Upload 2 files

config.json

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+{"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"}}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9d00195114315091e8eb7b1aac571376a1aeceef58507868c2d62956bb586392
+size 171969416