---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- 3D Portrait
- 3D render
widget:
- text: >-
    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.
  output:
    url: images/3D1.png
- text: >-
    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.
  output:
    url: images/3D2.png
- text: >-
    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 
  output:
    url: images/3D3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 3D Portrait
license: creativeml-openrail-m
---
# 3D-Render-Flux-LoRA

<Gallery />

- 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](/prithivMLmods/3D-Render-Flux-LoRA/tree/main) them in the Files & versions tab.