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diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..f4c6fe1416dda37fb9b9f548fb3d36c1824f33fd
--- /dev/null
+++ b/README.md
@@ -0,0 +1,38 @@
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/sam2_003600_00_20250716113654.png
+    text: s34m is happily eating a burger and fries at a diner. Diner is car and race
+        themed.
+-   output:
+        url: sample/sam2_003600_01_20250716113700.png
+    text: s34m is having a picnic by himself at the lakeside. There are food on the
+        picnic blanket and there is a basket next to him.
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: s34m
+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
+---
+
+# sam2
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `s34m` 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.
+
diff --git a/dataset.toml b/dataset.toml
new file mode 100644
index 0000000000000000000000000000000000000000..fbfa87ba97d007548094cbca101dde499fba55ce
--- /dev/null
+++ b/dataset.toml
@@ -0,0 +1,14 @@
+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 1024
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = '/app/fluxgym/datasets/sam2'
+  class_tokens = 's34m'
+  num_repeats = 9
\ No newline at end of file
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diff --git a/sample_prompts.txt b/sample_prompts.txt
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+s34m is happily eating a burger and fries at a diner. Diner is car and race themed.
+s34m is having a picnic by himself at the lakeside. There are food on the picnic blanket and there is a basket next to him.
\ No newline at end of file
diff --git a/train.sh b/train.sh
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index 0000000000000000000000000000000000000000..9344bcde9dbb572d0753fe4852fd8ec0ca367ae8
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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 "/app/fluxgym/models/unet/flux1-dev.sft" \
+  --clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \
+  --t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+  --ae "/app/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 32 \
+  --optimizer_type adamw8bit \--sample_prompts="/app/fluxgym/outputs/sam2/sample_prompts.txt" --sample_every_n_steps="100" \
+  --learning_rate 2e-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 "/app/fluxgym/outputs/sam2/dataset.toml" \
+  --output_dir "/app/fluxgym/outputs/sam2" \
+  --output_name sam2 \
+  --timestep_sampling flux_shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \
+  --alpha_mask \
+  --enable_bucket \
+  --max_train_steps 4000 \
+  --network_alpha 16 \
+  --save_every_n_steps 200 \
+  --train_batch_size 4
\ No newline at end of file