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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/randart2-lora_001480_00_20241104231334.png
+    text: A portrait of a beautiful woman in the style of randart2_lora
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: randart2_lora, in the stye of randart2_lora
+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
+---
+
+# randart2_lora
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `randart2_lora, in the stye of randart2_lora` 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 = '/app/fluxgym/datasets/randart2-lora'
+  class_tokens = 'randart2_lora, in the stye of randart2_lora'
+  num_repeats = 4

randart2-lora-000001.safetensors

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randart2-lora-000002.safetensors

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sample_prompts.txt

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+A portrait of a beautiful woman in the style of randart2_lora

train.sh

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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 69 \
+  --gradient_checkpointing \
+  --mixed_precision bf16 \
+  --save_precision bf16 \
+  --network_module networks.lora_flux \
+  --network_dim 8 \
+  --optimizer_type adamw8bit \--sample_prompts="/app/fluxgym/outputs/randart2-lora/sample_prompts.txt" --sample_every_n_steps="148" \
+  --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 1 \
+  --dataset_config "/app/fluxgym/outputs/randart2-lora/dataset.toml" \
+  --output_dir "/app/fluxgym/outputs/randart2-lora" \
+  --output_name randart2-lora \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \