metadata
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
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.