path is working if you mean vae he said fixed
path is working if you mean vae he said fixed
Ftriton i didnt test
Dcan anyone reccomend ways to get sam detectors in comfy to recognize non human objects?
Dthere is a paper about a zero shot sam detection but cant find anything ported to comfy , being able to load an image to guide the sam detection for masking would be awesome
RIl just not sure how vae is used in training. Never heard anyone talk about it in training
RIs it beneficial for training? With which vae model
Fno you can ignore thinking it
Fit will use embedded vae
RRight
A
AWhat did I do wrong
Fthis is a bad dataset
Fyour config is also inaccurate not the one shared on patreon
KCan models be trained without text-file with OneTrainer?
Afixed this part
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