repair AttributeError: 'NoneType' object has no attribute 'conditioning_key'
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dca121e903
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@ -1104,6 +1104,13 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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info = create_infotext(self, self.all_prompts, self.all_seeds, self.all_subseeds, [], iteration=self.iteration, position_in_batch=index)
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images.save_image(image, self.outpath_samples, "", seeds[index], prompts[index], opts.samples_format, info=info, p=self, suffix="-before-highres-fix")
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img2img_sampler_name = self.hr_sampler_name or self.sampler_name
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if self.sampler_name in ['PLMS', 'UniPC']: # PLMS/UniPC do not support img2img so we just silently switch to DDIM
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img2img_sampler_name = 'DDIM'
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self.sampler = sd_samplers.create_sampler(img2img_sampler_name, self.sd_model)
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if self.latent_scale_mode is not None:
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for i in range(samples.shape[0]):
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save_intermediate(samples, i)
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@ -1143,13 +1150,6 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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shared.state.nextjob()
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img2img_sampler_name = self.hr_sampler_name or self.sampler_name
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if self.sampler_name in ['PLMS', 'UniPC']: # PLMS/UniPC do not support img2img so we just silently switch to DDIM
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img2img_sampler_name = '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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noise = create_random_tensors(samples.shape[1:], seeds=seeds, subseeds=subseeds, subseed_strength=subseed_strength, p=self)
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