---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Yellow
- Lasers
- Flare
widget:
- text: 'Yellow Lasers, Captured at eye-level on a low-angle perspective, a night-time shot captures a glowing figure of a person running on a wet concrete surface. The figure is adorned with a helmet, adorned with white dots, and a long line of light trails behind it, adding a touch of movement to the scene. The background is a deep black, creating a stark contrast to the figure.'
  output:
    url: images/YL1.png
- text: 'Yellow Lasers, a black and white cat stands on its hind legs, facing the left side of the frame. The cats back is facing the viewer, its front paws are raised in the air, while its tail is stretched out in front of it. The background is dark, creating a stark contrast to the cats body and the lights in the background, adding a touch of color to the scene.'
  output:
    url: images/YL2.png
- text: 'Yellow Lasers, Captured from a low-angle perspective on a dark stage, a white bicycle is positioned in the center of the frame. The bicycle is adorned with two white lights, one on each side of its body and the other on the back. The bike is positioned on two metal stands, creating a stark contrast against the backdrop of the stage. Two men are standing on the left side of the image, facing away from the camera on the right side. They are dressed in dark clothing, with hats on their heads. A long black cord is stretched across the stage, adding a touch of contrast to the scene.'
  output:
    url: images/YL3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Yellow Lasers
license: creativeml-openrail-m
---
# Yellow-Laser-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/Yellow-Laser-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           | 20 & 2000|
| Epoch                     | 10  | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 13 
    
## 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/Yellow-Laser-Flux-LoRA"
trigger_word = "Yellow Lasers"  
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```

## Trigger words

You should use `Yellow Lasers` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

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