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	14 & 2200
Epoch	10	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 16

Best Dimensions

768 x 1024 (Best)
1024 x 1024 (Default)

Setting Up

python

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/Flux.1-Dev-Frosted-Container-LoRA"
trigger_word = "frosted GC"  
pipe.load_lora_weights(lora_repo)

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

Other Sample Image

Trigger words

You should use frosted GC to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.