Update nodes.py
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@@ -211,7 +211,7 @@ class InitFluxLoRATraining:
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"output_dir": ("STRING", {"default": "flux_trainer_output", "multiline": False}),
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"network_dim": ("INT", {"default": 4, "min": 1, "max": 256, "step": 1, "tooltip": "network dim"}),
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"network_alpha": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 256.0, "step": 0.01, "tooltip": "network alpha"}),
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"learning_rate": ("FLOAT", {"default": 4e-4, "min": 0.0, "max": 10.0, "step": 0.00001, "tooltip": "learning rate"}),
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"learning_rate": ("FLOAT", {"default": 4e-4, "min": 0.0, "max": 10.0, "step": 0.000001, "tooltip": "learning rate"}),
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#"unet_lr": ("FLOAT", {"default": 1e-4, "min": 0.0, "max": 10.0, "step": 0.00001, "tooltip": "unet learning rate"}),
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#"max_train_epochs": ("INT", {"default": 4, "min": 1, "max": 1000, "step": 1, "tooltip": "max number of training epochs"}),
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"max_train_steps": ("INT", {"default": 1500, "min": 1, "max": 10000, "step": 1, "tooltip": "max number of training steps"}),
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@@ -366,7 +366,7 @@ class InitFluxTraining:
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"optimizer_settings": ("ARGS",),
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"output_name": ("STRING", {"default": "flux", "multiline": False}),
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"output_dir": ("STRING", {"default": "flux_trainer_output", "multiline": False, "tooltip": "output directory, root is ComfyUI folder"}),
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"learning_rate": ("FLOAT", {"default": 5e-5, "min": 0.0, "max": 10.0, "step": 0.00001, "tooltip": "learning rate"}),
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"learning_rate": ("FLOAT", {"default": 4e-6, "min": 0.0, "max": 10.0, "step": 0.000001, "tooltip": "learning rate"}),
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"max_train_steps": ("INT", {"default": 1500, "min": 1, "max": 10000, "step": 1, "tooltip": "max number of training steps"}),
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"apply_t5_attn_mask": ("BOOLEAN", {"default": True, "tooltip": "apply t5 attention mask"}),
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"t5xxl_max_token_length": ("INT", {"default": 512, "min": 64, "max": 4096, "step": 8, "tooltip": "dev uses 512, schnell 256"}),
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