import os import json import requests import gradio as gr from util import base64_to_img, img_to_base64, resize_image url = os.getenv("REQUEST_URL") headers = {'Content-Type': 'application/json', 'Validation-Key': os.getenv("VALIDATION_KEY")} names = ["input_image", "prompt", "neg_prompt", "maxlen", "step", "cfg", "seed", "up", "down", "left", "right"] def run(*params): params = {k:v for k, v in zip(names, params)} image = params.pop("input_image") image = resize_image(image) params["image_base64"] = img_to_base64(image) try: response = requests.post(url, headers=headers, data=json.dumps(params), timeout=30) if response.status_code != 200: raise ValueError() data = response.json() except: raise gr.Error("Fail to generate") if data["code"] != 0: raise gr.Error(data["message"]) result = base64_to_img(data["content"]) return result with gr.Blocks() as demo: gr.Markdown("# SDXL inpainting for Clothes2Human") with gr.Row().style(equal_height=True): with gr.Column(): input_image = gr.Image(type="pil", height=300) with gr.Column(): output_image = gr.Image(type="pil", height=300) with gr.Row(): with gr.Column(): prompt = gr.Textbox(label="Prompt") neg_prompt = gr.Textbox(label="Negative Prompt") maxlen = gr.Slider(label="Max Edge Length", step=32, minimum=768, maximum=1536, value=1024) step = gr.Slider(label="Step", minimum=20, maximum=70, value=50, step=1) with gr.Column(): up = gr.Slider(label="Scale Up Image", minimum=-0.3, maximum=0.5, value=0, step=0.1) down = gr.Slider(label="Scale Down Image", minimum=-0.3, maximum=0.5, value=0, step=0.1) left = gr.Slider(label="Scale Left Image", minimum=-0.3, maximum=0.5, value=0, step=0.1) right = gr.Slider(label="Scale Right Image", minimum=-0.3, maximum=0.5, value=0, step=0.1) with gr.Column(): cfg = gr.Slider(label="CFG Scale", minimum=1.0, maximum=9.0, value=5.0, step=0.5) seed = gr.Slider(label="Seed", minimum=-1, maximum=1000000, value=-1, step=1) inpaint_button = gr.Button() run_in = [input_image, prompt, neg_prompt, maxlen, step, cfg, seed, up, down, left, right] inpaint_button.click(run, inputs=run_in, outputs=[output_image]) gr.Examples([["imgs/1.jpg","A man wearing a white T-shirt stands on the beach","", 1024, 50, 5.0, 333866, 0.3, 0.3, 0.1, 0.1], ["imgs/2.jpg"," woman wearing a blue dress stands in a park, asian race","", 1280, 50, 5.0, 443652, 0.3, 0.3, 0.2, 0.2], ["imgs/3.jpg","A woman wearing a white dress stands","", 1280, 50, 5.0, 306728, -0.1, -0.2, 0, 0]], inputs=run_in, outputs=[output_image], fn=run, cache_examples=True) demo.queue(concurrency_count=2).launch()