Update app.py to refine image generation and adjust demo sharing settings; modify requirements for xformers and restore utils3d dependency

app.py

@@ -9,9 +9,6 @@ import os
 os.environ['SPCONV_ALGO'] = 'native'
 from typing import *
 import torch
-print(torch.__version__)
-print(torch.cuda.is_available())
-os.system("nvidia-smi")
 import numpy as np
 import imageio
 import uuid
@@ -112,6 +109,9 @@ def generate_item_image(object_t2i_prompt):
     trial_id, processed_image = preprocess_pil_image(image)
     yield trial_id, processed_image
 
+generate_item_image("A vintage golden pocket watch with intricate floral engravings, polished metal, and Roman numerals on its clock face. Its chain is smooth and reflective, completing the elegant design.")
+print("Done")
+
 def pack_state(gs: Gaussian, mesh: MeshExtractResult, trial_id: str) -> dict:
     return {
         'gaussian': {
@@ -361,4 +361,4 @@ if __name__ == "__main__":
         pipeline.preprocess_image(Image.fromarray(np.zeros((512, 512, 3), dtype=np.uint8)))    # Preload rembg
     except:
         pass
-    demo.launch(share=True)
+    demo.launch(share=False)

requirements.txt

@@ -17,10 +17,10 @@ xatlas==0.0.9
 pyvista==0.44.2
 pymeshfix==0.17.0
 igraph==0.11.8
-git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8
-xformers==0.0.27.post2
+xformers
 spconv-cu120
 transformers
 gradio_litmodel3d
+git+https://github.com/EasternJournalist/utils3d.git@9a4eb15e4021b67b12c460c7057d642626897ec8
 https://huggingface.co/spaces/JeffreyXiang/TRELLIS/resolve/main/wheels/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl?download=true
 https://huggingface.co/spaces/JeffreyXiang/TRELLIS/resolve/main/wheels/nvdiffrast-0.3.3-cp310-cp310-linux_x86_64.whl?download=true

wheels/diff_gaussian_rasterization-0.0.0-cp310-cp310-linux_x86_64.whl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:bd33150078ce0aab90b5628df0c0b6d5792671422cefe5ee2ceb36ff003239d0
-size 716362