Create app.py

app.py

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+from diffusers import StableDiffusionXLPipeline
+import torch
+from transformers.pipelines.image_to_text import Image
+from IPython.display import display
+import gradio as gr
+
+
+from diffusers.utils.import_utils import USE_SAFETENSORS
+pipe = StableDiffusionXLPipeline.from_pretrained(
+    "segmind/SSD-1B",
+    tensor_dtype = torch.float16,
+    USE_SAFETENSORS = True,
+    variant = 'fp16'
+)
+
+pipe.to('cuda')
+
+prompt = 'most beutiful  woMEN young realistic high quality  '
+neg_prompt = 'ugly, blurry, poor quality'
+
+image = pipe(prompt = prompt , negative_prompt = neg_prompt).images[0]
+
+display(image)
+
+
+def greet(prompt):
+    return "Hello " + prompt + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="image")
+iface.launch()