Update app.py

app.py

@@ -1,25 +1 @@
-import gradio as gr
-import requests
-import json
-
-from gradio_client import Client
-
-client = Client("artificialguybr/RealVisXL-Free-DEMO")
-result = client.predict(
-		prompt="Hello!!",
-		negative_prompt="",
-		seed=0,
-		custom_width=896,
-		custom_height=1152,
-		guidance_scale=7,
-		num_inference_steps=28,
-		sampler="DPM++ 2M SDE Karras",
-		aspect_ratio_selector="1024 x 1024",
-		use_upscaler=False,
-		upscaler_strength=0.55,
-		upscale_by=1.5,
-		api_name="/run"
-)
-print(result)
-
-app.launch(show_api=False, share=False, error=True)
+import torch; from diffusers import StableDiffusionPipeline; model_id = "CompVis/stable-diffusion-v1-4"; pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16); def text_to_image(text): image = pipe(text).images[0]; image.save("image.png"); text_to_image("A futuristic cityscape with flying cars and towering skyscrapers.");