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Upload folder using huggingface_hub
Browse files- README.md +31 -0
- dataset.toml +14 -0
- masons-000004.safetensors +3 -0
- masons-000008.safetensors +3 -0
- masons-000012.safetensors +3 -0
- masons-000016.safetensors +3 -0
- masons.safetensors +3 -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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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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# masons
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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 `masons` 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/masons'
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class_tokens = 'masons'
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num_repeats = 15
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masons-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:69fd0fc0451a47339ceb5bf85959ea17458ed99ee8401b4ebaec712a0ce2c190
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size 39758760
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masons-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2270015d875b5d09de295bc4b65a00ebc69aa5621e88540a69c9937a0d4759d8
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size 39758760
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masons-000012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8efa2d1d9e39ed21e4c804b2ad22035a019d195664b71130b1e1327ff6c69e4a
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size 39758760
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masons-000016.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:12348472c369af07f4c0b3b53e5ad4ed83afce0ba383676321decf69554583de
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size 39758760
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masons.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e54f6748745a7393d5ab5a7c5b7b62db83f34521c8b4673861575e4dc8b8a912
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size 39758760
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sample_prompts.txt
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masons
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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 \
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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 \
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