Spaces:
Running
on
L40S
Running
on
L40S
Upload app.py with huggingface_hub
Browse files
app.py
CHANGED
@@ -34,67 +34,7 @@ from PIL import Image
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from einops import rearrange
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import pandas as pd
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# import sys
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# import spaces
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# import subprocess
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# from huggingface_hub import snapshot_download
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# def install_cuda_toolkit():
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# # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
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# CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
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# CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
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# subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
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# subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
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# subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
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-
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# os.environ["CUDA_HOME"] = "/usr/local/cuda"
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# os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
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# os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
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# os.environ["CUDA_HOME"],
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# "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
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# )
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# # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
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# os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
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# def install_requirements():
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# subprocess.check_call([sys.executable, "-m", "pip", "install", "git+https://github.com/NVlabs/nvdiffrast"])
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# subprocess.check_call([sys.executable, "-m", "pip", "install", "git+https://github.com/facebookresearch/pytorch3d@stable"])
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# def download_models():
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# os.makedirs("weights", exist_ok=True)
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# os.makedirs("weights/hunyuanDiT", exist_ok=True)
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# os.makedirs("third_party/weights/DUSt3R_ViTLarge_BaseDecoder_512_dpt", exist_ok=True)
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# try:
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# snapshot_download(
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# repo_id="tencent/Hunyuan3D-1",
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# local_dir="./weights",
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# resume_download=True
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# )
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# print("Successfully downloaded Hunyuan3D-1 model")
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# except Exception as e:
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# print(f"Error downloading Hunyuan3D-1: {e}")
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# try:
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# snapshot_download(
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# repo_id="Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers-Distilled",
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# local_dir="./weights/hunyuanDiT",
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# resume_download=True
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# )
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# print("Successfully downloaded HunyuanDiT model")
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# except Exception as e:
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# print(f"Error downloading HunyuanDiT: {e}")
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# try:
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# snapshot_download(
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# repo_id="naver/DUSt3R_ViTLarge_BaseDecoder_512_dpt",
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# local_dir="./third_party/weights/DUSt3R_ViTLarge_BaseDecoder_512_dpt",
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# resume_download=True
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# )
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# print("Successfully downloaded DUSt3R model")
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# except Exception as e:
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# print(f"Error downloading DUSt3R: {e}")
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# install_cuda_toolkit()
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# install_requirements()
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# download_models()
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from infer import seed_everything, save_gif
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from infer import Text2Image, Removebg, Image2Views, Views2Mesh, GifRenderer
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from third_party.check import check_bake_available
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@@ -135,7 +75,7 @@ CONST_HEADER = '''
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CONST_NOTE = '''
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❗️❗️❗️Usage❗️❗️❗️<br>
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Limited by format, the model can only export *.obj mesh with vertex colors. The "
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Please click "Do Rendering" to export a GIF.<br>
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You can click "Do Baking" to bake multi-view imgaes onto the shape.<br>
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@@ -206,7 +146,6 @@ def gen_save_folder(max_size=30):
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print(f"mkdir {save_folder} suceess !!!")
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return save_folder
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@space.GPU(duration=120)
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def stage_0_t2i(text, seed, step, save_folder):
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dst = save_folder + '/img.png'
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image = worker_t2i(text, seed, step)
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rgba.save(dst)
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return dst
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# @space.GPU
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def stage_2_i2v(image, seed, step, save_folder):
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if isinstance(image, str):
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image = Image.open(image)
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show_img = Image.fromarray(show_img)
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return views_img, cond_img, show_img
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# @space.GPU
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def stage_3_v23(
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views_pil,
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cond_pil,
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seed,
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save_folder,
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target_face_count = 30000,
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texture_color = '
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):
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do_texture_mapping = texture_color == '
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worker_v23(
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views_pil,
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cond_pil,
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@@ -262,16 +199,14 @@ def stage_3_v23(
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obj_dst = save_folder + '/mesh_vertex_colors.obj' # gradio just only can show vertex shading
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return obj_dst, glb_dst
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# @space.GPU
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def stage_3p_baking(save_folder, color, bake, force, front, others, align_times):
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if color == "
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obj_dst = worker_baker(save_folder, force, front, others, align_times)
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glb_dst = obj_dst.replace(".obj", ".glb")
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return glb_dst
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else:
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return None
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# @space.GPU
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def stage_4_gif(save_folder, color, bake, render):
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if not render: return None
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baked_fld_list = sorted(glob(save_folder + '/view_*/bake/mesh.obj'))
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@@ -306,24 +241,24 @@ def check_image_available(image):
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def update_mode(mode):
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color_change = {
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'
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'
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'
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}[mode]
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bake_change = {
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'
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'
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'
