diff --git a/nodes.py b/nodes.py index f962237..80325c9 100644 --- a/nodes.py +++ b/nodes.py @@ -268,7 +268,7 @@ class InitFluxLoRATraining: "learning_rate": ("FLOAT", {"default": 4e-4, "min": 0.0, "max": 10.0, "step": 0.000001, "tooltip": "learning rate"}), #"unet_lr": ("FLOAT", {"default": 1e-4, "min": 0.0, "max": 10.0, "step": 0.00001, "tooltip": "unet learning rate"}), #"max_train_epochs": ("INT", {"default": 4, "min": 1, "max": 1000, "step": 1, "tooltip": "max number of training epochs"}), - "max_train_steps": ("INT", {"default": 1500, "min": 1, "max": 10000, "step": 1, "tooltip": "max number of training steps"}), + "max_train_steps": ("INT", {"default": 1500, "min": 1, "max": 100000, "step": 1, "tooltip": "max number of training steps"}), #"network_train_unet_only": ("BOOLEAN", {"default": True, "tooltip": "wheter to train the text encoder"}), #"text_encoder_lr": ("FLOAT", {"default": 0, "min": 0.0, "max": 10.0, "step": 0.00001, "tooltip": "text encoder learning rate"}), "apply_t5_attn_mask": ("BOOLEAN", {"default": True, "tooltip": "apply t5 attention mask"}), @@ -431,7 +431,7 @@ class InitFluxTraining: "output_name": ("STRING", {"default": "flux", "multiline": False}), "output_dir": ("STRING", {"default": "flux_trainer_output", "multiline": False, "tooltip": "output directory, root is ComfyUI folder"}), "learning_rate": ("FLOAT", {"default": 4e-6, "min": 0.0, "max": 10.0, "step": 0.000001, "tooltip": "learning rate"}), - "max_train_steps": ("INT", {"default": 1500, "min": 1, "max": 10000, "step": 1, "tooltip": "max number of training steps"}), + "max_train_steps": ("INT", {"default": 1500, "min": 1, "max": 100000, "step": 1, "tooltip": "max number of training steps"}), "apply_t5_attn_mask": ("BOOLEAN", {"default": True, "tooltip": "apply t5 attention mask"}), "t5xxl_max_token_length": ("INT", {"default": 512, "min": 64, "max": 4096, "step": 8, "tooltip": "dev uses 512, schnell 256"}), "cache_latents": (["disk", "memory", "disabled"], {"tooltip": "caches text encoder outputs"}),