Update app.py

app.py

@@ -15,7 +15,7 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
 pipe = FluxPipeline.from_pretrained(
-    "black-forest-labs/FLUX.1-dev", 
+    "LPX55/FLUX.1-merged_uncensored", 
     torch_dtype=torch.bfloat16,
     token=os.getenv('HF_TOKEN'),
 ).to("cuda")
@@ -84,14 +84,6 @@ with gr.Blocks(css=css) as demo:
     
     with gr.Column(elem_id="col-container"):
         gr.Markdown(f"""# ⚡️ Fast FLUX.1 Redux [dev] ⚡️
-An adapter for FLUX [dev] to create image variations combined with ByteDance [
-Hyper FLUX 8 Steps LoRA](https://huggingface.co/ByteDance/Hyper-SD) 🏎️
-Now with added support: 
-- prompt input
-- attention masking for improved prompt adherence
-- multiple image interpolation
-
-[[non-commercial license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)] [[blog](https://blackforestlabs.ai/announcing-black-forest-labs/)] [[model](https://huggingface.co/black-forest-labs/FLUX.1-dev)]
         """)
         with gr.Row():
             with gr.Column():