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}[mode]
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face_change = {
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'
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'Moderate': gr.update(value=60000, maximum=300000),
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'
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}[mode]
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render_change = {
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'
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'
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'
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}[mode]
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return color_change, bake_change, face_change, render_change
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@@ -344,17 +279,17 @@ with gr.Blocks() as demo:
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with gr.Tab("Text to 3D"):
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with gr.Column():
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text = gr.TextArea('一只黑白相间的熊猫在白色背景上居中坐着,呈现出卡通风格和可爱氛围。',
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lines=3, max_lines=20, label='Input text')
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textgen_mode = gr.Radio(
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choices=['
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label="
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value='
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interactive=True
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)
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with gr.Accordion("Custom settings", open=False):
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textgen_color = gr.Radio(choices=["vertex", "
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with gr.Row():
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textgen_render = gr.Checkbox(
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)
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textgen_other_views = gr.CheckboxGroup(
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choices=['60°', '120°', '180°', '240°', '300°'],
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label="Other views
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value=['180°'],
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interactive=True,
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visible=True
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)
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textgen_align_times =gr.Slider(
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value=3,
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minimum=1,
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maximum=5,
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)
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textgen_color.change(
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fn=lambda x:[
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gr.update(value=(x=='
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gr.update(value=(x=='
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],
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inputs=textgen_color,
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outputs=[
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)
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textgen_bake.change(
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fn= lambda x:[
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inputs=textgen_bake,
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outputs=[
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)
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-
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### Image iutput region
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with gr.Tab("Image to 3D"):
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alert_message = gr.Markdown("") # for warning
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imggen_mode = gr.Radio(
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choices=['
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label="
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value='
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interactive=True
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)
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with gr.Accordion("Custom settings", open=False):
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imggen_color = gr.Radio(choices=["vertex", "
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with gr.Row():
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imggen_removebg = gr.Checkbox(
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label="Gen steps",
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interactive=True
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)
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imggen_max_faces =gr.Slider(
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value=10000,
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minimum=2000,
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maximum=60000,
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)
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imggen_other_views = gr.CheckboxGroup(
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choices=['60°', '120°', '180°', '240°', '300°'],
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label="Other views
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value=['180°'],
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interactive=True,
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visible=True
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)
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imggen_color.change(
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fn=lambda x:[
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inputs=imggen_color,
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outputs=[
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)
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imggen_bake.change(
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fn= lambda x:[
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inputs=imggen_bake,
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outputs=[
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)
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with gr.Row():
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with gr.Row():
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gr.Examples(examples=example_is, inputs=[input_image],
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label="Img examples", examples_per_page=10)
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gr.Markdown(CONST_NOTE)
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result_3dglb_texture = gr.Model3D(
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clear_color=[0.0, 0.0, 0.0, 0.0],
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label="GLB
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show_label=True,
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visible=True,
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camera_position=[90, 90, None],
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result_3dglb_baked = gr.Model3D(
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clear_color=[0.0, 0.0, 0.0, 0.0],
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label="GLB
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show_label=True,
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visible=True,
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camera_position=[90, 90, None],
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with gr.Row():
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gr.Markdown(
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"Due to Gradio limitations, OBJ files are displayed with vertex shading only, "
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"while GLB files can be viewed with
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"we recommend downloading the GLB files and opening them with 3D software "
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"like Blender or MeshLab."
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)
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fn=stage_4_gif,
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inputs=[save_folder, textgen_color, textgen_bake, textgen_render],
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outputs=[result_gif],
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).success(lambda: print('Text_to_3D Done
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imggen_submit.click(
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fn=stage_4_gif,
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inputs=[save_folder, imggen_color, imggen_bake, imggen_render],
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outputs=[result_gif],
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).success(lambda: print('Image_to_3D Done
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#===============================================================
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# start gradio server
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from einops import rearrange
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import pandas as pd
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# import spaces
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from infer import seed_everything, save_gif
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from infer import Text2Image, Removebg, Image2Views, Views2Mesh, GifRenderer
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from third_party.check import check_bake_available
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CONST_NOTE = '''
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❗️❗️❗️Usage❗️❗️❗️<br>
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+
Limited by format, the model can only export *.obj mesh with vertex colors. The "face" mod can only work on *.glb.<br>
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Please click "Do Rendering" to export a GIF.<br>
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You can click "Do Baking" to bake multi-view imgaes onto the shape.<br>
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print(f"mkdir {save_folder} suceess !!!")
