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 AnimateLCM_sd15_t2v_lora.safetensors from wangfuyun/AnimateLCM: direct link, hf CLI and curl.
- Browser
- Download file 135 MB
-
https://huggingface.co/wangfuyun/AnimateLCM/resolve/3d4d00fc113225e1040f4d3bec504b6ec750c10c/AnimateLCM_sd15_t2v_lora.safetensors
- Command line
-
hf download hf://wangfuyun/AnimateLCM@3d4d00fc113225e1040f4d3bec504b6ec750c10c/AnimateLCM_sd15_t2v_lora.safetensors
-
curl -L -o AnimateLCM_sd15_t2v_lora.safetensors https://huggingface.co/wangfuyun/AnimateLCM/resolve/3d4d00fc113225e1040f4d3bec504b6ec750c10c/AnimateLCM_sd15_t2v_lora.safetensors
135 MB
- Xet hash:
- 9c954cd2720ce3c79251975387c7afb58d4618a6fb1b7926aa0136b1b3209293
- Size of remote file:
- 135 MB
- SHA256:
- 8f90d840e075ff588a58e22c6586e2ae9a6f7922996ee6649a7f01072333afe4
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