.py')
-rw-r--r--modules/sd_samplers_compvis.py12
1 files changed, 8 insertions, 4 deletions
diff --git a/modules/sd_samplers_compvis.py b/modules/sd_samplers_compvis.py
index bfcc5574..bdae8b40 100644
--- a/modules/sd_samplers_compvis.py
+++ b/modules/sd_samplers_compvis.py
@@ -11,7 +11,7 @@ import modules.models.diffusion.uni_pc
samplers_data_compvis = [
- sd_samplers_common.SamplerData('DDIM', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.ddim.DDIMSampler, model), [], {}),
+ sd_samplers_common.SamplerData('DDIM', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.ddim.DDIMSampler, model), [], {"default_eta_is_0": True, "uses_ensd": True}),
sd_samplers_common.SamplerData('PLMS', lambda model: VanillaStableDiffusionSampler(ldm.models.diffusion.plms.PLMSSampler, model), [], {}),
sd_samplers_common.SamplerData('UniPC', lambda model: VanillaStableDiffusionSampler(modules.models.diffusion.uni_pc.UniPCSampler, model), [], {}),
]
@@ -55,7 +55,7 @@ class VanillaStableDiffusionSampler:
def p_sample_ddim_hook(self, x_dec, cond, ts, unconditional_conditioning, *args, **kwargs):
x_dec, ts, cond, unconditional_conditioning = self.before_sample(x_dec, ts, cond, unconditional_conditioning)
- res = self.orig_p_sample_ddim(x_dec, cond, ts, unconditional_conditioning=unconditional_conditioning, *args, **kwargs)
+ res = self.orig_p_sample_ddim(x_dec, cond, ts, *args, unconditional_conditioning=unconditional_conditioning, **kwargs)
x_dec, ts, cond, unconditional_conditioning, res = self.after_sample(x_dec, ts, cond, unconditional_conditioning, res)
@@ -83,7 +83,7 @@ class VanillaStableDiffusionSampler:
conds_list, tensor = prompt_parser.reconstruct_multicond_batch(cond, self.step)
unconditional_conditioning = prompt_parser.reconstruct_cond_batch(unconditional_conditioning, self.step)
- assert all([len(conds) == 1 for conds in conds_list]), 'composition via AND is not supported for DDIM/PLMS samplers'
+ assert all(len(conds) == 1 for conds in conds_list), 'composition via AND is not supported for DDIM/PLMS samplers'
cond = tensor
# for DDIM, shapes must match, we can't just process cond and uncond independently;
@@ -134,7 +134,11 @@ class VanillaStableDiffusionSampler:
self.update_step(x)
def initialize(self, p):
- self.eta = p.eta if p.eta is not None else shared.opts.eta_ddim
+ if self.is_ddim:
+ self.eta = p.eta if p.eta is not None else shared.opts.eta_ddim
+ else:
+ self.eta = 0.0
+
if self.eta != 0.0:
p.extra_generation_params["Eta DDIM"] = self.eta