Comments (1)
12:43:13-616120 INFO Start training Dreambooth...
12:43:13-622362 INFO Validating lr scheduler arguments...
12:43:13-625454 INFO Validating optimizer arguments...
12:43:13-630413 INFO Validating /workspace/kohya_ss/outputs/log existence
and writability... SUCCESS
12:43:13-633533 INFO Validating /workspace/kohya_ss/outputs/model existence
and writability... SUCCESS
12:43:13-635718 INFO Validating runwayml/stable-diffusion-v1-5 existence...
SKIPPING: huggingface.co model
12:43:13-639497 INFO Validating /workspace/kohya_ss/outputs/img existence...
SUCCESS
12:43:13-644170 INFO Folder 40_nnjl aesthetic style: 40 repeats found
12:43:13-647465 INFO Folder 40_nnjl aesthetic style: 0 images found
12:43:13-649391 INFO Folder 40_nnjl aesthetic style: 0 * 40 = 0 steps
12:43:13-651204 INFO Regulatization factor: 1
12:43:13-654225 INFO Total steps: 0
12:43:13-656585 INFO Train batch size: 1
12:43:13-658860 INFO Gradient accumulation steps: 1
12:43:13-661399 INFO Epoch: 10
12:43:13-664664 INFO Max train steps: 1600
12:43:13-666684 INFO lr_warmup_steps = 0
12:43:13-683022 WARNING Here is the trainer command as a reference. It will not
be executed:
12:43:13-686054 INFO /workspace/kohya_ss/venv/bin/accelerate launch
--dynamo_backend no --dynamo_mode default
--mixed_precision fp16 --num_processes 1 --num_machines
1 --num_cpu_threads_per_process 2
/workspace/kohya_ss/sd-scripts/train_db.py
--config_file
/workspace/kohya_ss/outputs/model/config_dreambooth-202
40722-124313.toml
12:43:13-689859 INFO Showing toml config file:
/workspace/kohya_ss/outputs/model/config_dreambooth-202
40722-124313.toml
12:43:13-696744 INFO bucket_no_upscale = true
bucket_reso_steps = 64
cache_latents = true
cache_latents_to_disk = true
caption_extension = ".txt"
clip_skip = 1
dynamo_backend = "no"
enable_bucket = true
epoch = 10
gradient_accumulation_steps = 1
gradient_checkpointing = true
huber_c = 0.1
huber_schedule = "snr"
learning_rate = 0.0003
learning_rate_te = 1e-5
logging_dir = "/workspace/kohya_ss/outputs/log"
loss_type = "l2"
lr_scheduler = "constant"
lr_scheduler_args = []
lr_scheduler_num_cycles = 1
lr_scheduler_power = 1
max_bucket_reso = 2048
max_data_loader_n_workers = 0
max_timestep = 1000
max_token_length = 75
max_train_steps = 1600
min_bucket_reso = 256
mixed_precision = "fp16"
multires_noise_discount = 0.3
noise_offset_type = "Original"
optimizer_args = [ "scale_parameter=False",
"relative_step=False", "warmup_init=False",]
optimizer_type = "Adafactor"
output_dir = "/workspace/kohya_ss/outputs/model"
output_name = "nnjl-sd15-new-model"
pretrained_model_name_or_path =
"runwayml/stable-diffusion-v1-5"
prior_loss_weight = 1
resolution = "1024,1024"
sample_prompts =
"/workspace/kohya_ss/outputs/model/prompt.txt"
sample_sampler = "euler_a"
save_every_n_epochs = 1
save_model_as = "safetensors"
save_precision = "fp16"
train_batch_size = 1
train_data_dir = "/workspace/kohya_ss/outputs/img"
xformers = true
12:43:13-706015 INFO end of toml config file:
/workspace/kohya_ss/outputs/model/config_dreambooth-202
40722-124313.toml
That is the training command
from kohya_ss.
Related Issues (20)
- Could anyone help me qq?
- dreambooth lora extraction = bad results.
- Full FP16 Dreambooth for SDXL does not work HOT 2
- Missing keys & size mismatch when merging LORAs
- Blue screen "video scheduler internal error" when using SD 3 branch with SD 3 training (normal branch XL works fine) HOT 1
- SD3 Gui Sampling + lora extraction HOT 1
- Request to add controlnet fine-tuning
- Network dropout and samples
- RuntimeError: The size of tensor a (8) must match the size of tensor b (2744) at non-singleton dimension 1
- Security vulnerabilties: gradio and onnx HOT 2
- request to add weighted captions for SDXL HOT 2
- Runpod does not work.
- WD14 captioning in Runpod not working
- No module named 'xformers' on AMD rx7800XT [fedora40]
- AssertionError Related to Bucket Info in Fine-Tuning Script
- Training [LoRA] has ended, returned non-zero exit status 1 HOT 2
- ChainedScheduler and SequentialLR?
- SD3 into main branch HOT 1
- requirements_linux.sh should have one line per requirement HOT 2
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from kohya_ss.