add all

app.py

@@ -381,8 +381,8 @@ def create_demo():
             mesh_output = gr.Model3D(
                 label="3D Mesh", 
                 clear_color=[1.0, 1.0, 1.0, 1.0],
-                width=1280,  # Full width
-                height=600   # Taller for better visualization
+                # width=1280,  # Full width
+                # height=600   # Taller for better visualization
             )
 
         # Set up event handlers

requirements.txt

@@ -12,7 +12,7 @@ contourpy==1.3.0
 cycler==0.12.1
 dataclasses-json==0.6.7
 Deprecated==1.2.14
-diffusers==0.19.3
+diffusers
 einops==0.8.1
 fastapi==0.112.4
 ffmpy==0.4.0
@@ -25,7 +25,7 @@ gradio_client==1.3.0
 h11==0.14.0
 httpcore==1.0.6
 httpx==0.27.2
-huggingface-hub==0.25.2
+huggingface-hub
 imageio==2.35.1
 importlib_metadata==8.6.1
 importlib_resources==6.4.5
@@ -110,5 +110,5 @@ git+https://github.com/NVlabs/nvdiffrast.git
 rembg
 onnxruntime
 kiui
-transformers==4.30.2
+transformers
 PyMCubes

zero123plus/pipeline.py

@@ -13,7 +13,7 @@ from PIL import Image
 from torchvision import transforms
 from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
-from diffusers.utils import randn_tensor
+randn_tensor = torch.randn
 import diffusers
 from diffusers import (
     AutoencoderKL,