appliedintelligencelab

name,prompt,negative_prompt,
____*Negative Prompts Only____,,,,
Default_Negative,,"canvas frame, (high contrast:1.2), (over saturated:1.2), (glossy:1.1), cartoon, 3d, ((disfigured)), ((bad art)), ((b&w)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, 3d render",
Default_Negative (sfw),,"NSFW, Cleavage, Pubic Hair, Nudity, Naked, Au naturel, Watermark, Text, censored, deformed, bad anatomy, disfigured, poorly drawn face, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, disconnected head, malformed hands, long neck, mutated hands and fingers, bad hands, missing fingers, cropped, worst quality, low quality, mutation, poorly drawn, huge calf, bad hands, fuse

appliedintelligencelab

appliedintelligencelab

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  "nodes": [
    {
      "id": 19,
      "type": "SaveImage",
      "pos": [
        1282.60009765625,
        108

appliedintelligencelab

{
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  "last_link_id": 63,
  "nodes": [
    {
      "id": 6,
      "type": "CLIPTextEncode",
      "pos": [
        -54,
        37

appliedintelligencelab

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  "last_link_id": 180,
  "nodes": [
    {
      "id": 59,
      "type": "Reroute",
      "pos": [
        -150.35178124999982,
        644.4360633544919

appliedintelligencelab

@echo off
::: ndel - Deletes every nth file matching the spec
::: syntax: ndel.bat FILESPEC [skipcount] [sortorder]
:::           FILESPEC  - Files to be searched through
:::           skipcount - number of files to skip (optional - default 3)
:::           sortorder - File order (see: DIR for options - default N (name))

:: With no arguments show the above usage text
if "%~1"=="" findstr "^:::" "%~f0"&GOTO:EOF
set find=%1

appliedintelligencelab

$fullPath = "C:\Users\appli\Apps\stable-diffusion-webui\webui.py"

$path = Split-Path $fullPath -Parent
$file = Split-Path $fullPath -leaf

$Env:COMMANDLINE_ARGS = "--xformers --autolaunch --no-half-vae"
$Env:CUDA_VISIBLE_DEVICES = "0"

cd "$path"
.\venv\Scripts\activate

appliedintelligencelab

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    {
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      "type": "PrimitiveNode",
      "pos": [
        1145,
        469

appliedintelligencelab

accelerate launch --mixed_precision bf16 --num_cpu_threads_per_process 1 flux_train_network.py --pretrained_model_name_or_path /home/hal/assets/models/unet/flux1-dev.sft --clip_l /home/hal/assets/models/clip/clip_l.safetensors --t5xxl /home/hal/assets/models/clip/t5xxl_fp16.safetensors --ae /home/hal/assets/models/vae/ae.sft --cache_latents_to_disk --save_model_as safetensors --sdpa --persistent_data_loader_workers --max_data_loader_n_workers 2 --seed 42 --gradient_checkpointing --mixed_precision bf16 --save_precision bf16 --network_module networks.lora_flux --network_dim 4 --optimizer_type adamw8bit --learning_rate 1e-4 --network_train_unet_only --cache_text_encoder_outputs --cache_text_encoder_outputs_to_disk --fp8_base --highvram --max_train_epochs 16 --save_every_n_epochs 4 --dataset_config dataset.toml --output_dir /home/hal/assets/training-output/hnia --output_name flux-lora-hnia --timestep_sampling sigmoid --model_prediction_type raw --guidance_scale 1.0 --loss_type l2 --optimizer_type adafactor --opti

appliedintelligencelab

[general]
shuffle_caption = false
caption_extension = '.txt'
keep_tokens = 1

# This is a DreamBooth-style dataset
[[datasets]]
resolution = 512
batch_size = 1
keep_tokens = 1