how to text-to-3D?

[MathamPollard]

No description provided.

[alex-wong123]

python3 gradio_app.py --model_path tencent/Hunyuan3D-2 --subfolder hunyuan3d-dit-v2-0-turbo --texgen_model_path tencent/Hunyuan3D-2 --low_vram_mode --enable_flashvdm --enable_t23d

[theoneonlykid69]

line 709, in load_sub_model
raise ValueError(
ValueError: The component <class 'transformers.models.t5.tokenization_t5._LazyModule.getattr..Placeholder'> of <class 'diffusers.pipelines.pag.pipeline_pag_hunyuandit.HunyuanDiTPAGPipeline'> cannot be loaded as it does not seem to have any of the loading methods defined in {'ModelMixin': ['save_pretrained', 'from_pretrained'], 'SchedulerMixin': ['save_pretrained', 'from_pretrained'], 'DiffusionPipeline': ['save_pretrained', 'from_pretrained'], 'OnnxRuntimeModel': ['save_pretrained', 'from_pretrained'], 'PreTrainedTokenizer': ['save_pretrained', 'from_pretrained'], 'PreTrainedTokenizerFast': ['save_pretrained', 'from_pretrained'], 'PreTrainedModel': ['save_pretrained', 'from_pretrained'], 'FeatureExtractionMixin': ['save_pretrained', 'from_pretrained'], 'ProcessorMixin': ['save_pretrained', 'from_pretrained'], 'ImageProcessingMixin': ['save_pretrained', 'from_pretrained'], 'ORTModule': ['save_pretrained', 'from_pretrained']}.

[theoneonlykid69]

try
pip install sentencepiece
first,

if that does not work, ""I was able to fix this by adding at file to my main hunyuan3d-2 folder called fix_lazy_loading.py"" copy and past the code below into said file.

fix_lazy_loading.py

# Patch for lazy loading issues
import sys
import importlib

def patch_t5_tokenizer():
    """Force proper loading of T5 tokenizer"""
    try:
        # Force import of T5 tokenizer module
        import transformers.models.t5.tokenization_t5
        
        # Ensure the module is properly loaded
        if hasattr(transformers.models.t5.tokenization_t5, 'T5Tokenizer'):
            print("T5Tokenizer successfully loaded")
            return True
        else:
            print("T5Tokenizer not found in module")
            return False
    except Exception as e:
        print(f"Failed to patch T5 tokenizer: {e}")
        return False

def patch_transformers():
    """Apply patches to fix lazy loading"""
    # Import transformers first
    import transformers
    
    # Force load tokenizer modules
    from transformers import T5Tokenizer, T5TokenizerFast
    
    # Monkey patch the lazy module if needed
    import transformers.models.t5.tokenization_t5 as t5_tokenizer_module
    
    # Ensure classes are properly exposed
    if not hasattr(t5_tokenizer_module, 'T5Tokenizer'):
        t5_tokenizer_module.T5Tokenizer = T5Tokenizer
    
    print("Transformers patching complete")

if __name__ == "__main__":
    patch_transformers()
    patch_t5_tokenizer()

add this file to the same folder with your gradio_app.py file.

then add

import fix_lazy_loading
fix_lazy_loading.patch_transformers()

this line below "import logger" in the gradio_app.py

now you can run

python gradio_app.py --enable_t23d