Delete app.py

app.py

@@ -1,32 +0,0 @@
-import torch
-from diffusers import StableDiffusionXLPipeline
-import gradio as gr
-
-# Modell-ID
-MODEL_ID = "En3rGy/getphatFLUXReality_v5Hardcore"
-
-# Modell laden
-print("Lade Modell...")
-pipe = StableDiffressionXLPipeline.from_pretrained(
-    MODEL_ID,
-    torch_dtype=torch.float16,
-    variant="fp16"
-)
-pipe.to("cuda")
-print("Modell erfolgreich geladen.")
-
-# Generierungsfunktion
-def generate(prompt):
-    with torch.autocast("cuda"):
-        image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5).images[0]
-        return image
-
-# UI bauen
-with gr.Blocks() as demo:
-    gr.Markdown("# getphatFLUXReality Generator")
-    prompt = gr.Textbox(label="Prompt", placeholder="Enter your masterpiece...")
-    output = gr.Image(label="Generated Image")
-    run_button = gr.Button("Generate")
-    run_button.click(fn=generate, inputs=prompt, outputs=output)
-
-demo.launch()