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patil-suraj
2022-06-10 14:58:35 +02:00

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@@ -48,7 +48,7 @@ noise_scheduler = GaussianDDPMScheduler.from_config("fusing/ddpm-lsun-church")
unet = UNetModel.from_pretrained("fusing/ddpm-lsun-church").to(torch_device)
# 2. Sample gaussian noise
image = noise_scheduler.sample_noise((1, model.in_channels, model.resolution, model.resolution), device=torch_device, generator=generator)
image = noise_scheduler.sample_noise((1, unet.in_channels, unet.resolution, unet.resolution), device=torch_device, generator=generator)
# 3. Denoise
num_prediction_steps = len(noise_scheduler)
@@ -96,7 +96,7 @@ noise_scheduler = DDIMScheduler.from_config("fusing/ddpm-celeba-hq")
unet = UNetModel.from_pretrained("fusing/ddpm-celeba-hq").to(torch_device)
# 2. Sample gaussian noise
image = noise_scheduler.sample_noise((1, model.in_channels, model.resolution, model.resolution), device=torch_device, generator=generator)
image = noise_scheduler.sample_noise((1, unet.in_channels, unet.resolution, unet.resolution), device=torch_device, generator=generator)
# 3. Denoise
num_inference_steps = 50