3D-Render-Flux-LoRA

Prompt

3D Portrait, An eye-level perspective, a close-up of a young childs face, is depicted in a multi-colored, monochromatic fashion. The childs eyes are a piercing blue, and her hair is a vibrant shade of green, with a mix of brown and orange highlights. Her hair is pulled back in a ponytail, adding a pop of color to the scene. She is wearing a white turtleneck, and the background is a pale purple. Her eyebrows are a darker shade of brown, while her lips are a lighter shade of blue. Her nose is adorned with a tiny red dot.

Prompt

3D Portrait, A detailed close-up of a cats face, adorned with a vibrant pink hue. The cats whiskers, adding a pop of color to the scene. The background is a deep purple, creating a stark contrast to the cats fur. The cats eyes are open, as if they are looking to the right. The ears of the cat are pointed, adding to the overall composition of the image.

Prompt

3D Portrait, 3d render of a Hamburger, in the style of light magenta and light green, macro lens, light purple and light gold, pastelcore, characterful portraits, zbrush, 3d render, unreal engine

• 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/3D-Render-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	27 & 3000
Epoch	15	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 19 [ 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/3D-Render-Flux-LoRA"
trigger_word = "3D Portrait, 3d render"  
pipe.load_lora_weights(lora_repo)

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

Data source

- https://freeflo.ai/

Trigger words

You should use 3D Portrait, 3d render to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.