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---
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: 2
- Training steps: 44500
- Learning rate: 4e-05
- Effective batch size: 2
- Micro-batch size: 1
- Gradient accumulation steps: 2
- Number of GPUs: 1
- Prediction type: flow-matching
- Rescaled betas zero SNR: False
- Optimizer: AdamW, stochastic bf16
- Precision: Pure 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: 1124
- 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: 21076
- Total number of aspect buckets: 1
- Resolution: 512 px
- Cropped: True
- Crop style: random
- Crop aspect: square
### julia
- Repeats: 0
- Total number of images: 34
- Total number of aspect buckets: 1
- Resolution: 512 px
- Cropped: True
- Crop style: random
- Crop aspect: square
### riverphoenix
- Repeats: 0
- Total number of images: 12
- 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")
```
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