strangerzonehf/cinematicShot-Pics-Flux

Prompt

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.

Prompt

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.

Prompt

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.

Prompt

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.

# 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

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 them in the Files & versions tab.