Update app.py

app.py

@@ -6,7 +6,7 @@ import gradio as gr
 import numpy as np
 import torch
 from PIL import Image
-from diffusers import DiffusionPipeline, StableDiffusionXLPipeline, EDMEulerScheduler, StableDiffusionXLInstructPix2PixPipeline, AutoencoderKL
+from diffusers import DiffusionPipeline, StableDiffusionXLPipeline, EDMEulerScheduler, StableDiffusionXLInstructPix2PixPipeline, AutoencoderKL, EulerAncestralDiscreteScheduler
 from huggingface_hub import hf_hub_download, InferenceClient
 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
@@ -18,7 +18,9 @@ pipe.to("cuda")
 refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", vae=vae, torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
 refiner.to("cuda")
 
-pipe_fast = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V4.0_Lightning", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
+pipe_fast = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V4.0_Lightning", torch_dtype=torch.float16, vae=vae)
+pipe_fast.load_lora_weights("KingNish/Better-Image-XL-Lora", weight_name="example-03.safetensors", adapter_name="lora")
+pipe_fast.set_adapters("lora")
 pipe_fast.to("cuda")
 
 help_text = """
@@ -90,6 +92,7 @@ def king(type ,
         generator = torch.Generator().manual_seed(seed)
         if fast:
             pipes=pipe_fast
+            steps=int(steps/4)
         else:
             pipes=pipe
         image = pipes( prompt = instruction,