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use dataclass for StableDiffusionProcessing

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AUTOMATIC1111
2023-08-13 08:24:16 +03:00
parent fa9370b741
commit 599f61a1e0
2 changed files with 172 additions and 143 deletions
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5
modules/sd_samplers_common.py
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@@ -305,5 +305,8 @@ class Sampler:
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(self, p, x, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
raise NotImplementedError()
def sample_img2img(self, p, x, noise, conditioning, unconditional_conditioning, steps=None, image_conditioning=None):
raise NotImplementedError()