Update README.md

README.md

@@ -4,13 +4,25 @@ tags:
 - text-to-image
 - stable-diffusion
 ---
-### Lichtspiel-Diffusion Dreambooth model trained by FricktionMaster with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook
 
 
-Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
-Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
+### Lichtspiel Diffusion 
+This is a fine-tuned Stable Diffusion 1.5 model trained on stills from movies by celebrated cinematographers.
+
 
 Sample pictures of this concept:
 
 ![0](https://huggingface.co/FricktionMaster/lichtspiel-diffusion/resolve/main/sample_images/1.jpg)
+
+Use the token LichtspielStyle or style LichtspielStyle to activate the effect. It works particularly well for portraits and if you reference specific films like Blade Runner, True Grit or The Revenant. 
+
+The model was trained using dreambooth by TheLastBen based on the SD implementation by XavierXiao. 
+
+Trained with 10.500 steps.
+
+
+
+Test the model with A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb)
+Or you can run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb)
+