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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/jerome-v2_001600_00_20250912200658.png
+    text: Medium portrait of jer0me man sitting in a cozy living room, holding a cup
+        of coffee with a relaxed expression. Soft morning light streams in from a
+        large window, creating gentle highlights. Shot on an 85mm lens, f/1.8, shallow
+        depth of field, warm and inviting color grading, photorealistic.
+-   output:
+        url: sample/jerome-v2_001600_01_20250912200702.png
+    text: Artistic black and white close-up portrait of jer0me man, pensive expression.
+        Dramatic Rembrandt lighting creating strong contrast on one side of his face.
+        Shot against a solid black background, 85mm lens, f/2.2, high detail, sharp
+        focus on the eyes, clean detailed skin, designer stubble
+-   output:
+        url: sample/jerome-v2_001600_02_20250912200706.png
+    text: Candid medium portrait of jer0me man on a mountain trail, taking a break
+        with a lush green forest in the background. Natural golden hour lighting filters
+        through the trees, creating a warm glow. Shot on a 35mm lens, f/2.0, beautiful
+        bokeh background, authentic lifestyle photography.
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: jer0me
+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
+---
+
+# Jerome-v2
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `jer0me` 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 = 1024
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = '/app/fluxgym/datasets/jerome-v2'
+  class_tokens = 'jer0me'
+  num_repeats = 10

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sample_prompts.txt

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+Medium portrait of jer0me man sitting in a cozy living room, holding a cup of coffee with a relaxed expression. Soft morning light streams in from a large window, creating gentle highlights. Shot on an 85mm lens, f/1.8, shallow depth of field, warm and inviting color grading, photorealistic.
+Artistic black and white close-up portrait of jer0me man, pensive expression. Dramatic Rembrandt lighting creating strong contrast on one side of his face. Shot against a solid black background, 85mm lens, f/2.2, high detail, sharp focus on the eyes, clean detailed skin, designer stubble
+Candid medium portrait of jer0me man on a mountain trail, taking a break with a lush green forest in the background. Natural golden hour lighting filters through the trees, creating a warm glow. Shot on a 35mm lens, f/2.0, beautiful bokeh background, authentic lifestyle photography.

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/bdsqlsz/flux1-dev2pro-single/flux1-dev2pro.safetensors" \
+  --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 8721577 \
+  --gradient_checkpointing \
+  --mixed_precision bf16 \
+  --save_precision bf16 \
+  --network_module networks.lora_flux \
+  --network_dim 8 \
+  --optimizer_type adamw8bit \--sample_prompts="/app/fluxgym/outputs/jerome-v2/sample_prompts.txt" --sample_every_n_steps="200" \
+  --learning_rate 6e-4 \
+  --cache_text_encoder_outputs \
+  --cache_text_encoder_outputs_to_disk \
+  --fp8_base \
+  --highvram \
+  --max_train_epochs 11 \
+  --save_every_n_epochs 4 \
+  --dataset_config "/app/fluxgym/outputs/jerome-v2/dataset.toml" \
+  --output_dir "/app/fluxgym/outputs/jerome-v2" \
+  --output_name jerome-v2 \
+  --timestep_sampling shift \
+  --discrete_flow_shift 3.1582 \
+  --model_prediction_type raw \
+  --guidance_scale 1 \
+  --loss_type l2 \
+  --network_alpha 8