--- license: apache-2.0 language: - en base_model: - Wan-AI/Wan2.1-T2V-14B pipeline_tag: text-to-video tags: - text-to-video - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: >- C783rpu5k Cyberpunk 2077 style, the camera slowly moves through a crowded marketplace filled with holographic vendors. output: url: example_videos/1.mp4 - text: >- C783rpu5k Cyberpunk 2077 style, a rooftop view of a dark, rainy city, with a character smoking a cigarette. output: url: example_videos/2.mp4 - text: >- C783rpu5k Cyberpunk 2077 style, a rooftop scene overlooking the city, with a single cybernetic raven perched on the ledge. Its metallic wings twitch slightly as the distant hum of a passing air taxi echoes across the skyline. output: url: example_videos/3.mp4 - text: >- C783rpu5k Cyberpunk 2077 style, a mid-range shot of a futuristic marketplace in a neon-drenched urban district. The scene is packed with small shops selling cybernetic implants, exotic street food, and black-market tech. A robotic street performer plays music as passersby walk under the glow of neon lanterns. output: url: example_videos/4.mp4 ---
This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos in the cinematic and artistic style of Cyberpunk 2077!
The key trigger phrase is: C783rpu5k Cyberpunk 2077 style
For prompting, check out the example prompts; this way of prompting seems to work very well.
This LoRA works with a modified version of Kijai's Wan Video Wrapper workflow. The main modification is adding a Wan LoRA node connected to the base model.
See the Downloads section above for the modified workflow.
The model weights are available in Safetensors format. See the Downloads section above.
Training was done using Diffusion Pipe for Training
Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!