Dark Gloomy Cinematic Backgrounds - v1
(Filename: dark-gloomy-v1.safetensors — already great and SEO-friendly)

📝 Full Description (Civitai)

“Dark Gloomy Cinematic Backgrounds - v1” is a LoRA trained on over 6,000 carefully curated images to create rich, atmospheric backgrounds with a moody, cinematic tone. Whether you're rendering nighttime city streets, eerie forests, or desolate roads under moonlight, this LoRA brings your scene to life with deep shadows, dramatic lighting, and a haunting mood.

This LoRA is designed specifically for backgrounds, not characters. It performs best in prompts that focus on dark, atmospheric, and outdoor scenery.

🔮 What It’s Good At

• Cinematic environments with a gloomy or haunted aesthetic

• Dark forests, moonlit roads, quiet cities at night

• Strong sense of atmosphere and emotional tone

• Complements portrait or character LoRAs to set mood

⚠️ Limitations

• Not intended for NSFW or character-focused generation

• Works best when used as a background style enhancer

🔁 Example Prompts:

1. Cinematic photo of a woman walking alone, wearing a hooded coat, misty surroundings, slow motion movement, medium shot, dark forest background, low lighting with fog, back angle, 50mm lens, in style of Gregory Crewdson, <lora:dark-gloomy-v1:0.8>

2. Night photo of an empty street, wet pavement, old street lights glowing dimly, urban silence, symmetrical framing, dark city background, ambient lighting, eye level angle, in style of Edward Hopper, <lora:dark-gloomy-v1:0.8>

3. Wide cinematic shot of a lone car parked under a tree, fallen leaves scattered, quiet atmosphere, slightly tilted frame, moonlit forest background, high contrast shadows, drone angle, in style of Roger Deakins, <lora:dark-gloomy-v1:0.8>

⚙️ Training Details

• Base Model: Stable Diffusion v1.5 (runwayml)

• Resolution: Bucketed (512x768 max)

• Steps: 6125

• Epochs: 10

• Dataset Size: 6125 images

• Clip Skip: 2

• LoRA Module: networks.lora

• Date Trained: July 8, 2025

🎚️ Recommended LoRA Weight

Start with 0.8, but it works well between 0.4 – 1.2 depending on prompt and composition.