prithivMLmods/Flux-Realism-FineDetailed

Flux-Realism-FineDetailed - B+ 20

Prompt

Fine Detailed, A half Body Photo of a beautiful brunette Scottish girl, green eyes, messy beehive hair style, natural skin complexion, slim with curves, tartan shirt, outdoor background, soft lighting, captured by {randomly selected} photographer. This image looks glamorous and elegant in style and outdoor background that was recognized as a contest winner. It has been featured on CG Society. Cinematic

Prompt

Fine Detailed, A close-up shot of a medium-sized man with medium-length brown hair and a goatee. His eyes are a piercing blue, and his eyebrows are a darker shade of brown. He is wearing a brown jacket over a white t-shirt, and a gray sweater with a zipper on the right side of the jacket. The background is blurred, and the lighting is soft, creating a soft focus on the mans face.

Prompt

Fine Detailed, A woman with long red hair, wearing a fur coat, standing outdoors in snowy Red Square, Moscow, with iconic colorful domes in the background. She faces slightly sideways, looking directly at the camera with a calm expression.

• 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/Flux-Realism-FineDetailed

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	28 & 3400
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 27 

Realism LoRA In-Image

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/Flux-Realism-FineDetailed"
trigger_word = "Fine Detailed"  
pipe.load_lora_weights(lora_repo)

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

Trigger words 🧨

Trigger words: You should use Fine Detailed to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.