UniPC does not support img2img (for now)
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@ -884,7 +884,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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shared.state.nextjob()
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img2img_sampler_name = 'DDIM' # PLMS does not support img2img so we just silently switch ot DDIM
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img2img_sampler_name = 'DDIM' # PLMS/UniPC does not support img2img so we just silently switch ot DDIM
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self.sampler = sd_samplers.create_sampler(img2img_sampler_name, self.sd_model)
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samples = samples[:, :, self.truncate_y//2:samples.shape[2]-(self.truncate_y+1)//2, self.truncate_x//2:samples.shape[3]-(self.truncate_x+1)//2]
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@ -32,7 +32,7 @@ def set_samplers():
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global samplers, samplers_for_img2img
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hidden = set(shared.opts.hide_samplers)
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hidden_img2img = set(shared.opts.hide_samplers + ['PLMS'])
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hidden_img2img = set(shared.opts.hide_samplers + ['PLMS', 'UniPC'])
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samplers = [x for x in all_samplers if x.name not in hidden]
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samplers_for_img2img = [x for x in all_samplers if x.name not in hidden_img2img]
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@ -139,7 +139,7 @@ class VanillaStableDiffusionSampler:
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self.nmask = p.nmask if hasattr(p, 'nmask') else None
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def adjust_steps_if_invalid(self, p, num_steps):
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if ((self.config.name == 'DDIM' or self.config.name == "UniPC") and p.ddim_discretize == 'uniform') or (self.config.name == 'PLMS'):
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if ((self.config.name == 'DDIM') and p.ddim_discretize == 'uniform') or (self.config.name == 'PLMS') or (self.config.name == 'UniPC'):
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valid_step = 999 / (1000 // num_steps)
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if valid_step == math.floor(valid_step):
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return int(valid_step) + 1
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