Update app.py

app.py

@@ -9,7 +9,7 @@ import uuid
 import json
 import os
 
-from diffusers import DiffusionPipeline, StableDiffusionXLPipeline, StableDiffusion3Pipeline, SD3Transformer2DModel, FlashFlowMatchEulerDiscreteScheduler
+from diffusers import DiffusionPipeline
 from huggingface_hub import snapshot_download
 from transformers import pipeline
 from peft import PeftModel
@@ -42,16 +42,8 @@ footer {
 '''
 
 repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_image_detection")
-repo_base = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 
-repo_default = repo_base
-repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
-repo_default.set_adapters(["base"], adapter_weights=[0.7])
-
-repo_pixel = repo_base
-repo_pixel.load_lora_weights("artificialguybr/PixelArtRedmond", adapter_name="base")
-repo_pixel.load_lora_weights("nerijs/pixel-art-xl", adapter_name="base2")
-repo_pixel.set_adapters(["base", "base2"], adapter_weights=[1, 1])
+repo_default = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False).to(DEVICE)
 
 repo_neo = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, use_safetensors=True, add_watermarker=False, revision="refs/pr/1").to(DEVICE)
 repo_neo.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
@@ -59,9 +51,9 @@ repo_neo.set_adapters(["base"], adapter_weights=[0.7])
 
 repo_customs = {
     "Default": repo_default,
-    "Realistic": StableDiffusionXLPipeline.from_pretrained("ehristoforu/Visionix-alpha", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
-    "Anime": StableDiffusionXLPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
-    "Pixel": repo_pixel,
+    "Realistic": DiffusionPipeline.from_pretrained("ehristoforu/Visionix-alpha", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False).to(DEVICE),
+    "Anime": DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False).to(DEVICE),
+    "Pixel": repo_default,
     "Neo": repo_neo,
 }
 
@@ -99,12 +91,19 @@ def generate(input=DEFAULT_INPUT, filter_input="", negative_input=DEFAULT_NEGATI
     elif model == "Pixel":   
         steps_set = 15
         guidance_set = 1.5
+        
+        repo.load_lora_weights("artificialguybr/PixelArtRedmond", adapter_name="base")
+        repo.load_lora_weights("nerijs/pixel-art-xl", adapter_name="base2")
+        repo.set_adapters(["base", "base2"], adapter_weights=[1, 1])
     elif model == "Neo":
         steps_set = 4
         guidance_set = 0
     else:
         steps_set = 25
         guidance_set = 7
+        
+        repo.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
+        repo.set_adapters(["base"], adapter_weights=[0.7])
 
     if not steps:
         steps = steps_set