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
Download diffusion_pytorch_model.fp16.safetensors from wangfuyun/AnimateLCM: direct link, hf CLI and curl.
- Browser
- Download file 908 MB
-
https://huggingface.co/wangfuyun/AnimateLCM/resolve/main/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://wangfuyun/AnimateLCM/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/wangfuyun/AnimateLCM/resolve/main/diffusion_pytorch_model.fp16.safetensors
908 MB
- Xet hash:
- 6c27dffa9c3edba60b10fe0b358141551147cd9b8b992c2e8d346895e0321dc6
- Size of remote file:
- 908 MB
- SHA256:
- 1997997a982432f5fb79d1d002259ef37ac3212db9f0361f00b104153e68cd6a
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