Update app.py

app.py

@@ -37,8 +37,8 @@ repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_im
 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k", torch_dtype=torch.float16)
-
-repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
+# , vae=vae, controlnet=controlnet
+repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 
 repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
 repo_default.set_adapters("base")
@@ -56,14 +56,6 @@ repo_customs = {
     "Pixel": None, # repo_pixel,
 }
 
-print("-----------A")
-print(repo_default.scheduler)
-print("-----/-////B")
-print(EulerAncestralDiscreteScheduler.from_config(repo_default.scheduler.config))
-print("-----------Z")
-# repo_default.scheduler = EulerAncestralDiscreteScheduler.from_config(repo_default.scheduler.config)
-
-
 # Functions
 def save_image(img, seed):
     name = f"{seed}-{uuid.uuid4()}.png"