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 *.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/rogerstone-dev2pro-lora_007840_00_20250112011429.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,33 @@
 ---
-license: apache-2.0
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/rogerstone-dev2pro-lora_007840_00_20250112011429.png
+    text: A photo of Roger Stone, Roger Stone,
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: A photo of Roger Stone, Roger Stone,
+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
 ---
+
+# rogerstone-dev2pro-lora
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `A photo of Roger Stone, Roger Stone,` 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 = 'E:\Pinokio\api\fluxgym.git\datasets\rogerstone-dev2pro-lora'
+  class_tokens = 'A photo of Roger Stone, Roger Stone,'
+  num_repeats = 10

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sample_prompts.txt

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+A photo of Roger Stone, Roger Stone,

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 "E:\Pinokio\api\fluxgym.git\models\unet\bdsqlsz\flux1-dev2pro-single\flux1-dev2pro.safetensors" ^
+  --clip_l "E:\Pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "E:\Pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "E:\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="E:\Pinokio\api\fluxgym.git\outputs\rogerstone-dev2pro-lora\sample_prompts.txt" --sample_every_n_steps="784" ^
+  --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 2 ^
+  --dataset_config "E:\Pinokio\api\fluxgym.git\outputs\rogerstone-dev2pro-lora\dataset.toml" ^
+  --output_dir "E:\Pinokio\api\fluxgym.git\outputs\rogerstone-dev2pro-lora" ^
+  --output_name rogerstone-dev2pro-lora ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^