diff options
| -rw-r--r-- | webui.py | 9 |
1 files changed, 7 insertions, 2 deletions
@@ -847,7 +847,6 @@ class VanillaStableDiffusionSampler: def __init__(self, constructor):
self.sampler = constructor(sd_model)
self.orig_p_sample_ddim = self.sampler.p_sample_ddim
- self.sampler.p_sample_ddim = lambda x_dec, cond, ts, *args, **kwargs: p_sample_ddim_hook(self, x_dec, cond, ts, *args, **kwargs)
self.mask = None
self.nmask = None
self.init_latent = None
@@ -855,9 +854,15 @@ class VanillaStableDiffusionSampler: def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning):
t_enc = int(min(p.denoising_strength, 0.999) * p.steps)
- self.sampler.make_schedule(ddim_num_steps=p.steps, ddim_eta=0.0, verbose=False)
+ # existing code fail with cetin step counts, like 9
+ try:
+ self.sampler.make_schedule(ddim_num_steps=p.steps, verbose=False)
+ except Exception:
+ self.sampler.make_schedule(ddim_num_steps=p.steps+1, verbose=False)
+
x1 = self.sampler.stochastic_encode(x, torch.tensor([t_enc] * int(x.shape[0])).to(device), noise=noise)
+ self.sampler.p_sample_ddim = lambda x_dec, cond, ts, *args, **kwargs: p_sample_ddim_hook(self, x_dec, cond, ts, *args, **kwargs)
self.mask = p.mask
self.nmask = p.nmask
self.init_latent = p.init_latent
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