taming transformers

app.py

@@ -19,9 +19,12 @@ from run_sjc import render_one_view, tsr_stats
 
 import gradio as gr
 import gc
+import os
 
 device_glb = torch.device("cuda")
 
+os.system("git clone --depth 1 git@github.com:CompVis/taming-transformers.git && pip install -e taming-transformers")
+
 def vis_routine(y, depth):
     pane = nerf_vis(y, depth, final_H=256)
     im = torch_samps_to_imgs(y)[0]

requirements.txt

@@ -13,5 +13,4 @@ transformers
 kornia==0.6.0
 git+https:///github.com/openai/CLIP.git#egg=clip
 imageio[ffmpeg]
-imageio[pyav]
-taming-transformers
+imageio[pyav]