Upload config.json
Browse files- config.json +79 -0
config.json
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{
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"config": {
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"name": "flux_train_replicate",
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"process": [
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{
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"datasets": [
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{
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"cache_latents_to_disk": true,
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"caption_dropout_rate": 0.05,
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"caption_ext": "txt",
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"folder_path": "input_images",
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"resolution": [
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512,
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768,
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1024
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],
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"shuffle_tokens": false
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}
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],
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"device": "cuda:0",
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"model": {
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"is_flux": true,
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"name_or_path": "black-forest-labs/FLUX.1-dev",
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"quantize": true
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},
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"network": {
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"linear": 16,
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"linear_alpha": 16,
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"type": "lora"
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},
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"sample": {
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"guidance_scale": 4,
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"height": 1024,
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"neg": "",
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"prompts": [
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"a sign that says 'I LOVE PROMPTS!' in the style of [trigger]"
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],
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"sample_every": 250,
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"sample_steps": 20,
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"sampler": "flowmatch",
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"seed": 42,
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"walk_seed": true,
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"width": 1024
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},
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"save": {
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"dtype": "float16",
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"max_step_saves_to_keep": 1,
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"save_every": 1001
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},
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"train": {
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"batch_size": 1,
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"content_or_style": "balanced",
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"dtype": "bf16",
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"ema_config": {
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"ema_decay": 0.99,
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"use_ema": true
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},
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"gradient_accumulation_steps": 1,
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"gradient_checkpointing": true,
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"lr": 0.0004,
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"noise_scheduler": "flowmatch",
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"optimizer": "adamw8bit",
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"steps": 1000,
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"train_text_encoder": false,
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"train_unet": true
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},
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"training_folder": "output",
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"trigger_word": "TOK",
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"type": "sd_trainer"
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}
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]
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},
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"job": "extension",
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"meta": {
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"name": "flux_train_replicate",
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"version": "1.0"
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},
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"model_type": "gpt2"
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}
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