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Move latent scale factor from VAE to model.

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comfyanonymous
2023-06-23 02:14:12 -04:00
parent 30a3861946
commit 8607c2d42d
7 changed files with 73 additions and 33 deletions
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5
comfy/samplers.py
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@@ -586,6 +586,9 @@ class KSampler:
positive = encode_adm(self.model, positive, noise.shape[0], noise.shape[3], noise.shape[2], self.device, "positive")
negative = encode_adm(self.model, negative, noise.shape[0], noise.shape[3], noise.shape[2], self.device, "negative")
if latent_image is not None:
latent_image = self.model.process_latent_in(latent_image)
extra_args = {"cond":positive, "uncond":negative, "cond_scale": cfg, "model_options": self.model_options}
cond_concat = None
@@ -672,4 +675,4 @@ class KSampler:
else:
samples = getattr(k_diffusion_sampling, "sample_{}".format(self.sampler))(self.model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar)
return samples.to(torch.float32)
return self.model.process_latent_out(samples.to(torch.float32))