Create app.py

app.py

@@ -0,0 +1,16 @@
+import transformers
+import gradio as gr
+from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
+import torch
+
+model_id = "stabilityai/stable-diffusion-2"
+scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
+pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+def imgtext(inp):
+  image = pipe(inp).images[0]
+  return image
+
+wp=gr.Interface(fn=imgtext,inputs="text",outputs="image")
+wp.launch()