Update README.md

README.md

@@ -12,12 +12,19 @@ tags:
 inference: true
 library_name: diffusers
 ---
-## Paint Journey V2 is [Paint Journey V1](https://huggingface.co/FredZhang7/paint-journey-v1) fine-tuned on 768x768 oil paintings by Midjourney, Open Journey, and Disco Diffusion
+## Paint Journey V2 is [Paint Journey V1](https://huggingface.co/FredZhang7/paint-journey-v1) fine-tuned on 768x768 oil paintings by Midjourney, Open Journey V2, and Disco Diffusion
 
-To apply the oil paint effect, begin the prompt with **((oil painting))**. For starters, try using a dimension of 768x768 for any subject, 512x768 for portraits, and 1152x768 for landscapes.
+*Going to redo the examples because I recently discovered the endless possibilities with Paint Journey V2.
+Paint Journey V2 tends to output masterpieces of beauty and finesse with descriptive positive and negative prompts.*
 
+Begin the prompt with **((oil painting))** for the oil paint effect. For digital paintings, enter similar prompts as you would for Open Journey V2 or Disco Diffusion.
+Unlike some models such as DreamShaper, Paint Journey V2 is capable of generating stunning portraits at 768x1144 resolution without duplicated faces;
+compared to models like Dreamlike Diffusion 1.0, 768x768 or higher resolution outputs from this model tend to have reduced noise levels.
+
+
+## Training
 Instead of solely fine-tuning its Unet, Paint Journey V2 focuses on fine-tuning its text encoder with a diverse range of prompts.
-This allows for a seamless blend of the oil painting style into various other types of prompts, resulting in a more natural and dynamic output.
+This allows for a seamless blend of the digital and oil painting styles into various other types of prompts, resulting in a more natural and dynamic output.
 
 To further improve the resolution and reduce noise in generated images, especially when using the model for img2img, use [Paint Journey VAE](./paint_journey_v2.vae.pt) in combination with [Checkpoint](./paint_journey_v2.ckpt).
 As an example, a Automatic1111's WebUI user can add both of these files to the `./stable-diffusion-webui/models/Stable-diffusion` folder.