---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'Orange Chroma, a close-up shot of a womans face is adorned with shiny silver paint. The womans eyes are covered in a shiny, reflective paint, adding a touch of sparkle to her face. Her hair is a vibrant shade of brown, cascading down her shoulders. She is wearing a white collared shirt, adorned with a white collar and a shiny red cape. Her lips are painted a darker shade of pink, while her hair is styled in a wavy bob. The background is a deep orange, creating a vibrant contrast to the womans skin.'
  output:
    url: images/OC1.png
- text: 'Orange Chroma, A close-up of a cats face, the cats eyes are a piercing blue. The cats whiskers are long and white, adding a touch of color to the scene. The background is a vibrant orange, creating a striking contrast with the cat and its vibrant colors.'
  output:
    url: images/OC2.png
- text: 'Orange Chroma, A close-up eye-level shot of a young mans face, adorned with a vibrant blue wig. The wigs bangs are a mix of pink, blue, and purple, adding a pop of color to the scene. The mans eyes are a piercing blue, while his lips are a lighter shade of green. He is wearing a colorful shirt with a pattern of red, yellow, and green. The background is a vibrant orange, creating a striking contrast to the mans head.'
  output:
    url: images/OC3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Orange Chroma
license: creativeml-openrail-m
---
# Orange-Chroma-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/Orange-Chroma-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 & 2K|
| Epoch                     | 14  | Save Every N Epochs       | 1      |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 17 [ 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/Orange-Chroma-Flux-LoRA"
trigger_word = "Orange Chroma"  
pipe.load_lora_weights(lora_repo)

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


## Trigger words

You should use `Orange Chroma` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

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