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| # This configuration requires 48GB of VRAM or more to operate | |
| job: extension | |
| config: | |
| # this name will be the folder and filename name | |
| name: "my_first_flex_finetune_v1" | |
| 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: 1000 | |
| 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" | |
| save: | |
| dtype: bf16 # precision to save | |
| save_every: 250 # save every this many steps | |
| max_step_saves_to_keep: 2 # how many intermittent saves to keep | |
| save_format: 'diffusers' # 'diffusers' | |
| 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: "/path/to/images/folder" | |
| 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 ] # flex enjoys multiple resolutions | |
| train: | |
| batch_size: 1 | |
| # IMPORTANT! For Flex, you must bypass the guidance embedder during training | |
| bypass_guidance_embedding: true | |
| # can be 'sigmoid', 'linear', or 'lognorm_blend' | |
| timestep_type: 'sigmoid' | |
| steps: 2000 # total number of steps to train 500 - 4000 is a good range | |
| gradient_accumulation: 1 | |
| train_unet: true | |
| train_text_encoder: false # probably won't work with flex | |
| gradient_checkpointing: true # need the on unless you have a ton of vram | |
| noise_scheduler: "flowmatch" # for training only | |
| optimizer: "adafactor" | |
| lr: 3e-5 | |
| # Paramiter swapping can reduce vram requirements. Set factor from 1.0 to 0.0. | |
| # 0.1 is 10% of paramiters active at easc step. Only works with adafactor | |
| # do_paramiter_swapping: true | |
| # paramiter_swapping_factor: 0.9 | |
| # uncomment this to skip the pre training sample | |
| # skip_first_sample: true | |
| # uncomment to completely disable sampling | |
| # disable_sampling: true | |
| # ema will smooth out learning, but could slow it down. Recommended to leave on if you have the vram | |
| ema_config: | |
| use_ema: true | |
| ema_decay: 0.99 | |
| # will probably need this if gpu supports it for flex, other dtypes may not work correctly | |
| dtype: bf16 | |
| model: | |
| # huggingface model name or path | |
| name_or_path: "ostris/Flex.1-alpha" | |
| is_flux: true # flex is flux architecture | |
| # full finetuning quantized models is a crapshoot and results in subpar outputs | |
| # quantize: true | |
| # you can quantize just the T5 text encoder here to save vram | |
| quantize_te: true | |
| # only train the transformer blocks | |
| only_if_contains: | |
| - "transformer.transformer_blocks." | |
| - "transformer.single_transformer_blocks." | |
| sample: | |
| sampler: "flowmatch" # must match train.noise_scheduler | |
| sample_every: 250 # 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!'"\ | |
| - "woman with red hair, playing chess at the park, bomb going off in the background" | |
| - "a woman holding a coffee cup, in a beanie, sitting at a cafe" | |
| - "a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini" | |
| - "a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background" | |
| - "a bear building a log cabin in the snow covered mountains" | |
| - "woman playing the guitar, on stage, singing a song, laser lights, punk rocker" | |
| - "hipster man with a beard, building a chair, in a wood shop" | |
| - "photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop" | |
| - "a man holding a sign that says, 'this is a sign'" | |
| - "a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle" | |
| neg: "" # not used on flex | |
| seed: 42 | |
| walk_seed: true | |
| guidance_scale: 4 | |
| sample_steps: 25 | |
| # you can add any additional meta info here. [name] is replaced with config name at top | |
| meta: | |
| name: "[name]" | |
| version: '1.0' | |