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Update model.py
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model.py
CHANGED
@@ -460,6 +460,7 @@ class StreamMultiDiffusion(nn.Module):
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do_classifier_free_guidance=(self.guidance_scale > 1.0),
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negative_prompt=[negative_prompt],
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) # ((1, 77, 768): cond, (1, 77, 768): uncond)
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self.state['background'].image = image
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self.state['background'].latent = (
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@@ -468,9 +469,11 @@ class StreamMultiDiffusion(nn.Module):
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self.state['background'].prompt = prompt
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self.state['background'].negative_prompt = negative_prompt
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self.state['background'].embed = embed
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if self.bootstrap_steps[0] > 0:
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if self.white is None:
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self.white = self.encode_imgs(torch.ones(1, 3, self.height, self.width, dtype=self.dtype, device=self.device))
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mix_ratio = self.bootstrap_mix_ratios[:, None, None, None]
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self.bootstrap_latent = mix_ratio * self.white + (1.0 - mix_ratio) * self.state['background'].latent
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do_classifier_free_guidance=(self.guidance_scale > 1.0),
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negative_prompt=[negative_prompt],
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) # ((1, 77, 768): cond, (1, 77, 768): uncond)
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print('111111')
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self.state['background'].image = image
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self.state['background'].latent = (
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self.state['background'].prompt = prompt
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self.state['background'].negative_prompt = negative_prompt
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self.state['background'].embed = embed
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print('222222')
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if self.bootstrap_steps[0] > 0:
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if self.white is None:
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print('333333333')
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self.white = self.encode_imgs(torch.ones(1, 3, self.height, self.width, dtype=self.dtype, device=self.device))
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mix_ratio = self.bootstrap_mix_ratios[:, None, None, None]
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self.bootstrap_latent = mix_ratio * self.white + (1.0 - mix_ratio) * self.state['background'].latent
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