Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Appearance settings

Commit 2db8c62

Browse filesBrowse files
virginiafdezVirginiapre-commit-ci[bot]
authored
Modification of README.md file to incorporate 2d_diffusion_autoencoder info. (#1876)
In the previous (closed) PR (#1871) we had to do a hard reset and the README.md modifications were not incorporated at the end. This is just an addition of the notebook info to the generation README file. ### Checks <!--- Put an `x` in all the boxes that apply, and remove the not applicable items --> - [x] Avoid including large-size files in the PR. - [x] Clean up long text outputs from code cells in the notebook. - [x] For security purposes, please check the contents and remove any sensitive info such as user names and private key. - [x] Ensure (1) hyperlinks and markdown anchors are working (2) use relative paths for tutorial repo files (3) put figure and graphs in the `./figure` folder - [x] Notebook runs automatically `./runner.sh -t <path to .ipynb file>` --------- Signed-off-by: Virginia <virginia.fernandez@kcl.ac.uk> Co-authored-by: Virginia <virginia.fernandez@kcl.ac.uk> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
1 parent 7f06619 commit 2db8c62
Copy full SHA for 2db8c62

File tree

Expand file treeCollapse file tree

1 file changed

+3
-0
lines changed
Filter options
Expand file treeCollapse file tree

1 file changed

+3
-0
lines changed

‎generation/README.md

Copy file name to clipboardExpand all lines: generation/README.md
+3Lines changed: 3 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -78,3 +78,6 @@ Examples show how to perform anomaly detection in 2D, using implicit guidance [2
7878

7979
## 2D super-resolution using diffusion models: [using torch](./2d_super_resolution/2d_sd_super_resolution.ipynb) and [using torch lightning](./2d_super_resolution/2d_sd_super_resolution_lightning.ipynb).
8080
Examples show how to perform super-resolution in 2D, using PyTorch and PyTorch Lightning.
81+
82+
## [Guiding the synthetic process using a semantic encoder](./2d_diffusion_autoencoder/2d_diffusion_autoencoder.ipynb)
83+
Example shows how to train a DDPM and an encoder simultaneously, resulting in the latents of the encoder guiding the inference process of the DDPM.

0 commit comments

Comments
0 (0)
Morty Proxy This is a proxified and sanitized view of the page, visit original site.