config_4views.yaml

---
job: extension
config:
  # this name will be the folder and filename name
  name: "4views"
  process:
    - type: 'sd_trainer'
      # root folder to save training sessions/samples/weights
      training_folder: "output"
      # uncomment to see performance stats in the terminal every N steps
      performance_log_every: 100
      device: cuda:0
      # if a trigger word is specified, it will be added to captions of training data if it does not already exist
      # alternatively, in your captions you can add [trigger] and it will be replaced with the trigger word
#      trigger_word: "p3r5on"
      network:
        type: "lora"
        linear: 16
        linear_alpha: 16
      save:
        dtype: float16 # precision to save
        save_every: 250 # save every this many steps
        max_step_saves_to_keep: 4 # how many intermittent saves to keep
        push_to_hub: false #change this to True to push your trained model to Hugging Face.
        # You can either set up a HF_TOKEN env variable or you'll be prompted to log-in         
#       hf_repo_id: your-username/your-model-slug
#       hf_private: true #whether the repo is private or public
      datasets:
        # datasets are a folder of images. captions need to be txt files with the same name as the image
        # for instance image2.jpg and image2.txt. Only jpg, jpeg, and png are supported currently
        # images will automatically be resized and bucketed into the resolution specified
        # on windows, escape back slashes with another backslash so
        # "C:\\path\\to\\images\\folder"
        - folder_path: "data/composites_4view_grid"
          caption_ext: "txt"
          caption_dropout_rate: 0.05  # will drop out the caption 5% of time
          shuffle_tokens: false  # shuffle caption order, split by commas
          cache_latents_to_disk: true  # leave this true unless you know what you're doing
          resolution: [ 512, 768, 1024 ]  # flux enjoys multiple resolutions
      logging:
        use_wandb: true  # set to true to log to wandb
        project_name: "incontext-lora"  # project name for wandb
        run_name: ""  # run name for wandb
      train:
        batch_size: 4 # batch size per gpu, flux is very memory intensive so this is usually 1
        # if you have multiple GPUs, this is the total batch size
        steps: 500  # total number of steps to train 500 - 4000 is a good range
        gradient_accumulation_steps: 4
        train_unet: true
        train_text_encoder: false  # probably won't work with flux
        gradient_checkpointing: true  # need the on unless you have a ton of vram
        noise_scheduler: "flowmatch" # for training only
        optimizer: "adamw8bit"
        lr: 1e-4
        # uncomment this to skip the pre training sample
#        skip_first_sample: true
        # uncomment to completely disable sampling
#        disable_sampling: true
        # uncomment to use new vell curved weighting. Experimental but may produce better results
#        linear_timesteps: true

        # ema will smooth out learning, but could slow it down. Recommended to leave on.
        ema_config:
          use_ema: true
          ema_decay: 0.99

        # will probably need this if gpu supports it for flux, other dtypes may not work correctly
        dtype: bf16
      model:
        # huggingface model name or path
        name_or_path: "black-forest-labs/FLUX.1-dev"
        is_flux: true
        quantize: true  # run 8bit mixed precision
#        low_vram: true  # uncomment this if the GPU is connected to your monitors. It will use less vram to quantize, but is slower.
      sample:
        sampler: "flowmatch" # must match train.noise_scheduler
        sample_every: 32 # sample every this many steps
        width: 1024
        height: 1024
        prompts:
          # you can add [trigger] to the prompts here and it will be replaced with the trigger word
#          - "[trigger] holding a sign that says 'I LOVE PROMPTS!'"\
          - "[trigger] `[FOUR-VIEWS]`"
          - "[FOUR-VIEWS] This set of four images show different angles of a light blue bag with a dragon pattern and gold chains; [TOP-LEFT] This photo shows a side view of the bag leaning against a wall; [TOP-RIGHT] This photo shows another side view of the bag; [BOTTOM-LEFT] This photo shows a front view of the bag; [BOTTOM-RIGHT] This photo shows a back view of the bag."  
          - "[FOUR-VIEWS] This set of four images show a black tote canvas bag with a funny cow design; [TOP-LEFT] This photo shows a side view of the tote bag; [TOP-RIGHT] This photo shows a high-angle view of the tote bag; [BOTTOM-LEFT] This photo shows a front view of the tote bag; [BOTTOM-RIGHT] This photo shows another side view of the tote bag."
        neg: ""  # not used on flux
        seed: 42
        walk_seed: true
        guidance_scale: 3.5
        sample_steps: 20
# you can add any additional meta info here. [name] is replaced with config name at top
meta:
  name: "4views"
  version: '1.0'