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Fix error when batch count > 1

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RcINS 2023-02-15 16:57:18 +08:00
parent 9e27af76d1
commit f55a7e04d8
1 changed files with 5 additions and 4 deletions
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9
modules/sd_samplers_kdiffusion.py
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@ -269,14 +269,15 @@ class KDiffusionSampler:
return sigmas return sigmas
def create_noise_sampler(self, x, sigmas, seeds): def create_noise_sampler(self, x, sigmas, p):
"""For DPM++ SDE: manually create noise sampler to enable deterministic results across different batch sizes""" """For DPM++ SDE: manually create noise sampler to enable deterministic results across different batch sizes"""
if shared.opts.no_dpmpp_sde_batch_determinism: if shared.opts.no_dpmpp_sde_batch_determinism:
return None return None
from k_diffusion.sampling import BrownianTreeNoiseSampler from k_diffusion.sampling import BrownianTreeNoiseSampler
sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max() sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
return BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seeds) current_iter_seeds = p.all_seeds[p.iteration * p.batch_size:(p.iteration + 1) * p.batch_size]
return BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=current_iter_seeds)
def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None): def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
steps, t_enc = sd_samplers_common.setup_img2img_steps(p, steps) steps, t_enc = sd_samplers_common.setup_img2img_steps(p, steps)
@ -302,7 +303,7 @@ class KDiffusionSampler:
extra_params_kwargs['sigmas'] = sigma_sched extra_params_kwargs['sigmas'] = sigma_sched
if self.funcname == 'sample_dpmpp_sde': if self.funcname == 'sample_dpmpp_sde':
noise_sampler = self.create_noise_sampler(x, sigmas, p.all_seeds) noise_sampler = self.create_noise_sampler(x, sigmas, p)
extra_params_kwargs['noise_sampler'] = noise_sampler extra_params_kwargs['noise_sampler'] = noise_sampler
self.model_wrap_cfg.init_latent = x self.model_wrap_cfg.init_latent = x
@ -337,7 +338,7 @@ class KDiffusionSampler:
extra_params_kwargs['sigmas'] = sigmas extra_params_kwargs['sigmas'] = sigmas
if self.funcname == 'sample_dpmpp_sde': if self.funcname == 'sample_dpmpp_sde':
noise_sampler = self.create_noise_sampler(x, sigmas, p.all_seeds) noise_sampler = self.create_noise_sampler(x, sigmas, p)
extra_params_kwargs['noise_sampler'] = noise_sampler extra_params_kwargs['noise_sampler'] = noise_sampler
self.last_latent = x self.last_latent = x