README.md

---
license: creativeml-openrail-m
base_model: "black-forest-labs/FLUX.1-dev"
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - simpletuner
  - lora
  - template:sd-lora
inference: true

---

# flux-dreambooth-lora-r128-dev-reddit

This is a LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co./black-forest-labs/FLUX.1-dev).



The main validation prompt used during training was:



```
a fully-clothed photograph of an adult woman, in photograph style
```

## Validation settings
- CFG: `3.0`
- CFG Rescale: `0.0`
- Steps: `20`
- Sampler: `None`
- Seed: `420420420`
- Resolutions: `1024x1024,1280x768,960x1152`

Note: The validation settings are not necessarily the same as the [training settings](#training-settings).




<Gallery />

The text encoder **was not** trained.
You may reuse the base model text encoder for inference.


## Training settings

- Training epochs: 1
- Training steps: 9000
- Learning rate: 4e-05
- Effective batch size: 8
  - Micro-batch size: 8
  - Gradient accumulation steps: 1
  - Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: adamw_bf16
- Precision: bf16
- Quantised: No
- Xformers: Not used
- LoRA Rank: 128
- LoRA Alpha: 128.0
- LoRA Dropout: 0.1
- LoRA initialisation style: default


## Datasets

### normalnudes
- Repeats: 0
- Total number of images: 1112
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: True
- Crop style: random
- Crop aspect: random
### nsfw-1024
- Repeats: 0
- Total number of images: 10816
- Total number of aspect buckets: 1
- Resolution: 512 px
- Cropped: True
- Crop style: random
- Crop aspect: square
### shutterstock
- Repeats: 0
- Total number of images: 21072
- Total number of aspect buckets: 1
- Resolution: 512 px
- Cropped: True
- Crop style: random
- Crop aspect: square
### normalnudes-1024
- Repeats: 0
- Total number of images: 1048
- Total number of aspect buckets: 15
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### nsfw-1024px
- Repeats: 0
- Total number of images: 10776
- Total number of aspect buckets: 5
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### shutterstock-1024
- Repeats: 0
- Total number of images: 20960
- Total number of aspect buckets: 13
- Resolution: 1.048576 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### julia
- Repeats: 0
- Total number of images: 32
- Total number of aspect buckets: 1
- Resolution: 512 px
- Cropped: True
- Crop style: random
- Crop aspect: square
### riverphoenix
- Repeats: 0
- Total number of images: 24
- Total number of aspect buckets: 1
- Resolution: 512 px
- Cropped: True
- Crop style: random
- Crop aspect: square


## Inference


```python
import torch
from diffusers import DiffusionPipeline

model_id = 'black-forest-labs/FLUX.1-dev'
adapter_id = 'ptx0/flux-dreambooth-lora-r128-dev-reddit'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "a fully-clothed photograph of an adult woman, in photograph style"


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=20,
    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
    width=1024,
    height=1024,
    guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")
```