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README.md

@@ -4,6 +4,6 @@ license: creativeml-openrail-m
 
 **Neon Illustration Diffusion**
 
-This fine-tuned Stable Diffusion v1.5 model was trained for 8000 iterations on a selection of artistic works by Pachu M. Torres. Training was performed using [ShivamShrirao/diffusers](https://github.com/ShivamShrirao/diffusers) with full precision, prior-preservation loss, the train-text-encoder feature, and the new [1.5 MSE VAE from Stability AI](https://huggingface.co/stabilityai/sd-vae-ft-mse). A total of 4120 regularization / class images were used from [here](https://huggingface.co/datasets/ProGamerGov/StableDiffusion-v1-5-Regularization-Images). Regularization images were generated using the prompt "artwork style", 50 DDIM steps, and a CFG of 7.
+This fine-tuned Stable Diffusion v1.5 model was trained for 11000 iterations on a selection of artistic works by Pachu M. Torres. Training was performed using [ShivamShrirao/diffusers](https://github.com/ShivamShrirao/diffusers) with full precision, prior-preservation loss, the train-text-encoder feature, and the new [1.5 MSE VAE from Stability AI](https://huggingface.co/stabilityai/sd-vae-ft-mse). A total of 4120 regularization / class images were used from [here](https://huggingface.co/datasets/ProGamerGov/StableDiffusion-v1-5-Regularization-Images). Regularization images were generated using the prompt "artwork style", 50 DDIM steps, and a CFG of 7.
 
-Use the tokens **nlust style** in your prompts for the effect.
+Use the tokens **nlust style** in your prompts for the effect. The effect also appears to occur at a much weaker strength on prompts that steer the output towards specific artistic styles, resulting in a completely new artistic style!