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README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/pennywise_000800_00_20240916110253.png
+    text: a photo of pnw dressed as a priest, standing on an altar in a church
+-   output:
+        url: sample/pennywise_000800_01_20240916110259.png
+    text: a photo of pnw selling hot dogs on a hot dog stand in new york times square
+-   output:
+        url: sample/pennywise_000800_02_20240916110305.png
+    text: a photo of pnw dressed in bikini standing on a beach
+-   output:
+        url: sample/pennywise_000800_03_20240916110311.png
+    text: pnw wearing a basketball jersey playing basketball
+-   output:
+        url: sample/pennywise_000800_04_20240916110317.png
+    text: pnw playing the piano in a dimly lit jazz club
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: pnw
+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
+---
+
+# pennywise
+
+Trained with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `pnw` 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

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+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 512
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = 'C:\pinokio\api\fluxgym.git\datasets\pennywise'
+  class_tokens = 'pnw'
+  num_repeats = 10

pennywise-000004.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e1546ed83d4b30148d0f427f92c2887c5034fac47dc9fbdd563a14eeaf3e5512
+size 39757112

pennywise-000008.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:befbe92200e01f74f9392c9a497e9ab1a029222a2aee7944d8f2cfbd4e1d7ce3
+size 39757112

pennywise-000012.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f37fdfb1df75587caf15c9712d0635d1de59cee2556b2c79bbc3016a5e0ddf02
+size 39757112

pennywise.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f73c0cc1b53ce2b21a42f96b1df0e54c7ee614624e02640230ea281f0c2fbb22
+size 39757112

sample_prompts.txt

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+a photo of pnw dressed as a priest, standing on an altar in a church
+a photo of pnw selling hot dogs on a hot dog stand in new york times square
+a photo of pnw dressed in bikini standing on a beach
+pnw wearing a basketball jersey playing basketball
+pnw playing the piano in a dimly lit jazz club

train.bat

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+accelerate launch ^
+  --mixed_precision bf16 ^
+  --num_cpu_threads_per_process 1 ^
+  sd-scripts/flux_train_network.py ^
+  --pretrained_model_name_or_path "C:\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
+  --clip_l "C:\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "C:\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "C:\pinokio\api\fluxgym.git\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 ^--sample_prompts="C:\pinokio\api\fluxgym.git\outputs\pennywise\sample_prompts.txt" --sample_every_n_steps="200" ^
+  --learning_rate 8e-4 ^
+  --cache_text_encoder_outputs ^
+  --cache_text_encoder_outputs_to_disk ^
+  --fp8_base ^
+  --highvram ^
+  --max_train_epochs 16 ^
+  --save_every_n_epochs 4 ^
+  --dataset_config "C:\pinokio\api\fluxgym.git\outputs\pennywise\dataset.toml" ^
+  --output_dir "C:\pinokio\api\fluxgym.git\outputs\pennywise" ^
+  --output_name pennywise ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^