Shadow-Projection-Flux-LoRA

Prompt

Shadow Projection, a close-up shot of a womans face is visible. Her eyes are a piercing blue, and her eyelashes are a darker shade of blue. Her eyebrows are a dark brown, and she has long, wavy brown hair. Her lips are a lighter shade of brown, with a slight smile on her lips. The womans eyebrows are dark, adding a touch of depth to her face. The background is blurred, and the womans shadow is cast on the right side of the frame.

Prompt

Shadow Projection, Captured from a close-up, eye-level perspective, a medium-sized boy with dark brown eyes and dark brown hair stands in front of a window. The boys face is angled slightly to the left, with a slight smile on his lips. His eyes are a piercing blue, and his eyebrows are a darker brown. His lips are a lighter shade of brown, and he is wearing a plaid shirt with a white collar. The background of the boy is blurred, and the boys shadow is cast on the window.

Prompt

Shadow Projection, A close-up shot of a mans face is captured in a low-angle perspective. The mans eyes are a piercing blue, and his eyebrows are a darker shade of brown. His lips are a lighter shade of pink, and he has a brown mustache and goatee. He is wearing a brown jacket, and the background is blurred.

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/Shadow-Projection-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	26 & 3200
Epoch	16	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 15 [ 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/Shadow-Projection-Flux-LoRA"
trigger_word = "Shadow Projection"  
pipe.load_lora_weights(lora_repo)

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