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return save_folder
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def stage_0_t2i(text, seed, step, save_folder):
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dst = save_folder + '/img.png'
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image = worker_t2i(text, seed, step)
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rgba.save(dst)
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return dst
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def stage_2_i2v(image, seed, step, save_folder):
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if isinstance(image, str):
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image = Image.open(image)
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show_img = Image.fromarray(show_img)
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return views_img, cond_img, show_img
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def stage_3_v23(
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views_pil,
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cond_pil,
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seed,
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save_folder,
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target_face_count = 30000,
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texture_color = 'face'
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):
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do_texture_mapping = texture_color == 'face'
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worker_v23(
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views_pil,
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cond_pil,
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obj_dst = save_folder + '/mesh_vertex_colors.obj' # gradio just only can show vertex shading
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return obj_dst, glb_dst
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def stage_3p_baking(save_folder, color, bake, force, front, others, align_times):
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if color == "face" and bake:
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obj_dst = worker_baker(save_folder, force, front, others, align_times)
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glb_dst = obj_dst.replace(".obj", ".glb")
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return glb_dst
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else:
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return None
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def stage_4_gif(save_folder, color, bake, render):
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if not render: return None
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baked_fld_list = sorted(glob(save_folder + '/view_*/bake/mesh.obj'))
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def update_mode(mode):
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color_change = {
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'Vertex color': gr.update(value='vertex'),
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'Face color': gr.update(value='face'),
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'Baking': gr.update(value='face')
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}[mode]
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bake_change = {
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'Vertex color': gr.update(value=False, interactive=False, visible=False),
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'Face color': gr.update(value=False),
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'Baking': gr.update(value=BAKE_AVAILEBLE)
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}[mode]
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face_change = {
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'Vertex color': gr.update(value=120000, maximum=300000),
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'Moderate': gr.update(value=60000, maximum=300000),
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'Baking': gr.update(value=10000, maximum=60000)
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}[mode]
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render_change = {
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'Vertex color': gr.update(value=False, interactive=False, visible=False),
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'Face color': gr.update(value=True),
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'Baking': gr.update(value=True)
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}[mode]
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return color_change, bake_change, face_change, render_change
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with gr.Tab("Text to 3D"):
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with gr.Column():
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text = gr.TextArea('一只黑白相间的熊猫在白色背景上居中坐着,呈现出卡通风格和可爱氛围。',
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lines=3, max_lines=20, label='Input text (within 70 words)')
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textgen_mode = gr.Radio(
