Trained for 57 epochs and 10000 steps.

Trained with datasets ['text-embed-cache', 'vnlwn_ice_cream-512', 'vnlwn_ice_cream-768', 'vnlwn_ice_cream-1024', 'gstfwstmn_chunky_beer_glasses-512', 'gstfwstmn_chunky_beer_glasses-768', 'gstfwstmn_chunky_candle_holder-512', 'gstfwstmn_chunky_candle_holder-768', 'gstfwstmn_chunky_candle_holder-1024', 'gstfwstmn_chunky_cup-512', 'gstfwstmn_chunky_cup-768', 'gstfwstmn_chunky_cup-1024', 'gstfwstmn_chunky_desk-512', 'gstfwstmn_chunky_desk-768', 'gstfwstmn_chunky_desk-1024', 'gstfwstmn_chunky_wine_glass-512', 'gstfwstmn_chunky_wine_glass-768', 'gstfwstmn_chunky_wine_glass-1024', 'pttknt_blonde_child-512', 'pttknt_blonde_child-768', 'wmnmrrrd_style-512', 'wmnmrrrd_style-768', 'wmnmrrrd_style-1024', 'dts_photography_style-512', 'dts_photography_style-768', 'dts_photography_style-1024', 'jmmymrbl_cutup_photography_style-512', 'jmmymrbl_cutup_photography_style-768', 'jmmymrbl_dunes_photography_style-512', 'jmmymrbl_dunes_photography_style-768', 'jmmymrbl_earthly_delights_photography_style-512', 'jmmymrbl_earthly_delights_photography_style-768', 'jmmymrbl_earthly_delights_photography_style-1024', 'jmmymrbl_general_photography_style-512', 'jmmymrbl_general_photography_style-768', 'ktyshyn_style-512', 'ktyshyn_style-768', 'ktyshyn_style-1024', 'lcvntr_photography_style-512', 'lcvntr_photography_style-768', 'lcvntr_photography_style-1024', 'lrltnsky_photography_style-512', 'mddgrr_style-512', 'mddgrr_style-768', 'mddgrr_style-1024', 'mrtnprr_style_photography_style-512', 'mrtnprr_style_photography_style-768', 'mrtnprr_style_photography_style-1024', 'wlfgngtllmns_photography_style-512', 'wlfgngtllmns_photography_style-768', 'wlfgngtllmns_photography_style-1024']
Learning rate 0.0001, batch size 2, and 1 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'trailing' timestep spacing.
Base model: FLUX.1-dev
VAE: None

pytorch_lora_weights.safetensors

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