Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+#remember to login with token before loading model
+def text_to_hair(prompt, save_name, num_inference_steps=500, guidance_scale=8, model_path ="CVH-vn1210/hair-model"):
+    pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2",torch_dtype=torch.float16)
+    pipe.unet.load_attn_procs(model_path)
+    pipe.to("cuda")
+    image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=8).images[0]
+    image.save(save_name) #comment if don't want to save image
+    return image #PIL format
+
+demo = gr.Interface(fn=image_classifier, inputs="text", outputs="image")
+demo.launch()