A matching Triton is not available, some optimizations will not be enabled. Error caught was: No module named 'triton' usage: test_mvdiffusion_seq.py [-h] --config CONFIG test_mvdiffusion_seq.py: error: the following arguments are required: --config

[peepeepeepoopoopoo]

Now I get this error, I read elsewhere that it is only on Linux and to run it you need to install WLS 2 https://github.com/XPixelGroup/DiffBIR/issues/31#issuecomment-1716489611 https://github.com/bycloud-AI/DiffBIR-Windows/

but I see that you have to have 8gb vram, mine is gtx 1660 6gb, it means that there is no way to run it, I think I understand, is there another solution?

C:\Users\USUARIO\Desktop\wonder3d>@echo off set PYTHON_PATH=C:\Users\USUARIO\AppData\Local\Programs\Python\Python311\python.exe set SCRIPT_PATH=C:\Users\USUARIO\Desktop\wonder3d\test_mvdiffusion_seq.py

%PYTHON_PATH% %SCRIPT_PATH% A matching Triton is not available, some optimizations will not be enabled. Error caught was: No module named 'triton' usage: test_mvdiffusion_seq.py [-h] --config CONFIG test_mvdiffusion_seq.py: error: the following arguments are required: --config

python test_mvdiffusion_seq.py --config C:\Users\USUARIO\Desktop\wonder3d\configs\mvdiffusion-joint-ortho-6views.yaml A matching Triton is not available, some optimizations will not be enabled. Error caught was: No module named 'triton' {'pretrained_model_name_or_path': 'lambdalabs/sd-image-variations-diffusers', 'pretrained_unet_path': './ckpts/', 'revision': None, 'validation_dataset': {'root_dir': './example_images', 'num_views': 6, 'bg_color': 'white', 'img_wh': [256, 256], 'num_validation_samples': 1000, 'crop_size': 192, 'filepaths': ['owl.png']}, 'save_dir': 'outputs/', 'pred_type': 'joint', 'seed': 42, 'validation_batch_size': 1, 'dataloader_num_workers': 64, 'local_rank': -1, 'pipe_kwargs': {'camera_embedding_type': 'e_de_da_sincos', 'num_views': 6}, 'validation_guidance_scales': [3.0], 'pipe_validation_kwargs': {'eta': 1.0}, 'validation_grid_nrow': 6, 'unet_from_pretrained_kwargs': {'camera_embedding_type': 'e_de_da_sincos', 'projection_class_embeddings_input_dim': 10, 'num_views': 6, 'sample_size': 32, 'zero_init_conv_in': False, 'zero_init_camera_projection': False}, 'num_views': 6, 'camera_embedding_type': 'e_de_da_sincos', 'enable_xformers_memory_efficient_attention': True}