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---
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. |