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| author | Kohaku-Blueleaf <59680068+KohakuBlueleaf@users.noreply.github.com> | 2023-08-05 13:14:00 +0800 |
|---|---|---|
| committer | Kohaku-Blueleaf <59680068+KohakuBlueleaf@users.noreply.github.com> | 2023-08-05 13:14:00 +0800 |
| commit | b85ec2b9b66492ff9bf3d40a4d9b424390067f0f (patch) | |
| tree | bf8573b31426edb24d0173e41705e06ade2e1fe0 /modules | |
| parent | d56a9cfe6a0611465d01e6881f79c2d9128744de (diff) | |
Fix some merge mistakes
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/processing.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/modules/processing.py b/modules/processing.py index b9900ded..43cb763f 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -1136,7 +1136,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing): batch_images.append(image)
decoded_samples = torch.from_numpy(np.array(batch_images))
- decoded_samples = decoded_samples.to(shared.device)
+ decoded_samples = decoded_samples.to(shared.device, dtype=devices.dtype_vae)
self.extra_generation_params['VAE Encoder'] = opts.sd_vae_encode_method
samples = images_tensor_to_samples(decoded_samples, approximation_indexes.get(opts.sd_vae_encode_method))
@@ -1374,6 +1374,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): raise RuntimeError(f"bad number of images passed: {len(imgs)}; expecting {self.batch_size} or less")
image = torch.from_numpy(batch_images)
+ image = image.to(shared.device, dtype=devices.dtype_vae)
self.extra_generation_params['VAE Encoder'] = opts.sd_vae_encode_method
self.init_latent = images_tensor_to_samples(image, approximation_indexes.get(opts.sd_vae_encode_method), self.sd_model)
devices.torch_gc()
|