metadata

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: >-
      abandoned places A steady zoom-out tall abandoned building covered in
      vines and trees stands in the middle of an abandoned city. The sky is
      overcast and the air is thick with fog. The city is mostly obscured by the
      fog, but you can see some other buildings in the distance. There is a
      sense of decay and abandonment in the image.
    output:
      url: example_videos/1.mp4
  - text: >-
      abandoned places A steady zoom-in to An old, rusty car, partially obscured
      by vegetation, sits in the middle of a dense forest. The car's body is a
      faded light blue color, with a rusted hood and roof. The car's door is
      open and the interior is dark and dusty. The windows are all broken and
      the seats are torn. The car is surrounded by tall trees and thick bushes.
      The ground is covered in leaves and debris. The overall atmosphere is one
      of decay and neglect.
    output:
      url: example_videos/2.mp4
  - text: >-
      abandoned places A grand, abandoned mansion, with peeling paint and broken
      windows, stands in a grove of overgrown trees. The front steps are
      crumbling and the driveway is cracked. The sky is overcast.
    output:
      url: example_videos/3.mp4
  - text: >-
      abandoned places A steady zoom-out from the center of an abandoned
      industrial complex, where a single rusted smokestack stands tall against
      the cloudy sky. The camera moves back, revealing a network of crumbling
      buildings and broken glass windows. The sound of distant thunder rumbles
      as the wind kicks up dust and loose debris.
    output:
      url: example_videos/4.mp4

Abandoned Places LoRA for Wan2.1 14B T2V

Overview

This LoRA is trained on the Wan2.1 14B T2V model and allows you to generate videos of abandoned places!

Features

Trained on the Wan2.1 14B T2V base model
Consistent results across different object and scenes types
Simple prompt examples that are easy to adapt

Community

Discord: Join our community to generate videos with this LoRA for free
Request LoRAs: We're training and open-sourcing Wan2.1 LoRAs for free - join our Discord to make requests!

Prompt: abandoned places A steady zoom-out tall abandoned building covered in vines and trees stands in the middle of an abandoned city. The sky is overcast and the air is thick with fog. The city is mostly obscured by the fog, but you can see some other buildings in the distance. There is a sense of decay and abandonment in the image.

Prompt: abandoned places A steady zoom-in to An old, rusty car, partially obscured by vegetation, sits in the middle of a dense forest. The car's body is a faded light blue color, with a rusted hood and roof. The car's door is open and the interior is dark and dusty. The windows are all broken and the seats are torn. The car is surrounded by tall trees and thick bushes. The ground is covered in leaves and debris. The overall atmosphere is one of decay and neglect.

Prompt: abandoned places A grand, abandoned mansion, with peeling paint and broken windows, stands in a grove of overgrown trees. The front steps are crumbling and the driveway is cracked. The sky is overcast.

Prompt: abandoned places A steady zoom-out from the center of an abandoned industrial complex, where a single rusted smokestack stands tall against the cloudy sky. The camera moves back, revealing a network of crumbling buildings and broken glass windows. The sound of distant thunder rumbles as the wind kicks up dust and loose debris.

Model File and Inference Workflow

📥 Download Links:

abandoned_50_epochs.safetensors - LoRA Model File
wan_txt2vid_lora_workflow.json - Wan T2V with LoRA Workflow for ComfyUI

Recommended Settings

LoRA Strength: 1.0
Embedded Guidance Scale: 6.0
Flow Shift: 5.0

Trigger Words

The key trigger phrase is: abandoned places

Prompt Template

For prompting, check out the example prompts; this way of prompting seems to work very well.

ComfyUI Workflow

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.

Model Information

The model weights are available in Safetensors format. See the Downloads section above.

Training Details

Base Model: Wan2.1 14B T2V
Training Data: Trained on 6 minutes of video comprised of 98 short clips (each clip captioned separately) of various clips of abandoned places.
Epochs: 50

Additional Information

Training was done using Diffusion Pipe for Training

Acknowledgments

Special thanks to Kijai for the ComfyUI Wan Video Wrapper and tdrussell for the training scripts!