Compare commits

...
2 Commits
Author SHA1 Message Date
Phil Wang 37334ae824 fix a bug with ddim and predict x0 objective 2022-07-18 19:04:57 -07:00
Phil Wang 6eba6cdd50 refresh images 2022-07-18 11:30:34 -07:00
5 changed files with 4 additions and 4 deletions
+2 -2
View File
@@ -1,4 +1,4 @@
<img src="./denoising-diffusion.png" width="500px"></img>
<img src="./images/denoising-diffusion.png" width="500px"></img>
## Denoising Diffusion Probabilistic Model, in Pytorch
@@ -10,7 +10,7 @@ Youtube AI Educators - <a href="https://www.youtube.com/watch?v=W-O7AZNzbzQ">Yan
<a href="https://huggingface.co/blog/annotated-diffusion">Annotated code</a> by Research Scientists / Engineers from <a href="https://huggingface.co/">🤗 Huggingface</a>
<img src="./sample.png" width="500px"><img>
<img src="./images/sample.png" width="500px"><img>
[![PyPI version](https://badge.fury.io/py/denoising-diffusion-pytorch.svg)](https://badge.fury.io/py/denoising-diffusion-pytorch)
@@ -479,7 +479,7 @@ class GaussianDiffusion(nn.Module):
def predict_noise_from_start(self, x_t, t, x0):
return (
(x0 - extract(self.sqrt_recip_alphas_cumprod, t, x_t.shape) * x_t) / \
(extract(self.sqrt_recip_alphas_cumprod, t, x_t.shape) * x_t - x0) / \
extract(self.sqrt_recipm1_alphas_cumprod, t, x_t.shape)
)

Before

Width:  |  Height:  |  Size: 40 KiB

After

Width:  |  Height:  |  Size: 40 KiB

View File

Before

Width:  |  Height:  |  Size: 842 KiB

After

Width:  |  Height:  |  Size: 842 KiB

+1 -1
View File
@@ -3,7 +3,7 @@ from setuptools import setup, find_packages
setup(
name = 'denoising-diffusion-pytorch',
packages = find_packages(),
version = '0.26.0',
version = '0.26.1',
license='MIT',
description = 'Denoising Diffusion Probabilistic Models - Pytorch',
author = 'Phil Wang',