Instructions to use wangfuyun/AnimateLCM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangfuyun/AnimateLCM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangfuyun/AnimateLCM", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Training on another model architecture
#16
by Shaleen123 - opened
Hey Wangfuyun,
I am trying to make it work with other model architectures like Stable Cascade and Kandinsky, but I think it is trained specifically for SD1.5
Can you provide some explanation on how to do so? Like training the lora or T2V model?
Great Project btw :)