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README.md

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----
-tags:
-- text-to-image
-- lora
-- diffusers
-- template:diffusion-lora
-widget:
-- text: a sexy woman
-  output:
-    url: images/photo_2024-10-02_13-30-58.jpg
-base_model: black-forest-labs/FLUX.1-dev
-instance_prompt: null
-license: unknown
----
-# uncensored-mini
-
-<Gallery />
-
-## Model description 
-
-éo hiểu kiểu gì
-
-
-## Download model
-
-Weights for this model are available in Safetensors format.
-
-[Download](/anthienlong/prashanth970-uncensored/tree/main) them in the Files & versions tab.
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+
+
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: porn , nude , sex , boobs , 
+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
+---
+
+# Flux_LoRA-uncensored
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `porn , nude , sex , boobs , ` 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.
+

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 = '/app/fluxgym/datasets/flux-lora-uncensored'
+  class_tokens = 'porn , nude , sex , boobs , '
+  num_repeats = 10

sample_prompts.txt

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+porn , nude , sex , boobs ,  without cloths , pussy , nudes , remove cloths , vegina

train.sh

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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 "/app/fluxgym/models/unet/flux1-dev.sft" \
+  --clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \
+  --t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \
+  --ae "/app/fluxgym/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 adamw8bit \
+  --learning_rate 8e-4 \
+  --cache_text_encoder_outputs \
+  --cache_text_encoder_outputs_to_disk \
+  --fp8_base \
+  --highvram \
+  --max_train_epochs 5 \
+  --save_every_n_epochs 4 \
+  --dataset_config "/app/fluxgym/outputs/flux-lora-uncensored/dataset.toml" \
+  --output_dir "/app/fluxgym/outputs/flux-lora-uncensored" \
+  --output_name flux-lora-uncensored \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \