Update README.md

README.md

@@ -17,42 +17,4 @@ To use this Lora trained on Jean-Auguste-Dominique Ingres paintings with Stable
 ```
 ingresstyles
 ```  
-inside your prompt. 
-LoRA for the text encoder was enabled: False.
-Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
-## Usage
-Make sure to upgrade diffusers to >= 0.19.0:
-```
-pip install diffusers --upgrade
-```
-In addition make sure to install transformers, safetensors, accelerate as well as the invisible watermark:
-```
-pip install invisible_watermark transformers accelerate safetensors
-```
-To just use the base model, you can run:
-```python
-import torch
-from diffusers import DiffusionPipeline, AutoencoderKL
-device = "cuda" if torch.cuda.is_available() else "cpu"
-vae = AutoencoderKL.from_pretrained('madebyollin/sdxl-vae-fp16-fix', torch_dtype=torch.float16)
-pipe = DiffusionPipeline.from_pretrained(
-    "stabilityai/stable-diffusion-xl-base-1.0",
-    vae=vae, torch_dtype=torch.float16, variant="fp16",
-    use_safetensors=True
-)
-pipe.to(device)
-# This is where you load your trained weights
-specific_safetensors = "pytorch_lora_weights.safetensors"
-lora_scale = 0.9
-pipe.load_lora_weights(
-    'Raf7801/ingresstyles', 
-    weight_name = specific_safetensors,
-    # use_auth_token = True 
-)
-prompt = "A majestic ingresstyles jumping from a big stone at night"
-image = pipe(
-    prompt=prompt, 
-    num_inference_steps=50,
-    cross_attention_kwargs={"scale": lora_scale}
-).images[0]
-```
+inside your prompt.