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---
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
---
<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. |