Update README.md

README.md

@@ -7,9 +7,18 @@ tags:
 - lora
 - template:sd-lora
 widget:
-
-        - text: 'in the style of reddish'
-        
+- text: in the style of reddish
+  output:
+    url: 000.png
+- text: Face closeup, Beautiful young woman
+  output:
+    url: 001.png
+- text: a woman with sunglasses
+  output:
+    url: 002.png
+- text: a girl
+  output:
+    url: 003.png
 base_model: stabilityai/stable-diffusion-xl-base-1.0
 instance_prompt: in the style of reddish
 license: openrail++
@@ -21,7 +30,10 @@ license: openrail++
 
 ## Model description
 
-### These are reddish LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+- **Model Name:** Reddish
+- **Model Type:** LoRA (Low-Rank Adaptation)
+- **Model Version:** 1.0
+- **Author:** [M.Cihan Yalçın](https://www.linkedin.com/in/chanyalcin/)
 
 ## Download model
 
@@ -46,16 +58,23 @@ image = pipeline('in the style of reddish').images[0]
 
 For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
 
+## Performance
+The Reddish model excels in producing images with the following characteristics:
+
+* **High-Quality Faces:** Detailed and realistic facial features.
+* **Reddish Style:** Warm tones with a focus on elegance and beauty.
+* **Artistic Elements:** Incorporates creative and artistic elements such as lighting effects and detailed accessories.
+
 ## Trigger words
 
-You should use in the style of reddish to trigger the image generation.
+You should use **in the style of reddish** to trigger the image generation.
 
 ## Details
 All [Files & versions](/reddish/tree/main).
 
 The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
 
-LoRA for the text encoder was enabled. True.
+LoRA for the text encoder was enabled: True.
 
 Pivotal tuning was enabled: False.