Remove refiner

It didn’t work and I see almost no difference in the online example images anyway

app.py

@@ -1,4 +1,4 @@
-from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline, AutoencoderKL
+from diffusers import StableDiffusionXLPipeline, AutoencoderKL
 import torch
 import random
 #from controlnet_aux import OpenposeDetector
@@ -27,15 +27,6 @@ pipe = StableDiffusionXLPipeline.from_single_file(
 )
 pipe.enable_model_cpu_offload()
 
-pipeRefiner = StableDiffusionXLImg2ImgPipeline.from_pretrained(
-    "stabilityai/stable-diffusion-xl-refiner-1.0",
-    torch_dtype=torch.float16,
-    variant="fp16",
-    vae=vae,
-    use_safetensors=True
-)
-pipeRefiner.enable_model_cpu_offload()
-
 css = """
 .btn-green {
   background-image: linear-gradient(to bottom right, #6dd178, #00a613) !important;
@@ -60,14 +51,6 @@ def generate(prompt, neg_prompt, samp_steps, guide_scale, batch_size, seed, heig
         height=height,
         width=width,
         generator=torch.manual_seed(seed),
-        output_type="latent",
-        denoising_end=0.8
-    ).images
-    images = pipeRefiner(
-        prompt,
-        image=images,
-        num_inference_steps=samp_steps,
-        denoising_start=0.8
     ).images
     return [(img, f"Image {i+1}") for i, img in enumerate(imagesRefined)]