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FLUX Trainer Workflow

22

544

14

Updated: Feb 19, 2025

toolfluxflux trainer

Type

Workflows

Stats

423

0

Reviews

Published

Feb 19, 2025

Base Model

Flux.1 S

Hash

AutoV2
4006E13514

Training FLUX in ComfyUI. A brief workflow, didn't add regularization image.

v2.0 release note:
Fix Flux-Trainer VisualizeLoss can't record global loss bug. v1.0 workflow just show current loop loss and can't auto flash loss data, so it always show first loop loss.

v2.0 workflow fix this problem. But you should modify Flux-Trainer code.

class VisualizeLoss:
    @classmethod

    ...
    
    # change output types
    RETURN_TYPES = ("NETWORKTRAINER", "IMAGE", "FLOAT",)
    RETURN_NAMES = ("network_trainer", "plot", "loss_list",)
    FUNCTION = "draw"
    CATEGORY = "FluxTrainer"

    def draw(self, network_trainer, window_size, plot_style, normalize_y, width, height, log_scale):
        ...
        
        # add code
        training_loop = network_trainer["training_loop"]
        network_trainer = network_trainer["network_trainer"]

        ...
        
        # It will make loss list become a list of all the same constants, I don't know how to modify it, temporarily shut down it.
        # 
        # if window_size > 0:
        #     loss_values = moving_average(loss_values, window_size)

        ...
        
       
        trainer = {
            "network_trainer": network_trainer,
            "training_loop": training_loop,
        }
        
        # change output 
        return (trainer, image_tensor, loss_values,)