Create app.py

app.py

@@ -0,0 +1,14 @@
+import gradio as gr
+import torch
+# from diffusers import DiffusionPipeline
+from diffusers import StableDiffusionPipeline
+
+SAFETENSORS_PATH = "./dreamshaper_5BakedVae.safetensors"
+
+def generate(prompt):
+    pipeline = StableDiffusionPipeline.from_pretrained(SAFETENSORS_PATH , torch_dtype = torch.float16 , use_safetensors = True)
+    pipeline.to("cuda")
+    return pipeline(prompt).images[0]
+
+iface = gr.Interface(fn=generate, inputs="text", outputs="image")
+iface.launch()