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@@ -33,3 +33,14 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+sample/penbul_000250_00_20250312141325.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_000500_00_20250312142142.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_000750_00_20250312143001.png filter=lfs diff=lfs merge=lfs -text
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+sample/penbul_001250_00_20250312144706.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_001500_00_20250312145534.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_001750_00_20250312150400.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_002000_00_20250312151225.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_002250_00_20250312152047.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_002500_00_20250312152910.png filter=lfs diff=lfs merge=lfs -text
+sample/penbul_002750_00_20250312153734.png filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/README-checkpoint.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: penbul, male with big bulge, visible erection inside underwear
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+# penbul
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `penbul, male with big bulge, visible erection inside underwear` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
+
+Weights for this model are available in Safetensors format.
+

.ipynb_checkpoints/dataset-checkpoint.toml

@@ -0,0 +1,14 @@
+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 512
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = '/workspace/fluxgym/datasets/penbul'
+  class_tokens = 'penbul, male with big bulge, visible erection inside underwear'
+  num_repeats = 15

.ipynb_checkpoints/sample_prompts-checkpoint.txt

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+penbul, male with big bulge, visible erection inside underwear

.ipynb_checkpoints/train-checkpoint.sh

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+accelerate launch \
+  --mixed_precision fp16 \
+  --num_cpu_threads_per_process 1 \
+  sd-scripts/flux_train_network.py \
+  --pretrained_model_name_or_path "/workspace/fluxgym/models/unet/flux1-dev.sft" \
+  --clip_l "/workspace/fluxgym/models/clip/clip_l.safetensors" \
+  --t5xxl "/workspace/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+  --ae "/workspace/fluxgym/models/vae/ae.sft" \
+  --cache_latents_to_disk \
+  --save_model_as safetensors \
+  --sdpa --persistent_data_loader_workers \
+  --max_data_loader_n_workers 8 \
+  --seed 42 \
+  --gradient_checkpointing \
+  --mixed_precision fp16 \
+  --save_precision fp16 \
+  --network_module networks.lora_flux \
+  --network_dim 64 \
+  --optimizer_type adamw8bit \--sample_prompts="/workspace/fluxgym/outputs/penbul/sample_prompts.txt" --sample_every_n_steps="250" \
+  --learning_rate 1e-4 \
+  --cache_text_encoder_outputs \
+  --cache_text_encoder_outputs_to_disk \
+  --fp8_base \
+  --highvram \
+  --max_train_epochs 20 \
+  --save_every_n_epochs 1 \
+  --dataset_config "/workspace/fluxgym/outputs/penbul/dataset.toml" \
+  --output_dir "/workspace/fluxgym/outputs/penbul" \
+  --output_name penbul \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \
+  --adaptive_noise_scale 1.0 \
+  --bucket_reso_steps 64 \
+  --cache_latents \
+  --clip_skip 2 \
+  --console_log_level DEBUG \
+  --enable_bucket \
+  --gradient_accumulation_steps 2 \
+  --lr_scheduler_timescale 0 \
+  --max_bucket_reso 1024 \
+  --max_train_steps 7000 \
+  --max_validation_steps 10 \
+  --mem_eff_attn \
+  --min_bucket_reso 512 \
+  --network_alpha 32 \
+  --network_dropout 0.1 \
+  --noise_offset 0.1 \
+  --offload_optimizer_device cpu \
+  --resolution 768,1024 \
+  --train_batch_size 8 \
+  --xformers

README.md

@@ -0,0 +1,33 @@
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/penbul_002750_00_20250312153734.png
+    text: penbul, male with big bulge, visible erection inside underwear
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: penbul, male with big bulge, visible erection inside underwear
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+# penbul
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `penbul, male with big bulge, visible erection inside underwear` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
+
+Weights for this model are available in Safetensors format.
+

dataset.toml

@@ -0,0 +1,14 @@
+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 1024
+batch_size = 4
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = '/workspace/fluxgym/datasets/penbul'
+  class_tokens = 'penbul, male with big bulge, visible erection inside underwear'
+  num_repeats = 20

penbul-000001.safetensors

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+size 634023808

penbul-000002.safetensors

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penbul-000003.safetensors

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penbul-000004.safetensors

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penbul-000005.safetensors

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penbul-000006.safetensors

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penbul-000007.safetensors

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penbul-000008.safetensors

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penbul-000009.safetensors

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penbul.safetensors

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+oid sha256:545a584372dff05f1fde2cbcb58b11b76219e00575d634093518feb05e25b0e2
+size 634023808

sample_prompts.txt

@@ -0,0 +1 @@
+penbul, male with big bulge, visible erection inside underwear

train.sh

@@ -0,0 +1,54 @@
+accelerate launch \
+  --mixed_precision bf16 \
+  --num_cpu_threads_per_process 1 \
+  sd-scripts/flux_train_network.py \
+  --pretrained_model_name_or_path "/workspace/fluxgym/models/unet/flux1-dev.sft" \
+  --clip_l "/workspace/fluxgym/models/clip/clip_l.safetensors" \
+  --t5xxl "/workspace/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+  --ae "/workspace/fluxgym/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 64 \
+  --optimizer_type adamw8bit \--sample_prompts="/workspace/fluxgym/outputs/penbul/sample_prompts.txt" --sample_every_n_steps="250" \
+  --learning_rate 1e-4 \
+  --cache_text_encoder_outputs \
+  --cache_text_encoder_outputs_to_disk \
+  --fp8_base \
+  --highvram \
+  --max_train_epochs 20 \
+  --save_every_n_epochs 1 \
+  --dataset_config "/workspace/fluxgym/outputs/penbul/dataset.toml" \
+  --output_dir "/workspace/fluxgym/outputs/penbul" \
+  --output_name penbul \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \
+  --adaptive_noise_scale 1.0 \
+  --bucket_reso_steps 64 \
+  --cache_latents \
+  --clip_skip 2 \
+  --console_log_level DEBUG \
+  --enable_bucket \
+  --gradient_accumulation_steps 2 \
+  --lr_scheduler_timescale 0 \
+  --max_bucket_reso 1024 \
+  --max_train_steps 7000 \
+  --max_validation_steps 10 \
+  --mem_eff_attn \
+  --min_bucket_reso 256 \
+  --network_alpha 32 \
+  --network_dropout 0.1 \
+  --noise_offset 0.1 \
+  --offload_optimizer_device cpu \
+  --resolution 768,768 \
+  --train_batch_size 4 \
+  --xformers