Update app.py

app.py

@@ -15,6 +15,7 @@ from diffusers.utils import load_image
 DESCRIPTION = """
 # [Fluently Playground](https://huggingface.co/fluently)
 
+🤗 New FluentlyXL v4!
 """
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo may not work on CPU.</p>"
@@ -68,7 +69,7 @@ if torch.cuda.is_available():
     pipe_inpaint.to(device)
 
     pipe_xl = StableDiffusionXLPipeline.from_pretrained(
-        "fluently/Fluently-XL-v3",
+        "fluently/Fluently-XL-v4",
         torch_dtype=torch.float16,
         use_safetensors=True,
     )
@@ -163,7 +164,7 @@ def generate(
             num_images_per_prompt=1,
             output_type="pil",
         ).images
-    elif model == "Fluently XL v3":
+    elif model == "Fluently XL v4":
         images = pipe_xl(
             prompt=prompt,
             negative_prompt=negative_prompt,
@@ -252,7 +253,7 @@ with gr.Blocks(title="Fluently Playground", css=css) as demo:
     with gr.Row():
         model = gr.Radio(
             label="Model",
-            choices=["Fluently XL v3 Lightning","Fluently XL v3", "Fluently v4", "Fluently Anime", "Fluently Epic", "Fluently XL v3 inpaint", "Fluently v4 inpaint"],
+            choices=["Fluently XL v3 Lightning","Fluently XL v4", "Fluently v4", "Fluently Anime", "Fluently Epic", "Fluently XL v3 inpaint", "Fluently v4 inpaint"],
             value="Fluently XL v3 Lightning",
             interactive=True,
         )