strangerzonehf/Flux-Isometric-3D-Cinematography

Prompt

Isometric 3D Cinematography, a small boy stands in front of a playmat. The playmat is adorned with a variety of toys, including a car, a fire hydrant, and a fireman. The boy is wearing a short-sleeved blue t-shirt, and tan pants. The floor is made of light-colored wood planks, and the walls are painted white. To the right of the boy is a wooden shelf, and to the left of the shelf is a green bench. The shelf is filled with various toys, and there is a window in the background.

Prompt

Isometric 3D Cinematography, An outdoor view of a white dog with a black collar. The dog is facing towards the right side of the image. There is a white building to the right of the dog. There are windows on the building. To the left of the white dog is a tree with yellow leaves on it. The tree is casting a shadow on the ground. The ground is covered with leaves.

Prompt

Isometric 3D Cinematography, An aerial view of a large tree in the middle of a road. The tree is surrounded by small bushes and shrubs. There are two cars parked on the left side of the road. There is a small white house on the right side. The house has a brown roof and white windows. The trees are casting shadows on the ground.

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

strangerzonehf/Flux-Isometric-3D-Cinematography

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	28 & 3900
Epoch	25	Save Every N Epochs	1

Labeling: florence2-en(natural language & English)

Total Images Used for Training : 24

Best Dimensions

• 768 x 1024 (Best)
• 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 = "strangerzonehf/Flux-Isometric-3D-Cinematography"
trigger_word = "Isometric 3D Cinematography"  
pipe.load_lora_weights(lora_repo)

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

Trigger words

You should use Isometric 3D Cinematography to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.