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- dataset.toml +14 -0
- sample/test-6_000050_00_20241014145929_42.png +0 -0
- sample/test-6_000100_00_20241014150056_42.png +0 -0
- sample/test-6_000150_00_20241014150223_42.png +0 -0
- sample/test-6_000200_00_20241014150351_42.png +0 -0
- sample/test-6_000250_00_20241014150519_42.png +0 -0
- sample/test-6_000300_00_20241014150646_42.png +0 -0
- sample/test-6_000350_00_20241014150813_42.png +0 -0
- sample/test-6_000400_00_20241014150941_42.png +0 -0
- sample/test-6_000450_00_20241014151108_42.png +0 -0
- sample_prompts.txt +1 -0
- test-6-000004.safetensors +3 -0
- test-6-000008.safetensors +3 -0
- test-6.safetensors +3 -0
- train.sh +34 -0
README.md
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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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widget:
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- output:
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url: sample/test-6_000050_00_20241014145929_42.png
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text: t3st a man and woman sitting at a table with a laptop and a cup of coffee
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--d 42
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base_model: black-forest-labs/FLUX.1-schnell
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instance_prompt: t3st
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license: apache-2.0
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---
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# test-6
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A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
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<Gallery />
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## Trigger words
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You should use `t3st` to trigger the image generation.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
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Weights for this model are available in Safetensors format.
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dataset.toml
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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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[[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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[[datasets.subsets]]
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image_dir = '/app/fluxgym/datasets/test-6'
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class_tokens = 't3st'
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num_repeats = 3
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sample/test-6_000050_00_20241014145929_42.png
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sample/test-6_000100_00_20241014150056_42.png
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sample/test-6_000200_00_20241014150351_42.png
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sample/test-6_000250_00_20241014150519_42.png
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sample/test-6_000300_00_20241014150646_42.png
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sample/test-6_000350_00_20241014150813_42.png
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sample/test-6_000450_00_20241014151108_42.png
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sample_prompts.txt
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t3st a man and woman sitting at a table with a laptop and a cup of coffee --d 42
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test-6-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4720835e57f850a7a116018a7640996c46b3357f4620f953804b07dbbe4fadbf
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size 39765544
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test-6-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5326d479e4c28220f2e334bac8c6c99de05bec4434f5d92c791453e113ab567f
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size 39765544
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test-6.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0462d1575e1d3f56308cd1f7246479c5be1e8ff9987672c467288f564427832c
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size 39765544
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train.sh
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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-schnell.safetensors" \
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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 \--sample_prompts="/app/fluxgym/outputs/test-6/sample_prompts.txt" --sample_every_n_steps="50" \
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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 10 \
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--save_every_n_epochs 4 \
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--dataset_config "/app/fluxgym/outputs/test-6/dataset.toml" \
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--output_dir "/app/fluxgym/outputs/test-6" \
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--output_name test-6 \
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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 \
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