import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

#remember to login with token before loading model
def text_to_hair(prompt, 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=text_to_hair, inputs="text", outputs="image")
demo.launch()