upload app.py

app.py

@@ -0,0 +1,32 @@
+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()