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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/g3na1j8k3_004800_00_20241205003557.png
+    text: g3na1J8k3 man smiling as a vibrate comic book cover
+-   output:
+        url: sample/g3na1j8k3_004800_01_20241205003607.png
+    text: g3na1J8k3 man A simple YouTube banner with a clean design for a tech video.
+        The banner shows bold text reading "GenAI Jake!" in large, easy-to-read Comic
+        Book style font. featuring a comic book drawing of g3na1J8k3  with subtle
+        lime green accents
+-   output:
+        url: sample/g3na1j8k3_004800_02_20241205003618.png
+    text: g3na1J8k3 man selfie in the backseat of a car IMG_1922.CR2
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: g3na1J8k3
+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
+---
+
+# g3na1J8k3
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `g3na1J8k3` 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:\Users\sterl\pinokio\api\fluxgym.git\datasets\g3na1j8k3'
+  class_tokens = 'g3na1J8k3'
+  num_repeats = 10

g3na1j8k3-000004.safetensors

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+oid sha256:8ffbbd9a39b38e0f321bb4f71526e99336038782ca41a4b14f979f55be8a51b5
+size 39767032

g3na1j8k3-000008.safetensors

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+oid sha256:3ca58c8e4b1be5720db15f5a7684cfa5f360539b30e6e67597783f0314d03939
+size 39767032

g3na1j8k3-000012.safetensors

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+size 39767032

g3na1j8k3.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0ac180087ffd9a48d0788717bcbf0dc68947d29bd577eb505b7723c24f8c951b
+size 39767032

sample_prompts.txt

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+g3na1J8k3 man smiling as a vibrate comic book cover
+g3na1J8k3 man A simple YouTube banner with a clean design for a tech video. The banner shows bold text reading "GenAI Jake!" in large, easy-to-read Comic Book style font. featuring a comic book drawing of g3na1J8k3  with subtle lime green accents 
+g3na1J8k3 man selfie in the backseat of a car IMG_1922.CR2

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:\Users\sterl\pinokio\api\fluxgym.git\models\unet\bdsqlsz\flux1-dev2pro-single\flux1-dev2pro.safetensors" ^
+  --clip_l "C:\Users\sterl\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "C:\Users\sterl\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "C:\Users\sterl\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="C:\Users\sterl\pinokio\api\fluxgym.git\outputs\g3na1j8k3\sample_prompts.txt" --sample_every_n_steps="400" ^
+  --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:\Users\sterl\pinokio\api\fluxgym.git\outputs\g3na1j8k3\dataset.toml" ^
+  --output_dir "C:\Users\sterl\pinokio\api\fluxgym.git\outputs\g3na1j8k3" ^
+  --output_name g3na1j8k3 ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^