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bandaid for broken ddim sampling #389

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AUTOMATIC 2022-09-13 20:12:24 +03:00
parent 950064ee96
commit 85b97cc49c
1 changed files with 7 additions and 2 deletions
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7
modules/sd_samplers.py
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@ -97,7 +97,7 @@ class VanillaStableDiffusionSampler:
def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning):
t_enc = int(min(p.denoising_strength, 0.999) * p.steps)
# existing code fails with cetin step counts, like 9
# existing code fails with cetain step counts, like 9
try:
self.sampler.make_schedule(ddim_num_steps=p.steps, verbose=False)
except Exception:
@ -122,7 +122,12 @@ class VanillaStableDiffusionSampler:
self.nmask = None
self.init_latent = None
# existing code fails with cetin step counts, like 9
try:
samples_ddim, _ = self.sampler.sample(S=p.steps, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x)
except Exception:
samples_ddim, _ = self.sampler.sample(S=p.steps+1, conditioning=conditioning, batch_size=int(x.shape[0]), shape=x[0].shape, verbose=False, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning, x_T=x)
return samples_ddim