metadata

datasets:
  - Wild-Heart/Disney-VideoGeneration-Dataset
base_model:
  - THUDM/CogVideoX-5b
pipeline_tag: text-to-video
library_name: diffusers
tags:
  - text-to-video
  - diffusers-training
  - diffusers
  - lora
  - cogvideox
  - cogvideox-diffusers
  - template:sd-lora

CogVideoX LoRA

Model description

These are a-r-r-o-w/cogvideox-disney-adamw-3000-0.0003 LoRA weights for THUDM/CogVideoX-5b.

The weights were trained using the CogVideoX Diffusers trainer.

Was LoRA for the text encoder enabled? No.

Download model

Download the *.safetensors LoRA in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import CogVideoXPipeline
import torch

pipe = CogVideoXPipeline.from_pretrained("THUDM/CogVideoX-5b", torch_dtype=torch.bfloat16).to("cuda")
pipe.load_lora_weights("a-r-r-o-w/cogvideox-disney-adamw-3000-0.0003", weight_name="pytorch_lora_weights.safetensors", adapter_name="cogvideox-lora")
pipe.set_adapters(["cogvideox-lora"], [1.0])

video = pipe("BW_STYLE A black and white animated scene unfolds with an anthropomorphic goat surrounded by musical notes and symbols, suggesting a playful environment. Mickey Mouse appears, leaning forward in curiosity as the goat remains still. The goat then engages with Mickey, who bends down to converse or react. The dynamics shift as Mickey grabs the goat, potentially in surprise or playfulness, amidst a minimalistic background. The scene captures the evolving relationship between the two characters in a whimsical, animated setting, emphasizing their interactions and emotions", guidance_scale=6, use_dynamic_cfg=True).frames[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

License

Please adhere to the licensing terms as described here and here.