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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/banksy-dev2pro_001260_00_20240925124418.png
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+ text: banksy mural of a fat man eating junk food
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+ - output:
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+ url: sample/banksy-dev2pro_001260_01_20240925124424.png
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+ text: banksy mural of an elephant
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+ - output:
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+ url: sample/banksy-dev2pro_001260_02_20240925124430.png
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+ text: banksy mural of a girl in a red cape standing next to a wolf
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+ base_model: bdsqlsz/flux1-dev2pro-single
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+ instance_prompt: banksy mural
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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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+ # banksy-dev2pro
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+
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+ A Flux LoRA trained on a local computer 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 `banksy mural` 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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+
banksy-dev2pro-000004.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 39757184
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+ size 39757184
banksy-dev2pro.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7586bd940ccd889901fe27073da8c65ae339b2fc7d81b829e0ee83b89e77e177
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+ size 39757184
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\banksy-dev2pro'
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+ class_tokens = 'banksy mural'
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+ num_repeats = 4
sample/banksy-dev2pro_000252_00_20240925122509.png ADDED
sample/banksy-dev2pro_000252_01_20240925122514.png ADDED
sample/banksy-dev2pro_000252_02_20240925122520.png ADDED
sample/banksy-dev2pro_000504_00_20240925122955.png ADDED
sample/banksy-dev2pro_000504_01_20240925123001.png ADDED
sample/banksy-dev2pro_000504_02_20240925123007.png ADDED
sample/banksy-dev2pro_000756_00_20240925123442.png ADDED
sample/banksy-dev2pro_000756_01_20240925123447.png ADDED
sample/banksy-dev2pro_000756_02_20240925123453.png ADDED
sample/banksy-dev2pro_001008_00_20240925123930.png ADDED
sample/banksy-dev2pro_001008_01_20240925123936.png ADDED
sample/banksy-dev2pro_001008_02_20240925123942.png ADDED
sample/banksy-dev2pro_001260_00_20240925124418.png ADDED
sample/banksy-dev2pro_001260_01_20240925124424.png ADDED
sample/banksy-dev2pro_001260_02_20240925124430.png ADDED
sample_prompts.txt ADDED
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+ banksy mural of a fat man eating junk food
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+ banksy mural of an elephant
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+ banksy mural of a girl in a red cape standing next to a wolf
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\bdsqlsz\flux1-dev2pro-single\flux1-dev2pro.safetensors" ^
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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\banksy-dev2pro\sample_prompts.txt" --sample_every_n_steps="252" ^
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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\banksy-dev2pro\dataset.toml" ^
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+ --output_dir "C:\pinokio\api\fluxgym.git\outputs\banksy-dev2pro" ^
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+ --output_name banksy-dev2pro ^
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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 ^