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README.md ADDED
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+ ---
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+ tags:
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+ - text-to-image
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+ - flux
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+ - lora
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+ - diffusers
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+ - template:sd-lora
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+ - fluxgym
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+
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+
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: masons
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+ license: other
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+ license_name: flux-1-dev-non-commercial-license
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+ license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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+ ---
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+
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+ # masons
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+
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+ A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
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+
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+ <Gallery />
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+
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+ ## Trigger words
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+
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+ You should use `masons` to trigger the image generation.
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+
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+ ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
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+
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+ Weights for this model are available in Safetensors format.
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+
dataset.toml ADDED
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+ [general]
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+ shuffle_caption = false
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+ caption_extension = '.txt'
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+ keep_tokens = 1
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+
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+ [[datasets]]
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+ resolution = 512
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+ batch_size = 1
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+ keep_tokens = 1
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+
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+ [[datasets.subsets]]
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+ image_dir = '/app/fluxgym/datasets/masons'
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+ class_tokens = 'masons'
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+ num_repeats = 15
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+ size 39758760
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sample_prompts.txt ADDED
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+ masons
train.sh ADDED
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+ accelerate launch \
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+ --mixed_precision bf16 \
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+ --num_cpu_threads_per_process 1 \
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+ sd-scripts/flux_train_network.py \
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+ --pretrained_model_name_or_path "/app/fluxgym/models/unet/flux1-dev.sft" \
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+ --clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \
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+ --t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \
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+ --ae "/app/fluxgym/models/vae/ae.sft" \
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+ --cache_latents_to_disk \
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+ --save_model_as safetensors \
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+ --sdpa --persistent_data_loader_workers \
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+ --max_data_loader_n_workers 2 \
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+ --seed 42 \
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+ --gradient_checkpointing \
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+ --mixed_precision bf16 \
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+ --save_precision bf16 \
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+ --network_module networks.lora_flux \
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+ --network_dim 4 \
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+ --optimizer_type adamw8bit \
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+ --learning_rate 8e-4 \
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+ --cache_text_encoder_outputs \
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+ --cache_text_encoder_outputs_to_disk \
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+ --fp8_base \
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+ --highvram \
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+ --max_train_epochs 20 \
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+ --save_every_n_epochs 4 \
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+ --dataset_config "/app/fluxgym/outputs/masons/dataset.toml" \
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+ --output_dir "/app/fluxgym/outputs/masons" \
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+ --output_name masons \
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+ --timestep_sampling shift \
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+ --discrete_flow_shift 3.1582 \
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+ --model_prediction_type raw \
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+ --guidance_scale 1 \
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+ --loss_type l2 \