Update README.md

README.md

@@ -39,11 +39,13 @@ This model is still in its infancy and it's meant to be constantly updated and t
 
 ## Available Checkpoints:
   - #### Stable:
+    - None
+  - #### Old Checkpoints:
     - [vae.sygil_muse_v0.1.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/vae.sygil_muse_v0.1.pt): Trained from scratch for 3.0M steps with **dim: 128** and **vq_codebook_size: 256**.
     - [maskgit.sygil_muse_v0.1.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/maskgit.sygil_muse_v0.1.pt): Maskgit trained from the VAE for 3.46M steps
     - [vae.sygil_muse_v0.5.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/vae.sygil_muse_v0.5.pt): Trained from scratch for 1.99M steps with **dim: 128** and **vq_codebook_size: 8192**.
   - #### Beta:
-    - [vae.87000.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/vae.87000.pt): Trained from scratch for 87K steps and higher **vq_codebook_dim** and **vq_codebook_size** than before.
+    - [vae.195500.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/vae.195500.pt): Trained from scratch for 195K steps and higher **vq_codebook_dim** and **vq_codebook_size** than before.
     - [maskgit.39000.pt](https://huggingface.co/Sygil/Sygil-Muse/blob/main/maskgit.39000.pt): Maskgit trained from the VAE for 39K steps using the hyperparameters `heads 16` and `depth 22` for testing, these values have huge performance effects, the vram usage was also increased so it is just for testing, the quality on this checkpoint did increase a lot and requires a lot less training which is something we want but we need to find a balance between quality and performance.
   
   Note: Checkpoints under the Beta section are updated daily or at least 3-4 times a week. While the beta checkpoints can be used as they are only the latest version is kept on the repo and the older checkpoints are removed when a new one
@@ -73,7 +75,7 @@ The model was trained on the following dataset:
 - **heads:** 8
 - **depth:** 4
 - **Random Crop:** True
-- **Total Training Steps:** 87,000
+- **Total Training Steps:** 195,500
 
   Note: On Muse we can change the image_size or resolution at any time without having to train the model from scratch again, this allows us to first train the model at low resolution using the same `dim` and `vq_codebook_size` to train faster and then we can increase the `image_size` and use a higher resolution once the model has trained enough.