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Orange-Chroma-Flux-LoRA

Prompt
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.
Prompt
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.
Prompt
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.

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.

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Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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