Features
Cinematography Style and Theme from BladeRunner 2042
Yellow, Dark, and Orange colored themes
Compatible with both T2V & I2V Wan2.2 Models
This LoRA was designed to provide a subtle influence on background, clothing, and scenes
Tips
Play around with LoRA strength below 1.0 if the LoRA is not 'working'.
SPEED LoRAs destroy dark scenes. I was only able to get really dark scenes by not using the popular low step speed LoRAs.
HIGHLY recommend reviewing and understanding how to correctly split steps for Wan2.2 models: https://www.reddit.com/r/StableDiffusion/comments/1mkv9c6/wan22_schedulers_steps_shift_and_noise/?tl=fr
Workflow that correctly splits High / Low noise steps: https://github.com/stduhpf/ComfyUI-WanMoeKSampler
Example prompts. These prompts were used during training for the image/video text captions 'The scene is shrouded in darkness, with only the occasional glow from distant lights piercing the fog', 'a dimly lit room, surrounded by various objects such as a desk, a table, a chair, and a lamp', 'a man in a long coat standing in a dusty, yellow-toned environment. He appears to be observing something off-camera'
Use negative prompts to remove items that keep appearing in the scene. For example, 'tires' when trying to generate a futuristic car that keeps having tires on it! lol
My Wan2.2 Cover Videos
These videos have the ComfyUI metadata saved in them.
Training
Dataset images and video contained scenes without people facing the camera because of Civitai's real person terms of service policy.
I'm testing a fork of musubi-tuner that allows me to run validation tests against a dataset that is not in the training set. This should prevent over-fitting during training. Why validation testing is important: https://github.com/spacepxl/demystifying-sd-finetuning