---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Golden Dust, A close-up shot of a golden retriever dogs face is seen in a vibrant orange hue. The dogs fur is a mix of brown and white, and the dogs nose is a darker shade of brown. Its eyes are a deep brown, and its ears are a lighter brown. The background is blurred, and there are small orange dots dotting the fur around its neck, adding a festive touch to the scene.'
  output:
    url: images/GD1.png
- text: 'Golden Dust, A close-up view of a cheeseburger on a table. The hamburger is made up of a dark brown bun, with a layer of melted cheese on top of it. The cheese is a bright yellow, and there is a red sauce dripping from the bun. The bun is adorned with sesame seeds, adding a touch of sparkle to the scene. The table under the hamburger, is a dark wooden table, and the lighting is subdued, creating a stark contrast to the burger.'
  output:
    url: images/GD2.png
- text: 'Golden Dust, A close-up eye-level shot of a womans face, adorned with sparkles of golden light. The womans eyes are adorned with green eyes, adding a pop of color to the scene. Her eyebrows are a darker shade of brown, while her eyelashes are a lighter shade of green. Her lips are a vibrant shade of red, her nose is adorned with a light pink tint. Her hair is a dark brown, wavy, and she has long bangs. The background is dark, creating a stark contrast to her face.'
  output:
    url: images/GD3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Golden Dust
license: creativeml-openrail-m
---
# Golden-Dust-Flux-LoRA

<Gallery />

- Hosted Here🧨: https://huggingface.co./spaces/prithivMLmods/FLUX-LoRA-DLC

**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**

## Model description 

**prithivMLmods/Golden-Dust-Flux-LoRA**

Image Processing Parameters 

| Parameter                 | Value  | Parameter                 | Value  |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler              | constant | Noise Offset              | 0.03   |
| Optimizer                 | AdamW  | Multires Noise Discount   | 0.1    |
| Network Dim               | 64     | Multires Noise Iterations | 10     |
| Network Alpha             | 32     | Repeat & Steps           | 25 & 2500|
| Epoch                     | 15  | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 17 [ Hi-RES ]

## Other Sample Image

![prithivMLmods/Golden-Dust-Flux-LoRA](images/GD4.png))

## Best Dimensions

- 1024 x 1024 (Default)
  
## Setting Up
```
import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Golden-Dust-Flux-LoRA"
trigger_word = "Golden Dust"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```
## Data source
    
    - https://freeflo.ai/

## Trigger words

You should use `Golden Dust` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Golden-Dust-Flux-LoRA/tree/main) them in the Files & versions tab.