copycat-flux-lora-training
This is a standard PEFT LoRA derived from black-forest-labs/FLUX.1-dev.
The main validation prompt used during training was:
NSFW, Realistic anime style, Young woman with long red hair and flower hairpin standing on balcony at sunset, looking at viewer with blushing cheeks and wide blue eyes. White ruffled crop top exposing midriff and a white high-waist skirt that that exposes her pussy. No panties, exposed pussy visible. Visible navel. Bottomless with pale thighs and smooth skin. City skyline in background with church spire. Upper body view.
Validation settings
- CFG:
3.5
- CFG Rescale:
0.0
- Steps:
15
- Sampler:
None
- Seed:
42
- Resolution:
768x1368
Note: The validation settings are not necessarily the same as the training settings.
You can find some example images in the following gallery:

- Prompt
- unconditional (blank prompt)
- Negative Prompt
- '

- Prompt
- NSFW, Realistic anime style, Young woman with long red hair and flower hairpin standing on balcony at sunset, looking at viewer with blushing cheeks and wide blue eyes. White ruffled crop top exposing midriff and a white high-waist skirt that that exposes her pussy. No panties, exposed pussy visible. Visible navel. Bottomless with pale thighs and smooth skin. City skyline in background with church spire. Upper body view.
- Negative Prompt
- '
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 39
- Training steps: 1000
- Learning rate: 0.0001
- Effective batch size: 4
- Micro-batch size: 4
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: adamw_bf16
- Precision: Pure BF16
- Quantised: No
- Xformers: Not used
- LoRA Rank: 64
- LoRA Alpha: None
- LoRA Dropout: 0.1
- LoRA initialisation style: default
Datasets
default_dataset_arb
- Repeats: 0
- Total number of images: 97
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
Inference
import torch
from diffusers import DiffusionPipeline
model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'BeetleBonsai798/copycat-flux-lora-training'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)
prompt = "NSFW, Realistic anime style, Young woman with long red hair and flower hairpin standing on balcony at sunset, looking at viewer with blushing cheeks and wide blue eyes. White ruffled crop top exposing midriff and a white high-waist skirt that that exposes her pussy. No panties, exposed pussy visible. Visible navel. Bottomless with pale thighs and smooth skin. City skyline in background with church spire. Upper body view."
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
prompt=prompt,
num_inference_steps=15,
generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
width=768,
height=1368,
guidance_scale=3.5,
).images[0]
image.save("output.png", format="PNG")
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Model tree for BeetleBonsai798/copycat-flux-lora-training
Base model
black-forest-labs/FLUX.1-dev