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Browse files- README.md +33 -0
- becoo-000004.safetensors +3 -0
- becoo-000008.safetensors +3 -0
- becoo-000012.safetensors +3 -0
- becoo.safetensors +3 -0
- dataset.toml +14 -0
- sample/becoo_000500_00_20241125141429.png +0 -0
- sample/becoo_000500_00_20241125193158.png +0 -0
- sample/becoo_001000_00_20241125142645.png +0 -0
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- sample_prompts.txt +1 -0
- train.bat +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/becoo_008000_00_20241125171518.png
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text: Becoo
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Becoo
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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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# Becoo
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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 `Becoo` 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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becoo-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b01812f50a3085f74e46119f638abaa5102bfb6071a9f496376630c998b941b8
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size 39765760
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becoo-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4af32bc365ed56f5566b194f6e409ff9876df922917f2f15a0a8401ba8b458f6
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size 39765752
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becoo-000012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:482f07ac32adefbe5144a788a5a66f7f4b619f4b7a4dfef61dbc4ebb05c537db
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size 39765760
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becoo.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b06db1e9d9b0ad8e5447192987053b444cf092c316211dcf51e30b925d347f49
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size 39765760
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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 = 'C:\Users\marko\Downloads\FLUXGYM\fluxgym\datasets\becoo'
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class_tokens = 'Becoo'
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num_repeats = 10
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sample/becoo_000500_00_20241125141429.png
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sample/becoo_000500_00_20241125193158.png
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sample/becoo_001500_00_20241125143905.png
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sample/becoo_001500_00_20241125195534.png
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sample/becoo_002000_00_20241125145129.png
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sample/becoo_002500_00_20241125150354.png
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sample/becoo_002500_00_20241125202038.png
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sample_prompts.txt
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Becoo
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train.bat
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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 "C:\Users\marko\Downloads\FLUXGYM\fluxgym\models\unet\flux1-dev.sft" ^
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--clip_l "C:\Users\marko\Downloads\FLUXGYM\fluxgym\models\clip\clip_l.safetensors" ^
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--t5xxl "C:\Users\marko\Downloads\FLUXGYM\fluxgym\models\clip\t5xxl_fp16.safetensors" ^
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--ae "C:\Users\marko\Downloads\FLUXGYM\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="C:\Users\marko\Downloads\FLUXGYM\fluxgym\outputs\becoo\sample_prompts.txt" --sample_every_n_steps="500" ^
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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 16 ^
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--save_every_n_epochs 4 ^
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--dataset_config "C:\Users\marko\Downloads\FLUXGYM\fluxgym\outputs\becoo\dataset.toml" ^
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--output_dir "C:\Users\marko\Downloads\FLUXGYM\fluxgym\outputs\becoo" ^
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--output_name becoo ^
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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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