Update README.md

```python
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Mohan-diffuser/lora_platypus_sd_15")

prompt = "platypus"
image = pipe(prompt).images[0]

```

README.md

@@ -11,6 +11,10 @@ widget:
 base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
 instance_prompt: platypus
 license: mit
+language:
+- en
+pipeline_tag: text-to-image
+library_name: diffusers
 ---
 # LoRA_platypus
 
@@ -25,4 +29,4 @@ You should use `platypus` to trigger the image generation.
 ## Download model
 
 
-[Download](/Mohan-diffuser/lora_platypus_sd_15/tree/main) them in the Files & versions tab.
+[Download](/Mohan-diffuser/lora_platypus_sd_15/tree/main) them in the Files & versions tab.