| config: | |
| name: Dark_Industrial | |
| process: | |
| - datasets: | |
| - cache_latents_to_disk: true | |
| caption_dropout_rate: 0.2 | |
| caption_ext: txt | |
| folder_path: /root/lorahub/Dark_Industrial/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: 64 | |
| linear_alpha: 64 | |
| transformer_only: true | |
| type: lora | |
| performance_log_every: 500 | |
| sample: | |
| guidance_scale: 3.5 | |
| height: 896 | |
| neg: '' | |
| prompts: | |
| - '[trigger]. A giant dark underground industrial spacious rounded location | |
| composed of concrete and rusted steel, filled with water with a smooth reflective | |
| surface and a slight haze.' | |
| - '[trigger]. In this dark location, corridors, walls, openings, floor and ceiling | |
| are built only of thick rusty expanded metal mesh and rusty steel angles. | |
| Behind expanded metal meshes a multilayer structure of the location is visible. | |
| Through the openings, rusty columns and the meshes of another floor are visible. | |
| Rare dim industrial lamps could be seen on the walls.' | |
| - '[trigger]. Living room with sofa and TV, but is underground and has a industrial | |
| feel. Bent rusty steel iron, peeling crumbling concrete walls, industrial | |
| trash, darkness, very dim industrial lamp, bent rebar is embedded in the walls. | |
| Photo.' | |
| - '[trigger], IMG_1025.HEIC RAW photograph: sewer tunnel with water, rebar sticking | |
| out of the walls.' | |
| - '[trigger]. Photo of a statue of a man made only of bent rusty steel rebar. | |
| It''s dark.' | |
| - New Year's tree in an empty apartment, garlands, photo. | |
| sample_every: 500 | |
| sample_steps: 25 | |
| sampler: flowmatch | |
| seed: 1000 | |
| walk_seed: true | |
| width: 1152 | |
| save: | |
| dtype: float16 | |
| max_step_saves_to_keep: 3 | |
| save_every: 500 | |
| save_format: diffusers | |
| train: | |
| batch_size: 2 | |
| 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: 0.0003 | |
| 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: IndustrialC0re | |
| type: sd_trainer | |
| job: extension | |
| meta: | |
| description: v1 | |