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Create app.py
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app.py
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| 1 |
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import os
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| 2 |
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from huggingface_hub import snapshot_download
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| 3 |
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import spaces
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os.makedirs("/home/user/app/ckpts", exist_ok=True)
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snapshot_download(repo_id="Tencent-Hunyuan/HunyuanDiT", local_dir="/home/user/app/ckpts")
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import gradio as gr
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import pandas as pd
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from pathlib import Path
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from PIL import Image
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import sys
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#sys.path.insert(0, str(Path(__file__).parent.parent))
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from hydit.constants import SAMPLER_FACTORY
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from sample_t2i import inferencer
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ROOT = Path(__file__).parent.parent
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SAMPLERS = list(SAMPLER_FACTORY.keys())
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SIZES = {
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"square": (1024, 1024),
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"landscape": (768, 1280),
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"portrait": (1280, 768),
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}
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def get_strings(lang):
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lang_file = Path(f"app/lang/{lang}.csv")
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strings = pd.read_csv(lang_file, header=0)
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strings = strings.set_index("key")['value'].to_dict()
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return strings
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args, gen, enhancer = inferencer()
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strings = get_strings("en")
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@spaces.GPU
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def infer(
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prompt,
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negative_prompt,
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seed,
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cfg_scale,
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infer_steps,
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oriW, oriH,
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sampler,
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size,
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enhance,
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progress=gr.Progress(track_tqdm=True)
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):
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if enhance and enhancer is not None:
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success, enhanced_prompt = enhancer(prompt)
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if not success:
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fail_image = Image.open(ROOT / 'app/fail.png')
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return fail_image
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else:
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enhanced_prompt = None
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height, width = SIZES[size]
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results = gen.predict(prompt,
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height=height,
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width=width,
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seed=seed,
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enhanced_prompt=enhanced_prompt,
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negative_prompt=negative_prompt,
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infer_steps=infer_steps,
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guidance_scale=cfg_scale,
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batch_size=1,
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src_size_cond=(oriW, oriH),
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sampler=sampler,
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)
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image = results['images'][0]
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return image
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def ui():
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block = gr.Blocks()
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description = f"""
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# {strings['title']}
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## {strings['desc']}
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"""
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with block:
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with gr.Row():
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gr.Markdown(description)
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with gr.Row():
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with gr.Column():
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with gr.Row():
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size = gr.Radio(
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label=strings['size'], choices=[
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(strings['square'], 'square'),
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(strings['landscape'], 'landscape'),
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(strings['portrait'], 'portrait'),
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],
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value="square"
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)
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prompt = gr.Textbox(label=strings['prompt'], value=strings['default prompt'], lines=3)
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with gr.Row():
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infer_steps = gr.Slider(
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label=strings['infer steps'], minimum=1, maximum=200, value=50, step=1,
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)
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seed = gr.Number(
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label=strings['seed'], minimum=-1, maximum=1_000_000_000, value=1, step=1, precision=0,
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)
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enhance = gr.Checkbox(
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label=strings['enhance'], value=enhancer is not None, interactive=True,
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)
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with gr.Accordion(
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strings['accordion'], open=False
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):
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with gr.Row():
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negative_prompt = gr.Textbox(label=strings['negative_prompt'],
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value=gen.default_negative_prompt,
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lines=2,
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)
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with gr.Row():
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sampler = gr.Dropdown(SAMPLERS, label=strings['sampler'], value="ddpm")
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cfg_scale = gr.Slider(
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label=strings['cfg'], minimum=1.0, maximum=16.0, value=6.0, step=1
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)
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oriW = gr.Number(
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label=strings['width cond'], minimum=1024, maximum=4096, value=1024, step=64, precision=0,
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min_width=80,
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)
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oriH = gr.Number(
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label=strings['height cond'], minimum=1024, maximum=4096, value=1024, step=64, precision=0,
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min_width=80,
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)
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with gr.Row():
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advanced_button = gr.Button(strings['run'])
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| 132 |
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with gr.Column():
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#default_img = Image.open(ROOT / 'app/default.png')
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| 134 |
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output_img = gr.Image(
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| 135 |
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label=strings['generated image'],
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interactive=False,
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format='png',
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| 138 |
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#value=default_img,
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)
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| 140 |
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advanced_button.click(
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fn=infer,
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| 142 |
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inputs=[
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| 143 |
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prompt, negative_prompt, seed, cfg_scale, infer_steps,
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| 144 |
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oriW, oriH, sampler, size, enhance,
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],
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outputs=output_img,
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)
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with gr.Row():
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gr.Examples([
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| 151 |
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['一只小猫'],
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['现实主义风格,画面主要描述一个巴洛克风格的花瓶,带有金色的装饰边框,花瓶上盛开着各种色彩鲜艳的花,白色背景'],
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['一只聪明的狐狸走在阔叶树林里, 旁边是一条小溪, 细节真实, 摄影'],
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['飞流直下三千尺,疑是银河落九天'],
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['一只长靴猫手持亮银色的宝剑,身着铠甲,眼神坚毅,站在一堆金币上,背景是暗色调的洞穴,图像上有金币的光影点缀。'],
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| 156 |
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['麻婆豆腐'],
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| 157 |
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['苏州园林'],
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| 158 |
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['一颗新鲜的草莓特写,红色的外表,表面布满许多种子,背景是淡绿色的叶子'],
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| 159 |
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['请画出“忽如一夜春风来 千树万树梨花开”'],
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| 160 |
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['请将“杞人忧天”的样子画出来'],
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['枯藤老树昏鸦,小桥流水人家'],
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['湖水清澈,天空湛蓝,阳光灿烂。一只优雅的白天鹅在湖边游泳。它周围有几只小鸭子,看起来非常可爱,整个画面给人一种宁静祥和的感觉。'],
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| 163 |
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['一朵鲜艳的红色玫瑰花,花瓣撒有一些水珠,晶莹剔透,特写镜头'],
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| 164 |
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['臭豆腐'],
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| 165 |
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['九寨沟'],
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['俗语“鲤鱼跃龙门”'],
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| 167 |
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['风格是写实,画面主要描述一个亚洲戏曲艺术家正在表演,她穿着华丽的戏服,脸上戴着精致的面具,身姿优雅,背景是古色古香的舞台,镜头是近景'],
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],
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[prompt],
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| 170 |
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label=strings['examples']
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)
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| 172 |
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return block
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| 173 |
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| 174 |
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| 175 |
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if __name__ == "__main__":
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interface = ui()
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| 177 |
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interface.launch()
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