Gorilla Press版本Gorilla Press (ID: 845074)

Gorilla Press版本Gorilla Press (ID: 845074)

This Flux LyCoris was trained locally using SimpleTuner as an initial training test to see how to train poses. The dataset is comprised of only 26 images mainly with "gorilla press" being the only tag used. It took a few tries and there were some merges done with various epochs along the way, but I found 1e-4 to 7e-4 learning rates to be the most effective. It's not the most robust or versatile, but it gets the pose most of the time.

The training config for the final run:

{
"--resume_from_checkpoint": "latest",
"--data_backend_config": "config/multidatabackend.json",
"--aspect_bucket_rounding": 1,
"--seed": 42,
"--minimum_image_size": 0,
"--disable_benchmark": false,
"--output_dir": "output/models",
"--lora_type": "lycoris",
"--lycoris_config": "config/lycoris_config.json",
"--max_train_steps": 10000,
"--num_train_epochs": 0,
"--checkpointing_steps": 250,
"--checkpoints_total_limit": 20,
"--model_type": "lora",
"--pretrained_model_name_or_path": "black-forest-labs/FLUX.1-dev",
"--model_family": "flux",
"--train_batch_size": 1,
"--gradient_checkpointing": "true",
"--caption_strategy": "textfile",
"--caption_dropout_probability": 0.0,
"--resolution_type": "pixel_area",
"--resolution": 1024,
"--validation_seed": 42,
"--validation_steps": 250,
"--validation_resolution": "1024x1024",
"--validation_guidance": 3.5,
"--validation_guidance_rescale": "0.0",
"--validation_num_inference_steps": "20",
"--validation_prompt": "gorilla press",
"--mixed_precision": "bf16",
"--optimizer": "adamw_bf16",
"--snr_gamma": "2",
"--input_perturbation": ".1",
"--learning_rate": "7e-4",
"--lr_scheduler": "constant",
"--lr_warmup_steps": 100,
"--base_model_precision": "int8-quanto",
"--validation_torch_compile": "false"
}

描述:

This Flux LyCoris was trained locally using SimpleTuner as an initial training test to see how to train poses. The dataset is comprised of only 26 images mainly with "gorilla press" being the only tag used. It took a few tries and there were some merges done with various epochs along the way, but I found 1e-4 to 7e-4 learning rates to be the most effective. It's not the most robust or versatile, but it gets the pose most of the time.

训练词语: Gorilla Press

名称: gorilla_press_dataset.zip

大小 (KB): 40647

类型: Training Data

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

名称: Gorilla_Press_Flux.safetensors

大小 (KB): 106968

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

Gorilla Press

Gorilla Press

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