metadata
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
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 them in the Files & versions tab.