SABA / config.json
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Update config.json
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{
"job": "custom_job",
"config": {
"name": "flux_train_replicate",
"process": [
{
"type": "custom_sd_trainer",
"training_folder": "output",
"device": "cuda:0",
"trigger_word": "SABA",
"network": {
"type": "lora",
"linear": 18,
"linear_alpha": 18
},
"save": {
"dtype": "float16",
"save_every": 1501,
"max_step_saves_to_keep": 1
},
"datasets": [
{
"folder_path": "input_images",
"caption_ext": "txt",
"caption_dropout_rate": 0.05,
"shuffle_tokens": false,
"cache_latents_to_disk": true,
"resolution": [
512,
768,
1024
]
}
],
"train": {
"batch_size": 1,
"steps": 1500,
"gradient_accumulation_steps": 1,
"train_unet": true,
"train_text_encoder": false,
"content_or_style": "balanced",
"gradient_checkpointing": true,
"noise_scheduler": "flowmatch",
"optimizer": "adamw8bit",
"lr": 0.0004,
"ema_config": {
"use_ema": true,
"ema_decay": 0.99
},
"dtype": "bf16"
},
"model": {
"name_or_path": "FLUX.1-schnell",
"is_flux": true,
"quantize": true
},
"sample": {
"sampler": "flowmatch",
"sample_every": 1501,
"width": 512,
"height": 1024,
"prompts": [],
"neg": "",
"seed": 42,
"walk_seed": true,
"guidance_scale": 4,
"sample_steps": 30
}
}
]
},
"meta": {
"name": "flux_train_replicate",
"version": "1.0"
}
}