Knitted-Character-Flux-LoRA

Prompt

Knitted Character, A close-up view of a crocheted toy. The toy is made up of a blend of orange, yellow, and pink yarn. It has a black button in the center of its head. The background is a solid white color.

Prompt

Knitted Character, a crocheted doll stands on a wooden platform. The dolls head is encased in a multi-colored knit outfit, adorned with a pair of dark-colored goggles. The eyes are tinted blue, adding a pop of color to the scene. The figures arms and legs are positioned in a way that creates a sense of balance. The background is a stark white, creating a stark contrast to the figure.

Prompt

Knitted Character, A close-up view of a knitted cat toy. The toy is a gray and white striped cat with blue eyes. The cats nose is pink. Its eyes are a piercing blue color. Its ears are made of gray yarn. Its whiskers are black and white. Its paws are knitted with white yarn. The background is a solid white color.

• 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/Knitted-Character-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	20 & 2000
Epoch	10	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 30 [ 4K 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/Knitted-Character-Flux-LoRA"
trigger_word = "Knitted Character"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Knitted Character to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.