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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/erine-moriarty-flux_001500_00_20241128182203.png
+    text: photo portrait of a woman in light, dark background, makeup, smiling
+-   output:
+        url: sample/erine-moriarty-flux_001500_01_20241128182241.png
+    text: photo portrait of a woman in city paris, Eiffel tower in background, smiling
+-   output:
+        url: sample/erine-moriarty-flux_001500_02_20241128182319.png
+    text: photo of woman in red dress, smiling, cleavage
+-   output:
+        url: sample/erine-moriarty-flux_001500_03_20241128182357.png
+    text: photo of woman standing outdoor in forest, smiling
+-   output:
+        url: sample/erine-moriarty-flux_001500_04_20241128182435.png
+    text: photo of woman standing and smiling in bikini on beach
+base_model: black-forest-labs/FLUX.1-dev
+
+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
+---
+
+# Erine Moriarty Flux
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+No trigger words defined.
+
+## 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 = 'X:\Pinokio\api\fluxgym.git\datasets\erine-moriarty-flux'
+  class_tokens = ''
+  num_repeats = 5

erine-moriarty-flux-000004.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1a3738712157a275d58f237aaed5aa68c66045c665d6906a7ebb6633dbace784
+size 39773992

erine-moriarty-flux-000008.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cd357e94b7377793dca69e3348f8e10bbaf1b2c67c9e27535a524cf45a72c06b
+size 39773992

erine-moriarty-flux.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c846b52e4b2351b797fb59b59905474e65246b199e5ddcd414855417f6e56d8
+size 39773992

sample_prompts.txt

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+photo portrait of a woman in light, dark background, makeup, smiling
+photo portrait of a woman in city paris, Eiffel tower in background, smiling
+photo of woman in red dress, smiling, cleavage
+photo of woman standing outdoor in forest, smiling
+photo of woman standing and smiling in bikini on beach

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 "X:\Pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
+  --clip_l "X:\Pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "X:\Pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "X:\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 adafactor ^
+  --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" ^
+  --lr_scheduler constant_with_warmup ^
+  --max_grad_norm 0.0 ^--sample_prompts="X:\Pinokio\api\fluxgym.git\outputs\erine-moriarty-flux\sample_prompts.txt" --sample_every_n_steps="500" ^
+  --learning_rate 8e-4 ^
+  --cache_text_encoder_outputs ^
+  --cache_text_encoder_outputs_to_disk ^
+  --fp8_base ^
+  --highvram ^
+  --max_train_epochs 10 ^
+  --save_every_n_epochs 4 ^
+  --dataset_config "X:\Pinokio\api\fluxgym.git\outputs\erine-moriarty-flux\dataset.toml" ^
+  --output_dir "X:\Pinokio\api\fluxgym.git\outputs\erine-moriarty-flux" ^
+  --output_name erine-moriarty-flux ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^