Also at https://civitai.com/models/119351?modelVersionId=129641 Trained with the technique described at https://civitai.com/models/117518/headshot-sdxl-lora-trained-on-sd15-output With the https://ntcai.xyz/conceptmod/trip/ trip lora. Uses https://civitai.com/models/69651/sdprompt-prompts-from-a-huggingface-dataset wildcards. dataset has 1450 samples trained for 160,000 steps Training command CUDA_VISIBLE_DEVICES=0 accelerate launch --num_cpu_threads_per_process=2 "sdxl_train_network.py" --enable_bucket --pretrained_model_name_or_path="/ml2/trained/ComfyUI/models/checkpoints/stable-diffusion-xl-base-1.0/sd_xl_base_1.0.safetensors" --train_data_dir="/ml2/trained/sd-scripts/data/psychedelic_trip" --resolution="1024,1024" --output_dir="/ml2/trained/ComfyUI/models/loras/Lora/sdxl" --logging_dir="./logs" --save_model_as=safetensors --output_name="trip" --network_alpha="1" --network_dim=32 --network_module=networks.lora --text_encoder_lr=0.0008 --unet_lr=0.0008 --lr_scheduler="constant" --train_batch_size="16" --max_train_steps="10000" --mixed_precision="bf16" --save_every_n_epochs="1" --save_precision="bf16" --caption_extension=".txt" --optimizer_type="Adafactor" --optimizer_args scale_parameter=False relative_step=False warmup_init=False --max_data_loader_n_workers="0" --bucket_reso_steps=64 --gradient_checkpointing --xformers --bucket_no_upscale --network_train_unet_only Resources used psychedelic trip lora https://ntcai.

Also at https://civitai.com/models/119351?modelVersionId=129641 Trained with the technique described at https://civitai.com/models/117518/headshot-sdxl-lora-trained-on-sd15-output With the https://ntcai.xyz/conceptmod/trip/ trip lora. Uses https://civitai.com/models/69651/sdprompt-prompts-from-a-huggingface-dataset wildcards. dataset has 1450 samples Training command CUDA_VISIBLE_DEVICES=0 accelerate launch --num_cpu_threads_per_process=2 "sdxl_train_network.py" --enable_bucket --pretrained_model_name_or_path="/ml2/trained/ComfyUI/models/checkpoints/stable-diffusion-xl-base-1.0/sd_xl_base_1.0.safetensors" --train_data_dir="/ml2/trained/sd-scripts/data/psychedelic_trip" --resolution="1024,1024" --output_dir="/ml2/trained/ComfyUI/models/loras/Lora/sdxl" --logging_dir="./logs" --save_model_as=safetensors --output_name="trip" --network_alpha="1" --network_dim=32 --network_module=networks.lora --text_encoder_lr=0.0008 --unet_lr=0.0008 --lr_scheduler="constant" --train_batch_size="16" --max_train_steps="10000" --mixed_precision="bf16" --save_every_n_epochs="1" --save_precision="bf16" --caption_extension=".txt" --optimizer_type="Adafactor" --optimizer_args scale_parameter=False relative_step=False warmup_init=False --max_data_loader_n_workers="0" --bucket_reso_steps=64 --gradient_checkpointing --xformers --bucket_no_upscale --network_train_unet_only Resources used psychedelic trip lora https://ntcai.xyz/conceptmod/trip/ SD1.5 aniverse https://civitai.com/models/107842 person wildcards https://civitai.

This is a proof of concept for training an SDXL lora on SD1.5 knowledge. Trained on ‘headshot of person’ where person is a wildcard. This is also available on https://ntcai.xyz/sdxl/headshot Quick note I just setup a patreon at patreon.com/NTCAI if you’d like to support my work or vote on what to work on next. There’s also an nft drop planned for supporters but it won’t have financial value, just having fun.