Update README.md

README.md

@@ -16,8 +16,8 @@ language:
 # Aniimage-1
 
 Aniimage-1 is the first latent diffusion model developed by 8BitStudio.
-The model is a 256x256 anime image generation model trained from scratch using a UNet + VAE + CLIP architecture at 433.37 million parameters.
-Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danbooru.donmai.us/). It is not based on any existing models, the UNet is trained from scratch.
+The model is a 256×256 anime image generation model using a UNet + VAE + CLIP architecture. The UNet was trained from scratch, and the full pipeline has 640 million parameters.
+Aniimage-1 was trained on 830,001 anime images from [Danbooru](https://danbooru.donmai.us/).
 
 ## Model Details
 
@@ -25,7 +25,7 @@ Aniimage-1 has been trained on 830,001 anime images from [Danbooru](https://danb
 |---|---|
 | **Resolution** | 256×256 |
 | **Architecture** | Latent Diffusion (UNet + VAE + CLIP) |
-| **Parameters** | 433.37M |
+| **UNet Parameters** | 433.37M |
 | **Training Steps** | 88,000 |
 | **Batch Size** | 64 |
 | **Dataset** | ~830K curated anime images from Danbooru |