README.md

---
license: other
base_model: "black-forest-labs/FLUX.1-dev"
tags:
  - flux
  - flux-diffusers
  - text-to-image
  - diffusers
  - simpletuner
  - safe-for-work
  - lora
  - template:sd-lora
  - standard
inference: true
widget:
- text: 'unconditional (blank prompt)'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_0_0.png
- text: 'Distinguished Gentleman'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_1_0.png
- text: 'A highly detailed portrait of a distinguished man in his 50s with sharp features and piercing blue eyes, wearing a tailored suit, set in a classic study, photorealistic, 8k resolution, dramatic lighting, oil painting style'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_2_0.png
- text: 'Graceful Dancer'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_3_0.png
- text: 'An artistic depiction of a graceful woman dancing under the moonlight in a serene forest, wearing a flowing white dress, soft lighting, dreamy atmosphere, high resolution, intricate details, impressionist style'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_4_0.png
- text: 'Tommy Chong Portrait'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_5_0.png
- text: 'A realistic portrait of Tommy Chong smiling warmly, wearing his signature bandana and glasses, in a relaxed setting, high detail, photorealistic, 8k resolution, natural lighting'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_6_0.png
- text: 'Cheech Marin Portrait'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_7_0.png
- text: 'A high-definition portrait of Cheech Marin with a mischievous grin, wearing a colorful shirt, set against a lively urban backdrop, photorealistic, ultra-detailed, vibrant colors'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_8_0.png
- text: 'Cheech and Chong Duo'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_9_0.png
- text: 'Cheech Marin and Tommy Chong standing together, smiling, iconic pose'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_10_0.png
- text: 'Cheech and Chong Journey'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_11_0.png
- text: 'An intricate scene of Cheech Marin and Tommy Chong driving a vintage van along a coastal highway at sunset, laughing and enjoying the journey, highly detailed, cinematic lighting, 8k resolution, dynamic angle'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_12_0.png
- text: 'Adventurous Explorer'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_13_0.png
- text: 'An epic scene of a rugged man standing atop a snow-capped mountain peak at sunrise, windswept hair, determined gaze, holding a vintage compass, surrounded by breathtaking landscapes, ultra-realistic, high dynamic range, panoramic view'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_14_0.png
- text: 'Ethereal Ballerina'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_15_0.png
- text: 'A captivating image of a ballerina performing on a grand stage, illuminated by soft golden lights, wearing a delicate tutu, graceful pose, photorealistic, high resolution, dreamlike atmosphere'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_16_0.png
- text: 'Comedy Duo Live'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_17_0.png
- text: 'Cheech and Chong performing live on stage with microphones, energetic crowd, spotlight on them, vibrant colors, high-definition'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_18_0.png
- text: 'Retro Duo Poster'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_19_0.png
- text: 'A retro-style movie poster featuring Cheech Marin and Tommy Chong in a comedic pose, bold colors, vintage fonts, high detail, artistic illustration, 1970s aesthetic'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_20_0.png
- text: 'tommy chong sitting to the left of cheech marin'
  parameters:
    negative_prompt: 'blurry, cropped, ugly'
  output:
    url: ./assets/image_21_0.png
---

# flux-LoRA-r16-SOAP-4e-4-bs4

This is a standard PEFT 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:



```
tommy chong sitting to the left of cheech marin
```

## Validation settings
- CFG: `3.0`
- CFG Rescale: `0.0`
- Steps: `20`
- Sampler: `None`
- Seed: `42`
- Resolution: `512x512`

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: 12
- Training steps: 1000
- Learning rate: 0.0008
- 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: soap
- Precision: Pure BF16
- Quantised: Yes: int8-quanto
- Xformers: Not used
- LoRA Rank: 16
- LoRA Alpha: None
- LoRA Dropout: 0.1
- LoRA initialisation style: default
    

## Datasets

### cheechandchong-512
- Repeats: 10
- Total number of images: 17
- Total number of aspect buckets: 3
- Resolution: 0.262144 megapixels
- 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 = 'bghira/flux-LoRA-r16-SOAP-4e-4-bs4'
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.load_lora_weights(adapter_id)

prompt = "tommy chong sitting to the left of cheech marin"

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")
```