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---
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
---
<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.
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