Fi wonder if conflicting
Fyou are providing multiple values
Fuse interface
AWhat multiple values?
Fthose values you provide additional arguments
CThank you so much! But I ma getting the following error ## fine_tune.py: error: unrecognized arguments: --no_half_vae ## the following is the full training commad ====== :: ======= accelerate launch --num_cpu_threads_per_process=4 "/kaggle/working/kohya_ss/sd-scripts/fine_tune.py" --max_grad_norm=0.0 --no_half_vae --ddp_timeout=10000000 --ddp_gradient_as_bucket_view --bucket_no_upscale --bucket_reso_steps=64 --cache_latents --cache_latents_to_disk --dataset_repeats="40" --enable_bucket --min_bucket_reso=256 --max_bucket_reso=2048 --in_json="/meta_lat.json" --learning_rate="7e-07" --learning_rate_te="7e-07" --logging_dir="G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train\logs" --lr_scheduler="constant" --max_data_loader_n_workers="0" --resolution="768,768" --max_train_steps="26240" --mixed_precision="no" --optimizer_args scale_parameter=False relative_step=False warmup_init=False weight_decay=0.01 --optimizer_type="Adafactor" --output_dir="G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train" --output_name="tier_2_quality_speed" --pretrained_model_name_or_path="MonsterMMORPG/sd15_best_realism" --save_every_n_epochs="1" --save_model_as=safetensors --save_precision="float" --train_batch_size="1" --train_data_dir="/kaggle/input/test-all" --train_text_encoder --xformers
Fremove --no_half_vae
Fyou loaded dreambooth tab right?
CI was trying to fintune so loaded
CI am using using image captions to fintune , can you please point out if that is okay
CThank you again!
CDatasets: 800 images resolution 350by 450, topic: Various paintings,
AOoh onetrainer seems much better than kohya
AI did an export, how can I load those configs next time? I dont see import
CCan we use onetrainer on Kaggle or unpod of colab?
Fthat is why probably
Fdo dreambooth
Fdont use reg images
Fit will be same
CThanks!
Fon massed compute
Fhere instructions
FGitHub
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, R...
Fpreparing tutorial
ADr you prefer RealVisXL_V4.0.safetensors instead of sdxl base model?
A
Fit is optional
Fboth good
Ait crashed?
Fdont give vae
Fah
Fyou are not giving in accurate place
Fthey changed interfae
Fread carefully
Abut the paths are correct, no?
Fah one trainer
Fit doenst support that way
Fsupports only from hugging face
Fpath
AI removed vae and it seems to be working so far
FTesting OneTrainer masked Stable Diffusion XL (SDXL) training results + OneTrainer vs Kohya trainer results with 4 GPUs at the same time. Total 10 model is being tested with Automatic1111 x/y/z checkpoint comparison.
CI could see the youtube video for windows but for ubuntu in MassedCompute after updating according to the above reference starting the OneTrainer on Ubuntu, do we have to install all the same things same as in windows? Note: I have selected the same vms as given in the image. Thank you!
Fi am working on video
Fbut if you follow readme
Fyou can do i think
CSure, May I know probable time of the video being published?
Fhopefully this week
Fi am doing final tests
Awoooo! custom train hopefully it works this time haha
MThis is amazing