To assist you better, could you please provide the specific error message you encountered during the process? This will help in identifying a solution to your problem. Thank you!
[INFO] Finish Loading ckpt_path from: ckpt/sd-v2.1-base-4view.pt
[INFO] Loaded Multiview Diffusion!
[INFO] Using prompt [a_monkey_riding_a_horse] and negative prompt [ugly, bad anatomy, blurry, pixelated obscure, unnatural colors, poor lighting, dull, and unclear, cropped, lowres, low quality, artifacts, duplicate, morbid, mutilated, poorly drawn face, deformed, dehydrated, bad proportions]
[INFO] Using view-dependent prompts [side]:[a_monkey_riding_a_horse, side view] [front]:[a_monkey_riding_a_horse, front view] [back]:[a_monkey_riding_a_horse, back view] [overhead]:[a_monkey_riding_a_horse, overhead view]
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
PyTorch 2.2.0+cu121 with CUDA 1201 (you have 2.2.0+cu118)
Python 3.10.13 (you have 3.10.12)
Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
Memory-efficient attention, SwiGLU, sparse and more won't be available.
Set XFORMERS_MORE_DETAILS=1 for more details
Process SpawnProcess-1:
Traceback (most recent call last):
File "/usr/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
self.run()
File "/usr/lib/python3.10/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/projects/MVDream-threestudio/threestudio/models/prompt_processors/stable_diffusion_prompt_processor.py", line 85, in spawn_func
tokens = tokenizer(
File "/home/dreamer/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2829, in __call__
encodings = self._call_one(text=text, text_pair=text_pair, **all_kwargs)
File "/home/dreamer/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 2915, in _call_one
return self.batch_encode_plus(
File "/home/dreamer/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 3106, in batch_encode_plus
return self._batch_encode_plus(
File "/home/dreamer/.local/lib/python3.10/site-packages/transformers/tokenization_utils_fast.py", line 496, in _batch_encode_plus
self.set_truncation_and_padding(
File "/home/dreamer/.local/lib/python3.10/site-packages/transformers/tokenization_utils_fast.py", line 467, in set_truncation_and_padding
self._tokenizer.enable_padding(**target)
OverflowError: int too big to convert
model
To assist you better, could you please provide the specific error message you encountered during the process? This will help in identifying a solution to your problem. Thank you!