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README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/d0nk1n-pomeranian_002560_00_20240922231714.png
+    text: d0nk1n Pomeranian
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: d0nk1n Pomeranian
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+# d0nk1n-pomeranian
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `d0nk1n Pomeranian` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
+
+Weights for this model are available in Safetensors format.
+

d0nk1n-pomeranian-000006.safetensors

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+oid sha256:48f4367c75c4baf6d30f21f268ab7a3a12d196ee92f9d223d64a6803daca08c7
+size 39757280

d0nk1n-pomeranian-000012.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:46918dc2dc3d1e7fac0e2bdc384af99906e8f22cabe72520fdd8e7f29ef60b85
+size 39757288

d0nk1n-pomeranian.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1188d702bbf6eeb8e84b83b6fc175d976588a670d6dd38715c7e913fc8fe2cad
+size 39757288

dataset.toml

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+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 512
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = 'C:\Users\sterl\pinokio\api\fluxgym.git\datasets\d0nk1n-pomeranian'
+  class_tokens = 'd0nk1n Pomeranian'
+  num_repeats = 10

sample_prompts.txt

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+d0nk1n Pomeranian

train.bat

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+accelerate launch ^
+  --mixed_precision bf16 ^
+  --num_cpu_threads_per_process 1 ^
+  sd-scripts/flux_train_network.py ^
+  --pretrained_model_name_or_path "C:\Users\sterl\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
+  --clip_l "C:\Users\sterl\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "C:\Users\sterl\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "C:\Users\sterl\pinokio\api\fluxgym.git\models\vae\ae.sft" ^
+  --cache_latents_to_disk ^
+  --save_model_as safetensors ^
+  --sdpa --persistent_data_loader_workers ^
+  --max_data_loader_n_workers 2 ^
+  --seed 42 ^
+  --gradient_checkpointing ^
+  --mixed_precision bf16 ^
+  --save_precision bf16 ^
+  --network_module networks.lora_flux ^
+  --network_dim 4 ^
+  --optimizer_type adafactor ^
+  --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" ^
+  --lr_scheduler constant_with_warmup ^
+  --max_grad_norm 0.0 ^--sample_prompts="C:\Users\sterl\pinokio\api\fluxgym.git\outputs\d0nk1n-pomeranian\sample_prompts.txt" --sample_every_n_steps="160" ^
+  --learning_rate 8e-4 ^
+  --cache_text_encoder_outputs ^
+  --cache_text_encoder_outputs_to_disk ^
+  --fp8_base ^
+  --highvram ^
+  --max_train_epochs 16 ^
+  --save_every_n_epochs 6 ^
+  --dataset_config "C:\Users\sterl\pinokio\api\fluxgym.git\outputs\d0nk1n-pomeranian\dataset.toml" ^
+  --output_dir "C:\Users\sterl\pinokio\api\fluxgym.git\outputs\d0nk1n-pomeranian" ^
+  --output_name d0nk1n-pomeranian ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^