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README.md ADDED
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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/reina_001200_00_20240921090302.png
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+ text: reina is studying in the library
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+ - output:
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+ url: sample/reina_001200_01_20240921090321.png
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+ text: reina is biking around next to hudson river
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+ - output:
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+ url: sample/reina_001200_02_20240921090339.png
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+ text: reina is riding a san francisco tram
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+ - output:
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+ url: sample/reina_001200_03_20240921090357.png
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+ text: reina is playing chess
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: reina
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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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+
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+ # reina
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+
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+ Trained with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
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+
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+ <Gallery />
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+
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+ ## Trigger words
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+
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+ You should use `reina` to trigger the image generation.
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+
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+ ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
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+
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+ Weights for this model are available in Safetensors format.
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+
dataset.toml ADDED
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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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+
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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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+
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+ [[datasets.subsets]]
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+ image_dir = 'C:\pinokio\api\fluxgym.git\datasets\reina'
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+ class_tokens = 'reina'
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+ num_repeats = 10
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+ version https://git-lfs.github.com/spec/v1
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+ size 39757096
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+ version https://git-lfs.github.com/spec/v1
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+ size 39757096
sample/reina_000200_00_20240921080030.png ADDED
sample/reina_000200_01_20240921080049.png ADDED
sample/reina_000200_02_20240921080107.png ADDED
sample/reina_000200_03_20240921080126.png ADDED
sample/reina_000400_00_20240921081307.png ADDED
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sample/reina_000400_02_20240921081344.png ADDED
sample/reina_000400_03_20240921081402.png ADDED
sample/reina_000600_00_20240921082542.png ADDED
sample/reina_000600_01_20240921082600.png ADDED
sample/reina_000600_02_20240921082618.png ADDED
sample/reina_000600_03_20240921082636.png ADDED
sample/reina_000800_00_20240921083808.png ADDED
sample/reina_000800_01_20240921083826.png ADDED
sample/reina_000800_02_20240921083844.png ADDED
sample/reina_000800_03_20240921083902.png ADDED
sample/reina_001000_00_20240921085035.png ADDED
sample/reina_001000_01_20240921085053.png ADDED
sample/reina_001000_02_20240921085111.png ADDED
sample/reina_001000_03_20240921085129.png ADDED
sample/reina_001200_00_20240921090302.png ADDED
sample/reina_001200_01_20240921090321.png ADDED
sample/reina_001200_02_20240921090339.png ADDED
sample/reina_001200_03_20240921090357.png ADDED
sample_prompts.txt ADDED
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+ reina is studying in the library
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+ reina is biking around next to hudson river
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+ reina is riding a san francisco tram
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+ reina is playing chess
train.bat ADDED
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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:\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
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+ --clip_l "C:\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
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+ --t5xxl "C:\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
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+ --ae "C:\pinokio\api\fluxgym.git\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:\pinokio\api\fluxgym.git\outputs\reina\sample_prompts.txt" --sample_every_n_steps="200" ^
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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:\pinokio\api\fluxgym.git\outputs\reina\dataset.toml" ^
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+ --output_dir "C:\pinokio\api\fluxgym.git\outputs\reina" ^
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+ --output_name reina ^
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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 ^