second commit use stablepipeline from a single file

app.py

@@ -1,7 +1,41 @@
+
 import gradio as gr
+import torch
+from diffusers import AutoencoderKL, StableDiffusionXLPipeline,StableDiffusionPipeline
+
+pipe = StableDiffusionPipeline.from_single_file(
+    "https://huggingface.co/ethe/Architecture_model/blob/main/architectureExterior_v40Exterior.safetensors",
+    # "/mnt/pfs-guan-ssai/cv/panxuhao/checkpoints/stable-diffusion-xl-base-1.0/sd_xl_base_1.0.safetensors",
+    torch_dtype=torch.float16,
+    local_files_only=True,
+    variant="fp16", 
+    use_safetensors=True,
+)
+
+num_images_per_prompt = 4
+prompt = 'Modern Elegance:Explore the seamless blend of sleek lines, minimalist aesthetics, and cutting-edge design in modern interior decor'
 
-def greet(name):
-    return "Hello " + name + "!!"
+def inference():
+    image = pipe(
+        prompt=prompt, 
+        negative_prompt="watermark, logo, symbol, word, phrase, human, noisy, blurry, deformed, ugly, NSFW, low quality, worst quality, monochrome, illustration, sketch, grayscale, backlight, messy, blurry",
+        num_inference_steps=30, 
+        # cross_attention_kwargs={"scale": lora_scale}, 
+        generator=torch.manual_seed(0),
+        width=768,
+        height=768,
+        guidance_scale=7.0,
+        use_karras_sigmas=True,
+        num_images_per_prompt=num_images_per_prompt,  # 如果是 4, image 就是四张图片组成的 List
+    ).images
+    return image
+demo = gr.Interface(
+    fn=inference,
+    inputs=None,
+    outputs=gr.Gallery(label="可能满足你需求的室内设计图：", 
+                                  columns=3, 
+                                  height="auto", 
+                                  object_fit="contain")
+)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+demo.launch()