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Update model_optimization_nodes.py
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@ -167,7 +167,7 @@ class DiffusionModelLoaderKJ(BaseLoaderKJ):
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def INPUT_TYPES(s):
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return {"required": {
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"model_name": (folder_paths.get_filename_list("diffusion_models"), {"tooltip": "The name of the checkpoint (model) to load."}),
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"weight_dtype": (["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2", "fp16", "fp16_fast", "bf16", "fp32"],),
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"weight_dtype": (["default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2", "fp16", "bf16", "fp32"],),
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"compute_dtype": (["default", "fp16", "bf16", "fp32"], {"default": "fp16", "tooltip": "The compute dtype to use for the model."}),
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"patch_cublaslinear": ("BOOLEAN", {"default": False, "tooltip": "Enable or disable the patching, won't take effect on already loaded models!"}),
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"sage_attention": (["disabled", "auto", "sageattn_qk_int8_pv_fp16_cuda", "sageattn_qk_int8_pv_fp16_triton", "sageattn_qk_int8_pv_fp8_cuda"], {"default": False, "tooltip": "Patch comfy attention to use sageattn."}),
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