Update app.py

app.py

@@ -39,28 +39,24 @@ footer {
 }
 '''
 
-'''
 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"], adapter_weights=[0.7])
-'''
 
-'''
 repo_pixel = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 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_large_path = snapshot_download(repo_id="stabilityai/stable-diffusion-3-medium", revision="refs/pr/26", token=HF_TOKEN)
 repo_large_transformer_path = SD3Transformer2DModel.from_pretrained(repo_large_path, subfolder="transformer", torch_dtype=torch.float16)
 repo_large_transformer = PeftModel.from_pretrained(repo_large_transformer_path, "jasperai/flash-sd3")
 
 repo_customs = {
-    "Default": None, #repo_default,
-    "Realistic": None, #StableDiffusionXLPipeline.from_pretrained("ehristoforu/Visionix-alpha", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
-    "Anime": None, #StableDiffusionXLPipeline.from_pretrained("cagliostrolab/animagine-xl-3.1", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False),
-    "Pixel": None, #repo_pixel,
+    "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,
     "Large": StableDiffusion3Pipeline.from_pretrained(repo_large_path, transformer=repo_large_transformer, torch_dtype=torch.float16, use_safetensors=True),
 }