universal method or class to load any model locally

90% of the time custom models including gguf files fail to load due to limited availability ".from single file" in all class or config mismatch issues

please provide any class even if it can be made in community examples, just a default class to load all components

lets just say if we use automodel or xyz class
for safetensors
pipe= automodel.from_single_file(model_path, use_safetensors=True, cache_dir=cache_dir, custom_pipeline="", torch_dtype=TORCH_DTYPE, local_files_only=True,)
or for gguf
pipe=automodel.from_single_file(model_path, quantization_config=GGUFQuantizationConfig(compute_dtype=torch.bfloat16), torch_dtype=torch.float16, low_cpu_mem_usage=True,)
then dump
components=pipe.components

we can at least get a decent loading in case of aio safetensors and gguf along with optimizations
loading sdxl single aio safetensors or gguf
pipe=StableDiffusionXLPipeline(components)
pipe=StableDiffusionXLImg2ImgPipeline(components)
loading wan single aio safetensors or gguf
pipe=WanPipeline(components)
can be used further more for other models as well flux acestep all other .

if the feature is there please give a hint . it can solve 90% of model loading problems
Thanks in advance

Start by reviewing the proposed AutoModel.from_single_file usage, including the safetensors and GGUF examples, and compare it with the named StableDiffusionXLPipeline, WanPipeline, and related pipeline classes. Done would require a clearly defined loading interface that works across the model formats and pipelines described, with the component handoff demonstrated.