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@ -228,7 +228,7 @@ class VanillaStableDiffusionSampler:
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unconditional_conditioning = {"c_concat": [image_conditioning], "c_crossattn": [unconditional_conditioning]}
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samples = self.launch_sampling(steps, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
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samples = self.launch_sampling(t_enc + 1, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
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return samples
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@ -429,7 +429,7 @@ class KDiffusionSampler:
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self.model_wrap_cfg.init_latent = x
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self.last_latent = x
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samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
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samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
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'cond': conditioning,
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'image_cond': image_conditioning,
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'uncond': unconditional_conditioning,
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