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Browse files- README.md +33 -0
- bever-000004.safetensors +3 -0
- bever-000008.safetensors +3 -0
- bever-000012.safetensors +3 -0
- bever.safetensors +3 -0
- dataset.toml +14 -0
- sample/bever_000500_00_20241219072839.png +0 -0
- sample/bever_001000_00_20241219073651.png +0 -0
- sample/bever_001500_00_20241219074504.png +0 -0
- sample/bever_002000_00_20241219075312.png +0 -0
- sample/bever_002500_00_20241219080122.png +0 -0
- sample/bever_003000_00_20241219080931.png +0 -0
- sample/bever_003500_00_20241219081738.png +0 -0
- sample/bever_004000_00_20241219082545.png +0 -0
- sample/bever_004500_00_20241219083353.png +0 -0
- sample/bever_005000_00_20241219084159.png +0 -0
- sample/bever_005500_00_20241219085006.png +0 -0
- sample/bever_006000_00_20241219085813.png +0 -0
- sample/bever_006500_00_20241219090619.png +0 -0
- sample_prompts.txt +1 -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/bever_006500_00_20241219090619.png
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text: Bever
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Bever
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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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# Bever
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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 `Bever` 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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bever-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bcef82b680e55e8c8b46d03589c9c821418821667ecc86a7e2ac04b03399e921
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size 39763096
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bever-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:77a74450ca35621f27c7236eea6f100c386bb950700e7c8e557480396bb5c98d
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size 39763096
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bever-000012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:70f1b84d799ddbb1d29bc7c1eae4af69d224695f8526cf6ecf025c5f473fbc59
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size 39763096
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bever.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:49fe49fcce9e3c9b9e579b5671845092a62c5c049cf06155ab31e5d67965ce1e
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size 39763096
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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/bever'
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class_tokens = 'Bever'
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num_repeats = 5
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sample/bever_000500_00_20241219072839.png
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sample/bever_001000_00_20241219073651.png
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sample/bever_001500_00_20241219074504.png
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sample/bever_002000_00_20241219075312.png
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sample/bever_002500_00_20241219080122.png
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sample/bever_003000_00_20241219080931.png
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sample/bever_003500_00_20241219081738.png
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sample/bever_004000_00_20241219082545.png
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sample/bever_004500_00_20241219083353.png
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sample/bever_005000_00_20241219084159.png
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sample/bever_005500_00_20241219085006.png
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sample/bever_006000_00_20241219085813.png
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sample/bever_006500_00_20241219090619.png
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sample_prompts.txt
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Bever
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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-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 \--sample_prompts="/app/fluxgym/outputs/bever/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 "/app/fluxgym/outputs/bever/dataset.toml" \
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--output_dir "/app/fluxgym/outputs/bever" \
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--output_name bever \
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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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