Prompt

Inkk, A black and white portrait of a womans face. The womans head is facing the left side of the frame. Her hair is cut in a bun. Her eyes are wide open. Her eyebrows are black and her lips are painted black. Her mouth is painted white. Her nose is black. She has a black microphone in her mouth. The background is white.

Prompt

Inkk, A black and white drawing of a mans face. The man has a black mustache that is trimmed in black. His eyes are blue and he has black hair. He is wearing a black collar with black stripes on it. He also has earphones in his ears. The background is white.

Prompt

Inkk, A black and white monochromatic portrait of a womans face. The womans head is facing the left side of the frame, her hair cascades over her shoulders. She is wearing a black dress with a white stripe down the center of her neck. Her ear is encased in a silver earring. Her hair is pulled back in a ponytail, adding a pop of color to the scene. The background is a stark white, creating a stark contrast to the womans silhouette.

Model description for Inkk

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	19 & 2770
Epoch	23	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 55

Best Dimensions & Inference

Dimensions	Aspect Ratio	Recommendation
1280 x 832	3:2	Best
1024 x 1024	1:1	Default

Inference Range

• Recommended Inference Steps: 30–35

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 = "strangerzonehf/Inkk"
trigger_word = "Inkk"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Inkk to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.