---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: 'cinematic shot, Captured at eye-level on a cloudy day, a woman stands with her arms outstretched, wearing a brown turtleneck and blue jeans. Her jacket is draped over her shoulders, adding a touch of warmth to her outfit. The jacket is adorned with a white fur trim. The womans hair is pulled back in a ponytail, framing her face. In the distance, a body of water can be seen, with a mountain range in the background.'
  output:
    url: images/1.png
- text: 'cinematic shot, a medium-angle shot captures a young woman seated in a convertible car. She is dressed in a red and blue sweater, a white scarf, and blue jeans. Her left arm is raised above her head, adding a touch of balance to the scene. The cars interior is a deep blue, with a black seat, and a white canopy. The womans gaze is directed towards the left side of the frame, and her left hand is resting on her right arm.'
  output:
    url: images/2.png
- text: 'cinematic shot, Captured at eye-level on a high-angle shot of a young man sitting on the hood of a white sports car. The man is dressed in a black and white jacket, black pants, and white sneakers. His hair is short and dark, and he has a serious expression on his face. The car is adorned with the word Color in bold black letters, and the back of the car is a bright orange. The sky behind the man is a light blue with a few wispy clouds.'
  output:
    url: images/3.png
- text: 'cinematic shot, a medium-sized man stands in the foreground of the frame. He is dressed in a black jacket, black pants, and a black backpack. His hair is short and dark, and hes looking off to the side. The backdrop is a stark white wall, and the ceiling is adorned with metal pipes and beams. To the left of the man, a man with dark hair and glasses is looking off into the distance.'
  output:
    url: images/4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: cinematic shot
license: creativeml-openrail-m
---
![dzsdzsdfgdxcfgd.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/sfTr7x9n4dUxHAj952aVN.png)


<Gallery />
# Model description for cinematicShot-Pics-Flux

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           | 17 & 2600 |
| Epoch                     |  22  | Save Every N Epochs       | 1    |

    Labeling: florence2-en(natural language & English)
    
    Total Images Used for Training : 33

## Best Dimensions & Inference

| **Dimensions** | **Aspect Ratio** | **Recommendation**       |
|-----------------|------------------|---------------------------|
| 1280 x 832      | 3:2              | Best                     |
| 1024 x 1024     | 1:1              | Default                  |

### Inference Range

- **Recommended Inference Steps:** 30–35

## 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/cinematicShot-Pics-Flux"
trigger_word = "cinematic shot"  
pipe.load_lora_weights(lora_repo)

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

## Trigger words

You should use `cinematic shot` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/strangerzonehf/cinematicShot-Pics-Flux/tree/main) them in the Files & versions tab.