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{
"model_type": "stable-diffusion",
"config": {
"name": "flux_train_replicate",
"process": [
{
"datasets": [
{
"cache_latents_to_disk": true,
"caption_dropout_rate": 0.05,
"caption_ext": "txt",
"folder_path": "input_images",
"resolution": [
512,
768,
1024
],
"shuffle_tokens": false
}
],
"device": "cuda:0",
"model": {
"is_flux": true,
"name_or_path": "black-forest-labs/FLUX.1-dev",
"quantize": true
},
"network": {
"linear": 16,
"linear_alpha": 16,
"type": "lora"
},
"sample": {
"guidance_scale": 4,
"height": 1024,
"neg": "",
"prompts": [
"a sign that says 'I LOVE PROMPTS!' in the style of [trigger]"
],
"sample_every": 250,
"sample_steps": 20,
"sampler": "flowmatch",
"seed": 42,
"walk_seed": true,
"width": 1024
},
"save": {
"dtype": "float16",
"max_step_saves_to_keep": 1,
"save_every": 1001
},
"train": {
"batch_size": 1,
"content_or_style": "balanced",
"dtype": "bf16",
"ema_config": {
"ema_decay": 0.99,
"use_ema": true
},
"gradient_accumulation_steps": 1,
"gradient_checkpointing": true,
"lr": 0.0004,
"noise_scheduler": "flowmatch",
"optimizer": "adamw8bit",
"steps": 1000,
"train_text_encoder": false,
"train_unet": true
},
"training_folder": "output",
"trigger_word": "TOK",
"type": "sd_trainer"
}
]
},
"job": "extension",
"meta": {
"name": "flux_train_replicate",
"version": "1.0"
}
}
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