edited blog part 5

chokevin8 · Nov 19, 2023 · a44b821 · a44b821
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diff --git a/_posts/2023-05-20-stable-diffusion.md b/_posts/2023-05-20-stable-diffusion.md
@@ -38,7 +38,7 @@ about stable diffusion and its predecessor, GANs. The next three parts, as seen
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 4)](/blog/2023/stable-diffusion-part4/)
 - ### Different View on Model Objective
-- ### Training and Inference
+- ### Training and Inference (DDIM vs DDPM)
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 5- Coming Soon!)](/blog/2023/stable-diffusion-part5/)
 - ### Conditioning 

diff --git a/_posts/2023-06-30-stable-diffusion-part2.md b/_posts/2023-06-30-stable-diffusion-part2.md
@@ -24,7 +24,7 @@ categories: posts
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 4)](/blog/2023/stable-diffusion-part4/)
 - ### Different View on Model Objective
-- ### Training and Inference
+- ### Training and Inference (DDIM vs DDPM)
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 5- Coming Soon!)](/blog/2023/stable-diffusion-part5/)
 - ### Conditioning 

diff --git a/_posts/2023-08-15-stable-diffusion-part3.md b/_posts/2023-08-15-stable-diffusion-part3.md
@@ -24,7 +24,7 @@ categories: posts
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 4)](/blog/2023/stable-diffusion-part4/)
 - ### Different View on Model Objective
-- ### Training and Inference
+- ### Training and Inference (DDIM vs DDPM)
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 5- Coming Soon!)](/blog/2023/stable-diffusion-part5/)
 - ### Conditioning 

diff --git a/_posts/2023-09-10-stable-diffusion-part4.md b/_posts/2023-09-10-stable-diffusion-part4.md
@@ -24,7 +24,7 @@ categories: posts
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 4)](#stable-diffusion-in-numbers-2) (This Blog!)
 - ### [Different View on Model Objective](#model-objective2)
-- ### [Training and Inference](#training-inference)
+- ### [Training and Inference (DDIM vs DDPM)](#training-inference)
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 5- Coming Soon!)](/blog/2023/stable-diffusion-part5/)
 - ### Conditioning 
@@ -100,7 +100,7 @@ As stated in the paper, this can also be seen as a sequence of $$T$$ equally wei
 $$x_0$$, assuming the training of the decoder went well. 
 
 <a id="training-inference"></a>
-###  ***Training and Inference:***
+###  ***Training and Inference (DDIM vs DDPM):***
 
 Now that we've derived the training (loss) objective from scratch, let's briefly go over the entire training and the inference algorithm:
 

diff --git a/_posts/2023-11-20-stable-diffusion-part5.md b/_posts/2023-11-20-stable-diffusion-part5.md
@@ -24,7 +24,7 @@ categories: posts
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 4)](#stable-diffusion-in-numbers-2) (This Blog!)
 - ### [Different View on Model Objective](#model-objective2)
-- ### [Training and Inference](#training-inference)
+- ### [Training and Inference (DDIM vs DDPM)](#training-inference)
 
 ### [Latent/Stable Diffusion Fully Explained! (Part 5)](/blog/2023/stable-diffusion-part5/)
 - ### Conditioning