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cleanup: remove redundant single-file fp8 (kept sharded -fp8/ variant + bf16 dit.safetensors)

add: model card README (fp8 release notes, quantization details, load examples)

add: wan encoders fp8: wan-encoders-fp8/umt5_xxl_e4m3fn_scaled.safetensors

add: wan encoders fp8: wan-encoders-fp8/tokenizer/umt5-xxl/tokenizer_config.json

add: wan encoders fp8: wan-encoders-fp8/tokenizer/umt5-xxl/tokenizer.json

add: wan encoders fp8: wan-encoders-fp8/tokenizer/umt5-xxl/spiece.model

add: wan encoders fp8: wan-encoders-fp8/tokenizer/umt5-xxl/special_tokens_map.json

add: wan encoders fp8: wan-encoders-fp8/Wan2.1_VAE.bf16.safetensors

add: 720p49_step=3000 fp8: 720p49_step=3000-fp8/diffusion_pytorch_model.safetensors.index.json

add: 720p49_step=3000 fp8: 720p49_step=3000-fp8/diffusion_pytorch_model-00001-of-00001.safetensors

add: 720p49_step=3000 fp8: 720p49_step=3000-fp8/config.yaml

add: 384p49_step=30000 fp8: 384p49_step=30000-fp8/diffusion_pytorch_model.safetensors.index.json

add: 384p49_step=30000 fp8: 384p49_step=30000-fp8/diffusion_pytorch_model-00001-of-00001.safetensors

add: 384p49_step=30000 fp8: 384p49_step=30000-fp8/config.yaml

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