Update app.py

app.py

@@ -7,7 +7,7 @@ import uuid
 import os
 from transformers import pipeline
 
-from diffusers import StableDiffusionXLPipeline, ControlNetModel
+from diffusers import StableDiffusionXLPipeline, ControlNetModel, EulerAncestralDiscreteScheduler
 from diffusers.models import AutoencoderKL
 from PIL import Image
 
@@ -39,6 +39,7 @@ vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype
 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)
+
 repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
 repo_default.set_adapters("base")
 # repo_default.set_adapters(["base"], adapter_weights=[0.7])
@@ -54,7 +55,11 @@ repo_customs = {
     "Anime": StableDiffusionXLPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
     "Pixel": repo_pixel,
 }
+print(repo_default.scheduler)
+
+repo_default.scheduler = EulerAncestralDiscreteScheduler.from_config(repo_default.scheduler.config)
 
+print(EulerAncestralDiscreteScheduler.from_config(repo_default.scheduler.config))
 # Functions
 def save_image(img, seed):
     name = f"{seed}-{uuid.uuid4()}.png"