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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/becc_000500_01_20241120214637_45.png
+    text: BECC box of beco product placed on a table --d 45
+-   output:
+        url: sample/becc_001000_01_20241120215828_45.png
+    text: BECC box of beco placed next to a Bernese mountain dog --d 45
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: BECC
+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
+---
+
+# BECC
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `BECC` 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.
+

becc-000004.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ef82f17e3a6426460051ff44a830f6882c64e1a0f07bca0fe139a791e29b2bdf
+size 39760920

becc-000008.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee3e2c6b8de23576b700f45ec47a5082c2b25fac6cb46ddac5f9bf33858b144a
+size 39760920

becc-000012.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f85a26f52bd123b358ebdbe195d0e3d4d452d1d6eb5e1d7c9eaed6c3cf65ec1e
+size 39760920

becc.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d16ff10e568fe9acc76a81e599893f068a8b03d3bad4c69ca49fd2ecb4453be4
+size 39760920

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\marko\Downloads\FLUXGYM\fluxgym\datasets\becc'
+  class_tokens = 'BECC'
+  num_repeats = 10

sample_prompts.txt

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+BECC box of beco product placed on a table --d 45
+BECC box of beco placed next to a Bernese mountain dog --d 45

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\marko\Downloads\FLUXGYM\fluxgym\models\unet\flux1-dev.sft" ^
+  --clip_l "C:\Users\marko\Downloads\FLUXGYM\fluxgym\models\clip\clip_l.safetensors" ^
+  --t5xxl "C:\Users\marko\Downloads\FLUXGYM\fluxgym\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "C:\Users\marko\Downloads\FLUXGYM\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 4 ^
+  --optimizer_type adamw8bit ^--sample_prompts="C:\Users\marko\Downloads\FLUXGYM\fluxgym\outputs\becc\sample_prompts.txt" --sample_every_n_steps="500" ^
+  --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\marko\Downloads\FLUXGYM\fluxgym\outputs\becc\dataset.toml" ^
+  --output_dir "C:\Users\marko\Downloads\FLUXGYM\fluxgym\outputs\becc" ^
+  --output_name becc ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^