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Add UniPC sampler settings
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4 changed files with 16 additions and 3 deletions
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@ -3,6 +3,7 @@
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import torch
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from .uni_pc import NoiseScheduleVP, model_wrapper, UniPC
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from modules import shared
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class UniPCSampler(object):
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def __init__(self, model, **kwargs):
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@ -89,7 +90,7 @@ class UniPCSampler(object):
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guidance_scale=unconditional_guidance_scale,
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)
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uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=False, condition=conditioning, unconditional_condition=unconditional_conditioning, before_sample=self.before_sample, after_sample=self.after_sample, after_update=self.after_update)
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x = uni_pc.sample(img, steps=S, skip_type="time_uniform", method="multistep", order=3, lower_order_final=True)
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uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=shared.opts.uni_pc_thresholding, variant=shared.opts.uni_pc_variant, condition=conditioning, unconditional_condition=unconditional_conditioning, before_sample=self.before_sample, after_sample=self.after_sample, after_update=self.after_update)
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x = uni_pc.sample(img, steps=S, skip_type=shared.opts.uni_pc_skip_type, method="multistep", order=shared.opts.uni_pc_order, lower_order_final=shared.opts.uni_pc_lower_order_final)
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return x.to(device), None
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@ -750,7 +750,7 @@ class UniPC:
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if method == 'multistep':
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assert steps >= order, "UniPC order must be < sampling steps"
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timesteps = self.get_time_steps(skip_type=skip_type, t_T=t_T, t_0=t_0, N=steps, device=device)
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print(f"Running UniPC Sampling with {timesteps.shape[0]} timesteps")
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print(f"Running UniPC Sampling with {timesteps.shape[0]} timesteps, order {order}")
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assert timesteps.shape[0] - 1 == steps
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with torch.no_grad():
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vec_t = timesteps[0].expand((x.shape[0]))
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