Update README.md

README.md

@@ -46,35 +46,6 @@ image = pipe(
 image.save("img_sdxl.png")
 ```
 
-### SDXL(LoRA)
-```python
-from diffusers import StableDiffusionXLPipeline, AutoencoderKL
-import torch
-
-vae = AutoencoderKL.from_pretrained(
-    'madebyollin/sdxl-vae-fp16-fix',
-    torch_dtype=torch.float16,
-)
-pipe = StableDiffusionXLPipeline.from_pretrained(
-    'stabilityai/stable-diffusion-xl-base-1.0', 
-    vae=vae,
-    torch_dtype=torch.float16
-)
-pipe.load_lora_weights("casiatao/LPO", weight_name="lpo_sdxl_lora/pytorch_lora_weights.safetensors")
-pipe = pipe.to("cuda")
-
-prompt = "A cat holding a sign that says hello world"
-
-generator=torch.Generator(device="cuda").manual_seed(42)
-image = pipe(
-    prompt=prompt,
-    guidance_scale=5.0,
-    num_inference_steps=20,
-    generator=generator,
-    output_type='pil',
-).images[0]
-image.save("img_sdxl_lora.png")
-```
 
 ### SD1.5
 ```python
@@ -106,30 +77,6 @@ image = pipe(
 image.save("img_sd15.png")
 ```
 
-### SD1.5(LoRA)
-```python
-from diffusers import StableDiffusionPipeline
-import torch
-
-pipe = StableDiffusionPipeline.from_pretrained(
-    'sd-legacy/stable-diffusion-v1-5', 
-    torch_dtype=torch.float16
-)
-pipe.load_lora_weights("casiatao/LPO", weight_name="lpo_sd15_lora/pytorch_lora_weights.safetensors")
-pipe = pipe.to("cuda")
-
-prompt = "a photo of a cat"
-
-generator=torch.Generator(device="cuda").manual_seed(42)
-image = pipe(
-    prompt=prompt,
-    guidance_scale=5.0,
-    num_inference_steps=20,
-    generator=generator,
-    output_type='pil',
-).images[0]
-image.save("img_sd15_lora.png")
-```
 
 
 ## ❤️ Citation