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import gradio as gr
import numpy as np
from train import *
example_inputs = [[
"A DSLR photo of a Rugged, vintage-inspired hiking boots with a weathered leather finish, best quality, 4K, HD.",
"Rugged, vintage-inspired hiking boots with a weathered leather finish."
], [
"a DSLR photo of a Cream Cheese Donut.",
"a Donut."
], [
"A durian, 8k, HDR.",
"A durian"
], [
"A pillow with huskies printed on it",
"A pillow"
], [
"A DSLR photo of a wooden car, super detailed, best quality, 4K, HD.",
"a wooden car."
]]
example_outputs = [
gr.Video(value=os.path.join(os.path.dirname(__file__), 'example/boots.mp4'), autoplay=True),
gr.Video(value=os.path.join(os.path.dirname(__file__), 'example/Donut.mp4'), autoplay=True),
gr.Video(value=os.path.join(os.path.dirname(__file__), 'example/durian.mp4'), autoplay=True),
gr.Video(value=os.path.join(os.path.dirname(__file__), 'example/pillow_huskies.mp4'), autoplay=True),
gr.Video(value=os.path.join(os.path.dirname(__file__), 'example/wooden_car.mp4'), autoplay=True)
]
def main(prompt, init_prompt, negative_prompt, num_iter, CFG, seed):
if [prompt, init_prompt] in example_inputs:
return example_outputs[example_inputs.index([prompt, init_prompt])]
args, lp, op, pp, gcp, gp = args_parser(default_opt=os.path.join(os.path.dirname(__file__), 'configs/white_hair_ironman.yaml'))
gp.text = prompt
gp.negative = negative_prompt
if len(init_prompt) > 1:
gcp.init_shape = 'pointe'
gcp.init_prompt = init_prompt
else:
gcp.init_shape = 'sphere'
gcp.init_prompt = '.'
op.iterations = num_iter
gp.guidance_scale = CFG
gp.noise_seed = int(seed)
lp.workspace = 'gradio_demo'
video_path = start_training(args, lp, op, pp, gcp, gp)
return gr.Video(value=video_path, autoplay=True)
with gr.Blocks() as demo:
gr.Markdown("# <center>LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching</center>")
gr.Markdown("<center>This Gradio space is developed by © Haodong Li.</center>")
gr.Interface(fn=main, inputs=[gr.Textbox(lines=2, value="A portrait of IRONMAN, white hair, head, photorealistic, 8K, HDR.", label="Your prompt"),
gr.Textbox(lines=1, value="a man head.", label="Point-E init prompt (optional)"),
gr.Textbox(lines=2, value="unrealistic, blurry, low quality, out of focus, ugly, low contrast, dull, low-resolution.", label="Negative prompt (optional)"),
gr.Slider(1000, 5000, value=5000, label="Number of iterations"),
gr.Slider(7.5, 100, value=7.5, label="CFG"),
gr.Number(value=0, label="Seed")],
outputs="playable_video",
examples=example_inputs,
cache_examples=True)
demo.launch()
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