---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- 3D
- Cinematography
- OBJ
widget:
- text: >-
    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.
  output:
    url: images/IS1.png
- text: >-
    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.
  output:
    url: images/IS2.png
- text: >-
    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.
  output:
    url: images/IS3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Isometric 3D Cinematography
license: creativeml-openrail-m
---
![strangerzonehf/Flux-Isometric-3D-Cinematography](images/I3C.png)

<Gallery />

**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
```python
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](/strangerzonehf/Flux-Isometric-3D-Cinematography/tree/main) them in the Files & versions tab.