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
widget:
- text: 'unconditional (blank prompt)'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_0_0.png
- text: 'a breathtaking anime-style portrait of Julia, capturing her essence with vibrant colors and expressive features'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_1_0.png
- text: 'a high-quality, detailed photograph of Julia as a sous-chef, immersed in the art of culinary creation'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_2_0.png
- text: 'a lifelike and intimate portrait of Julia, showcasing her unique personality and charm'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_3_0.png
- text: 'a cinematic, visually stunning photo of Julia, emphasizing her dramatic and captivating presence'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_4_0.png
- text: 'an elegant and timeless portrait of Julia, exuding grace and sophistication'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_5_0.png
- text: 'a dynamic and adventurous photo of Julia, captured in an exciting, action-filled moment'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_6_0.png
- text: 'a mysterious and enigmatic portrait of Julia, shrouded in shadows and intrigue'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_7_0.png
- text: 'a vintage-style portrait of Julia, evoking the charm and nostalgia of a bygone era'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_8_0.png
- text: 'an artistic and abstract representation of Julia, blending creativity with visual storytelling'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_9_0.png
- text: 'a futuristic and cutting-edge portrayal of Julia, set against a backdrop of advanced technology'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_10_0.png
- text: 'a beautifully crafted portrait of a woman, highlighting her natural beauty and unique features'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_11_0.png
- text: 'a powerful and striking portrait of a man, capturing his strength and character'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_12_0.png
- text: 'a playful and spirited portrait of a boy, capturing youthful energy and innocence'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_13_0.png
- text: 'a charming and vibrant portrait of a girl, emphasizing her bright personality and joy'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_14_0.png
- text: 'a heartwarming and cohesive family portrait, showcasing the bonds and connections between loved ones'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_15_0.png
- text: 'a charming and warm photograph of river phoenix at the beach on a sunny day'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_16_0.png
- text: 'river phoenix sitting in a roller coaster car, looking like he is enjoying the day at the theme park'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_17_0.png
- text: 'a photograph of a juggalo that is river phoenix'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_18_0.png
- text: 'julie, in photograph style'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_19_0.png
---

# flux-dreambooth-lora-r16-dev-cfg1

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:



```
julie, in photograph style
```

## Validation settings
- CFG: `3.0`
- CFG Rescale: `0.0`
- Steps: `20`
- Sampler: `None`
- Seed: `420420420`
- Resolution: `512`

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

You can find some example images in the following gallery:


<Gallery />

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


## Training settings

- Training epochs: 130
- Training steps: 3000
- Learning rate: 0.0001
- 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
- Xformers: Not used
- LoRA Rank: 16
- LoRA Alpha: 16.0
- LoRA Dropout: 0.1
- LoRA initialisation style: default


## Datasets

### 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 = 'flux-dreambooth-lora-r16-dev-cfg1'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "julie, 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=512,
    height=512,
    guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")
```