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choices=['Vertex color', 'Face color', 'Baking'],
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label="Texture mode",
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value='Baking',
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interactive=True
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)
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290 |
|
291 |
with gr.Accordion("Custom settings", open=False):
|
292 |
+
textgen_color = gr.Radio(choices=["vertex", "face"], label="Color", value="face")
|
293 |
|
294 |
with gr.Row():
|
295 |
textgen_render = gr.Checkbox(
|
|
|
347 |
)
|
348 |
textgen_other_views = gr.CheckboxGroup(
|
349 |
choices=['60°', '120°', '180°', '240°', '300°'],
|
350 |
+
label="Other views baking",
|
351 |
value=['180°'],
|
352 |
interactive=True,
|
353 |
visible=True
|
354 |
)
|
355 |
+
textgen_align_times = gr.Slider(
|
356 |
value=3,
|
357 |
minimum=1,
|
358 |
maximum=5,
|
|
|
375 |
)
|
376 |
textgen_color.change(
|
377 |
fn=lambda x:[
|
378 |
+
gr.update(value=(x=='face'), interactive=(x=='face'), visible=(x=='face')),
|
379 |
+
gr.update(value=(x=='face'), interactive=(x=='face'), visible=(x=='face')),
|
380 |
],
|
381 |
inputs=textgen_color,
|
382 |
+
outputs=[
|
383 |
+
textgen_bake,
|
384 |
+
textgen_render
|
385 |
+
]
|
386 |
)
|
387 |
textgen_bake.change(
|
388 |
+
fn= lambda x:[
|
389 |
+
gr.update(visible=x),
|
390 |
+
gr.update(visible=x),
|
391 |
+
gr.update(visible=x),
|
392 |
+
gr.update(visible=x),
|
393 |
+
gr.update(value=10000 if x else 120000, minimum=2000, maximum=60000 if x else 300000)
|
394 |
+
],
|
395 |
inputs=textgen_bake,
|
396 |
+
outputs=[
|
397 |
+
textgen_front_baking,
|
398 |
+
textgen_other_views,
|
399 |
+
textgen_align_times,
|
400 |
+
textgen_force_bake,
|
401 |
+
textgen_max_faces
|
402 |
+
]
|
403 |
)
|
404 |
|
|
|
405 |
### Image iutput region
|
406 |
|
407 |
with gr.Tab("Image to 3D"):
|
|
|
412 |
alert_message = gr.Markdown("") # for warning
|
413 |
|
414 |
imggen_mode = gr.Radio(
|
415 |
+
choices=['Vertex color', 'Face color', 'Baking'],
|
416 |
+
label="Texture mode",
|
417 |
+
value='Baking',
|
418 |
interactive=True
|
419 |
)
|
420 |
|
421 |
with gr.Accordion("Custom settings", open=False):
|
422 |
+
imggen_color = gr.Radio(choices=["vertex", "face"], label="Color", value="face")
|
423 |
|
424 |
with gr.Row():
|
425 |
imggen_removebg = gr.Checkbox(
|
|
|
447 |
label="Gen steps",
|
448 |
interactive=True
|
449 |
)
|
450 |
+
imggen_max_faces = gr.Slider(
|
451 |
value=10000,
|
452 |
minimum=2000,
|
453 |
maximum=60000,
|
|
|
471 |
)
|
472 |
imggen_other_views = gr.CheckboxGroup(
|
473 |
choices=['60°', '120°', '180°', '240°', '300°'],
|
474 |
+
label="Other views baking",
|
475 |
value=['180°'],
|
476 |
interactive=True,
|
477 |
visible=True
|
|
|
498 |
)
|
499 |
|
500 |
imggen_color.change(
|
501 |
+
fn=lambda x:[
|
502 |
+
gr.update(value=(x=='face'), interactive=(x=='face'), visible=(x=='face')),
|
503 |
+
gr.update(value=(x=='face'), interactive=(x=='face'), visible=(x=='face'))
|
504 |
+
],
|
505 |
inputs=imggen_color,
|
506 |
+
outputs=[
|
507 |
+
imggen_bake,
|
508 |
+
imggen_render
|
509 |
+
]
|
510 |
)
|
511 |
|
512 |
imggen_bake.change(
|
513 |
+
fn= lambda x:[
|
514 |
+
gr.update(visible=x),
|
515 |
+
gr.update(visible=x),
|
516 |
+
gr.update(visible=x),
|
517 |
+
gr.update(visible=x),
|
518 |
+
gr.update( value=10000 if x else 120000, minimum=2000, maximum=60000 if x else 300000)
|
519 |
+
],
|
520 |
inputs=imggen_bake,
|
521 |
+
outputs=[
|
522 |
+
imggen_front_baking,
|
523 |
+
imggen_other_views,
|
524 |
+
imggen_align_times,
|
525 |
+
imggen_force_bake,
|
526 |
+
imggen_max_faces
|
527 |
+
]
|
528 |
)
|
529 |
|
530 |
with gr.Row():
|
|
|
533 |
with gr.Row():
|
534 |
gr.Examples(examples=example_is, inputs=[input_image],
|
535 |
label="Img examples", examples_per_page=10)
|
|
|
536 |
|
537 |
gr.Markdown(CONST_NOTE)
|
538 |
|
|
|
565 |
|
566 |
result_3dglb_texture = gr.Model3D(
|
567 |
clear_color=[0.0, 0.0, 0.0, 0.0],
|
568 |
+
label="GLB face color",
|
569 |
show_label=True,
|
570 |
visible=True,
|
571 |
camera_position=[90, 90, None],
|
|
|
573 |
|
574 |
result_3dglb_baked = gr.Model3D(
|
575 |
clear_color=[0.0, 0.0, 0.0, 0.0],
|
576 |
+
label="GLB baking",
|
577 |
show_label=True,
|
578 |
visible=True,
|
579 |
camera_position=[90, 90, None],
|
|
|
584 |
with gr.Row():
|
585 |
gr.Markdown(
|
586 |
"Due to Gradio limitations, OBJ files are displayed with vertex shading only, "
|
587 |
+
"while GLB files can be viewed with face color. <br>For the best experience, "
|
588 |
"we recommend downloading the GLB files and opening them with 3D software "
|
589 |
"like Blender or MeshLab."
|
590 |
)
|
|
|
627 |
fn=stage_4_gif,
|
628 |
inputs=[save_folder, textgen_color, textgen_bake, textgen_render],
|
629 |
outputs=[result_gif],
|
630 |
+
).success(lambda: print('Text_to_3D Done ...\n'))
|
631 |
|
632 |
|
633 |
imggen_submit.click(
|
|
|
655 |
fn=stage_4_gif,
|
656 |
inputs=[save_folder, imggen_color, imggen_bake, imggen_render],
|
657 |
outputs=[result_gif],
|
658 |
+
).success(lambda: print('Image_to_3D Done ...\n'))
|
659 |
|
660 |
#===============================================================
|
661 |
# start gradio server
|