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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/camberganng_001600_00_20240918033342.png
+    text: CMBER a 2010's Rolls Royce Phantom with camber suspension
+-   output:
+        url: sample/camberganng_001600_01_20240918033559.png
+    text: CMBER a UPS Delivery truck with camber suspension, parked for a photoshoot
+-   output:
+        url: sample/camberganng_001600_02_20240918033816.png
+    text: CMBER a FedEx Delivery truck with camber suspension
+-   output:
+        url: sample/camberganng_001600_03_20240918034031.png
+    text: CMBER a DeLorean time machine from back to the future movie
+-   output:
+        url: sample/camberganng_001600_04_20240918034247.png
+    text: CMBER a an ice cream truck, with camber suspension
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: CMBER
+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
+---
+
+# camberganng
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `CMBER` 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.
+

camberganng-000004.safetensors

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+oid sha256:76e17011301fcb57e544bf39a20f6e0f74338d62bd50afd56464a76f0d504f5b
+size 18215692

camberganng-000008.safetensors

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+oid sha256:86275d2d65af3ec1dc5baa75b49f3648157a457cb8c4b8cbc3cb7f92ceed4784
+size 18215692

camberganng-000012.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5fb74c64288b2bf471f8881712b71ed9ebb992dd79655f9d2853762fc9a693dd
+size 18215692

camberganng.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f38a4d6b1f5c7c12edbc9954c17e0926930d5a20c6683cadf16aafeacc9980c1
+size 18215700

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 = 'E:\AIOne\pinokio\api\fluxgym.git\datasets\camberganng'
+  class_tokens = 'CMBER'
+  num_repeats = 8

sample_prompts.txt

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+CMBER a 2010's Rolls Royce Phantom with camber suspension
+CMBER a UPS Delivery truck with camber suspension, parked for a photoshoot
+CMBER a FedEx Delivery truck with camber suspension
+CMBER a DeLorean time machine from back to the future movie
+CMBER a an ice cream truck, with camber suspension

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 "E:\AIOne\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
+  --clip_l "E:\AIOne\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "E:\AIOne\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "E:\AIOne\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" ^
+  --split_mode ^
+  --network_args "train_blocks=single" ^
+  --lr_scheduler constant_with_warmup ^
+  --max_grad_norm 0.0 ^--sample_prompts="E:\AIOne\pinokio\api\fluxgym.git\outputs\camberganng\sample_prompts.txt" --sample_every_n_steps="200" ^
+  --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 4 ^
+  --dataset_config "E:\AIOne\pinokio\api\fluxgym.git\outputs\camberganng\dataset.toml" ^
+  --output_dir "E:\AIOne\pinokio\api\fluxgym.git\outputs\camberganng" ^
+  --output_name camberganng ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^