config: name: dstyl3xl process: - datasets: - cache_latents_to_disk: true caption_dropout_rate: 0.2 caption_ext: txt folder_path: /root/lorahub/dstyl3xl/dataset resolution: - 512 - 768 - 1024 shuffle_tokens: false token_dropout_rate: 0.01 device: cuda:0 model: is_flux: true name_or_path: black-forest-labs/FLUX.1-dev quantize: true text_encoder_bits: 8 network: linear: 42 linear_alpha: 42 transformer_only: true type: lora performance_log_every: 500 sample: height: 1024 neg: '' prompts: - Pilot flying a hot air balloon shaped like a teapot, pouring rain on dry lands below [trigger] - A gigantic clockwork heart powering a mechanical forest, with gears and springs as leaves and branches [trigger] - Scientist with wild hair examining a glowing crystal, bioluminescent plants in the laboratory [trigger] - A time-traveling DeLorean car emerging from a swirling portal in the middle of a medieval village [trigger] - A group of friendly aliens having a picnic on the moon, Earth visible in the background [trigger] - A Victorian-era robot having a tea party with stuffed animals in a sunlit garden [trigger] sample_every: 500 sample_steps: 25 sampler: flowmatch seed: 42 walk_seed: true width: 1024 save: dtype: float16 max_step_saves_to_keep: 3 save_every: 500 save_format: diffusers train: batch_size: 1 dtype: bf16 ema_config: ema_decay: 0.99 use_ema: true gradient_accumulation_steps: 1 gradient_checkpointing: true linear_timesteps: true loss_type: mse lr: 0.0002 noise_scheduler: flowmatch optimizer: adamw8bit reg_weight: 1.0 steps: 3000 target_noise_multiplier: 1.0 train_text_encoder: false train_unet: true training_folder: /root/lorahub trigger_word: in the style of dstyl3xl type: sd_trainer job: extension meta: description: Trained on a set of MidJourney v6 images made using a fixed blend of srefs and image prompts, going for a vivid 70's illustration style