Mochi1 / app.py
Haoxin Chen
update change_lora func
62b6d65
raw
history blame
2.26 kB
import os
import sys
import time
import gradio as gr
from videocrafter_test import Text2Video
sys.path.insert(1, os.path.join(sys.path[0], 'lvdm'))
def videocrafter_demo(result_dir='./tmp/'):
text2video = Text2Video(result_dir)
with gr.Blocks(analytics_enabled=False) as videocrafter_iface:
with gr.Row().style(equal_height=False):
with gr.Tab(label="VideoCrafter"):
input_text = gr.Text()
model_choices=['origin','vangogh','frozen','yourname', 'coco']
trigger_word_list=[' ','Loving Vincent style', 'frozenmovie style', 'MakotoShinkaiYourName style', 'coco style']
with gr.Row():
model_index = gr.Dropdown(label='Models', elem_id=f"model", choices=model_choices, value=model_choices[0], type="index",interactive=True)
trigger_word=gr.Dropdown(label='Trigger Word', elem_id=f"trigger_word", choices=trigger_word_list, value=trigger_word_list[0], interactive=True)
with gr.Row():
steps = gr.Slider(minimum=1, maximum=200, step=1, elem_id=f"steps", label="Sampling steps", value=50)
eta = gr.Slider(minimum=0.0, maximum=1.0, step=0.1, label='ETA', value=1.0, elem_id="eta")
with gr.Row():
lora_scale = gr.Slider(minimum=0.0, maximum=2.0, step=0.1, label='Lora Scale', value=1.0, elem_id="lora_scale")
cfg_scale = gr.Slider(minimum=1.0, maximum=30.0, step=0.5, label='CFG Scale', value=15.0, elem_id="cfg_scale")
send_btn = gr.Button("Send")
with gr.Column():
output_video_1 = gr.PlayableVideo()
send_btn.click(
fn=text2video.get_prompt,
inputs=[
input_text,
steps,
model_index,
eta,
cfg_scale,
lora_scale,
trigger_word
],
outputs=[output_video_1],
)
return videocrafter_iface
if __name__ == "__main__":
result_dir = os.path.join('./', 'results')
videocrafter_iface = videocrafter_demo(result_dir)
videocrafter_iface.launch()