---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Red-Undersea
- Red-Theme
- Super-Red
widget:
- text: 'Red Undersea, An eye-level perspective of a 3D image of a Burger. The Burger is in the center of the image, with the Burger on the right side of the frame and the Burger on the left side. There is a blue swirl in the top left corner, and white swirls on the top right corner. There are red swirls in the bottom left corner. The background is a deep blue, and there are small white dots in the middle of the blue swirls. In the bottom right corner, there is a black surface.'
  output:
    url: images/RU1.png
- text: 'Red Undersea, an illustration of a Tree in blue, in the style of glowing neon, with fish fluid formation floating around, witchcore, dark cyan and red, master of shadows, ethereal, ghostly figures '
  output:
    url: images/RU5.png
- text: 'Red Undersea, an illustration of a Candlelight in blue, in the style of glowing neon, with fish fluid formation floating around, witchcore, dark cyan and red, master of shadows, ethereal, ghostly figures '
  output:
    url: images/RU6.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Red Undersea
license: creativeml-openrail-m
---
# Red-Undersea-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/Red-Undersea-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           | 23 & 2600|
| Epoch                     | 12  | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 13 [ Hi-RES ]
    
## 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/Red-Undersea-Flux-LoRA"
trigger_word = "Red Undersea"  
pipe.load_lora_weights(lora_repo)

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

## Trigger words

You should use `Red Undersea` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

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