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Browse files- .gitattributes +2 -0
- README.md +31 -1
- dataset.toml +14 -0
- sample/stephenmiller-dev2pro-lora_007200_00_20250208024415.png +3 -0
- sample/stephenmiller-dev2pro-lora_008000_00_20250208025910.png +3 -0
- sample_prompts.txt +1 -0
- stephenmiller-dev2pro-lora-000004.safetensors +3 -0
- stephenmiller-dev2pro-lora-000008.safetensors +3 -0
- stephenmiller-dev2pro-lora-000012.safetensors +3 -0
- stephenmiller-dev2pro-lora.safetensors +3 -0
- train.bat +34 -0
.gitattributes
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README.md
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---
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-
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---
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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/stephenmiller-dev2pro-lora_008000_00_20250208025910.png
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text: A photo of Stephen Miller, Stephen Miller,
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: A photo of Stephen Miller, Stephen Miller,
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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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# stephenmiller-dev2pro-lora
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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 `A photo of Stephen Miller, Stephen Miller,` 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 = 'E:\Pinokio\api\fluxgym.git\datasets\stephenmiller-dev2pro-lora'
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class_tokens = 'A photo of Stephen Miller, Stephen Miller,'
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num_repeats = 10
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sample/stephenmiller-dev2pro-lora_007200_00_20250208024415.png
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Git LFS Details
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sample/stephenmiller-dev2pro-lora_008000_00_20250208025910.png
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Git LFS Details
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sample_prompts.txt
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A photo of Stephen Miller, Stephen Miller,
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stephenmiller-dev2pro-lora-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bdef68d95ed80e6e20acd19645f9a55718cb820f3b3123dcb432c2def178961a
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size 39775808
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size 39775808
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version https://git-lfs.github.com/spec/v1
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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 "E:\Pinokio\api\fluxgym.git\models\unet\bdsqlsz\flux1-dev2pro-single\flux1-dev2pro.safetensors" ^
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--clip_l "E:\Pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
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--t5xxl "E:\Pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
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--ae "E:\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="E:\Pinokio\api\fluxgym.git\outputs\stephenmiller-dev2pro-lora\sample_prompts.txt" --sample_every_n_steps="800" ^
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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 "E:\Pinokio\api\fluxgym.git\outputs\stephenmiller-dev2pro-lora\dataset.toml" ^
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--output_dir "E:\Pinokio\api\fluxgym.git\outputs\stephenmiller-dev2pro-lora" ^
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--output_name stephenmiller-dev2pro-lora ^
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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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