Update README.md

README.md

@@ -2,36 +2,48 @@
 license: creativeml-openrail-m
 tags:
 - text-to-image
+- dreambooth
+- stable-diffusion
 ---
-### musecat_PPt_Model on Stable Diffusion via Dreambooth
-#### model by LK0608
-This your the Stable Diffusion model fine-tuned the musecat_PPt_Model concept taught to Stable Diffusion with Dreambooth.
-It can be used by modifying the `instance_prompt`: **a photo of a mscds cat**
-
-You can also train your own concepts and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb).
-And 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), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts)
-
-Here are the images used for training this concept:
-![image 0](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/concept_images/2.jpeg)
-![image 1](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/concept_images/0.jpeg)
-![image 2](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/concept_images/3.jpeg)
-![image 3](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/concept_images/1.jpeg)
-
-
-
-Here are the images generated by the original model:
-
-  ![image 0](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/3.jpg)
-      ![image 1](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/0.jpg)
-      ![image 2](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/6.jpg)
-      ![image 3](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/10.jpg)
-      ![image 4](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/8.jpg)
-      ![image 5](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/11.jpg)
-      ![image 6](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/2.jpg)
-      ![image 7](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/4.jpg)
-      ![image 8](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/7.jpg)
-      ![image 9](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/9.jpg)
-      ![image 10](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/1.jpg)
-      ![image 11](https://huggingface.co/sd-dreambooth-library/musecat-ppt-model/resolve/main/class_images/5.jpg)
-      
-  
+
+### musecat_PPt_Model — Dreambooth Fine-tuned Stable Diffusion
+#### Model by LK0608
+
+This repository contains a Dreambooth-fine-tuned Stable Diffusion model trained on the **musecat_PPt_Model** concept.
+
+Use the following `instance_prompt` to generate images of the trained subject:
+
+**→ `a photo of a mscds cat`**
+
+---
+
+### Train Your Own Concept
+
+You can fine-tune Stable Diffusion on your own subject or style by using the official HuggingFace Dreambooth notebooks:
+
+- **Dreambooth Training Notebook**  
+  https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb
+
+- **Inference Notebook**  
+  https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb
+
+- **Public Dreambooth Concepts Space**  
+  https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts
+
+---
+
+### Usage (Diffusers)
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    "your-username/musecat_PPt_Model",
+    torch_dtype=torch.float16
+).to("cuda")
+
+prompt = "a photo of a mscds cat wearing sunglasses, cinematic lighting"
+image = pipe(prompt).images[0]
+
+image.save("output.png")