Instructions to use Fihade/Cinematic_Photography_Qwen_Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fihade/Cinematic_Photography_Qwen_Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Fihade/Cinematic_Photography_Qwen_Image") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Cinematic Photography

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Model description
This LoRA is trained on Qwen-image, designed to bring a cinematic and atmospheric photography style to your generations.It focuses on capturing the mood of film stills โ realistic lighting, immersive depth, and storytelling tones. Perfect for portrait photography, editorial shots, and cinematic concept art.
โจ Key Features:
๐๏ธ Film-like lighting and atmosphere ๐ค Realistic skin tones and detailed portraits ๐ Rich cinematic color grading ๐ท Shallow depth of field & dramatic composition
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Model tree for Fihade/Cinematic_Photography_Qwen_Image
Base model
Qwen/Qwen-Image